# Welcome to Global Nature Watch Horizon Global Nature Watch Horizon is an open, AI-powered system equipped with your personal geospatial AI assistant, trained on the latest nature monitoring breakthroughs by the world's leading researchers. ## Quick links {% content-ref url="/pages/qHqfXuiYRejtdDykGyJU" %} [About](/get-started/about) {% endcontent-ref %} {% content-ref url="/pages/Tg7hRSXzzgc5mKOFRKQn" %} [Capabilities & Datasets](/get-started/capabilities-and-datasets) {% endcontent-ref %} {% content-ref url="/pages/wVRZOXsGSih9NnMcZDft" %} [Broken mention](broken://pages/wVRZOXsGSih9NnMcZDft) {% endcontent-ref %} {% content-ref url="/pages/hJrRVAp7Xg2FG6TqWLtU" %} [Models](/get-started/models) {% endcontent-ref %} {% content-ref url="/pages/4bm0U9PQ4f9KmhcAS2JU" %} [Accuracy & Performance](/get-started/accuracy-and-performance) {% endcontent-ref %} ## Resources We've put together some helpful guides for you to get setup with our product quickly and easily. {% content-ref url="/pages/4R2uAPK8YuM63dAHlFua" %} [Prompt guidance](/resources/prompt-guidance) {% endcontent-ref %} {% content-ref url="/pages/oymPCv6jRpnY0lF581bU" %} [Access & Usage Limits](/resources/access-and-usage-limits) {% endcontent-ref %} {% content-ref url="/pages/J4fIaZyabKuDKStPGlNN" %} [FAQs](/support/faqs) {% endcontent-ref %} ## Demo {% embed url="" %} # About **Global Nature Watch Horizon** is an experimental, open, AI-powered system that combines peer-reviewed research from Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch) in a simple, chat-style interface.  Users can ask questions in plain language in their own language and receive responses backed by data from Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch), supported by maps, statistics and context. Integrating near-real-time and annual satellite data, it reveals change across ecosystems, from forests to grasslands, croplands and other landscapes.  As the platform continues to improve, it aims to make monitoring more comprehensive, faster and easier, helping people protect and restore ecosystems, support livelihoods and address climate challenges.  {% embed url="" %} # Capabilities & Datasets ## :star:Get started
## :clipboard:Overview Global Nature Watch (GNW) Horizon offers a set of core capabilities designed to help you explore, analyze and make sense of geospatial data to help monitor nature. With GNW Horizon, you can ask questions in plain language to: * Discover and learn about peer-reviewed data from Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch) * Analyze data for your areas of interest and get insights to help make more sense of the data * Get answers that are tailored to your context as a starting point for reports, policies or project decisions When you ask a question or provide a prompt (see [Prompt guidance](/resources/prompt-guidance)), GNW Horizon's AI assistant processes your intent using a system of agents (see [Models](/get-started/models)) to understand your request and set the context — data layer, area, date — for the response. As you explore, you can save both individual insights and full conversations on the platform. Your saved areas, layers and conversations stay organized so you can return to earlier work, build a portfolio of places and questions and pick up right where you left off. Because GNW Horizon is in preview, its capabilities will continue to evolve. It is designed to be open, collaborative and transparent so anyone can build on it. Over time, you can expect new features to be added, existing ones to improve and some to be retired as we learn more about how best to help you work with nature data. ## :information\_source:How Global Nature Watch GNW Horizon Processes Your Request GNW Horizon combines a conversational AI interface with structured geospatial data systems. While you interact with GNW Horizon in natural language, your request is processed through a deterministic[^1], step-by-step analytical workflow to ensure scientific accuracy and reproducibility. At a high level, GNW Horizon uses: * A large language model (LLM) to interpret your request and determine intent * Metadata-aware retrieval (Retrieval-Augmented Generation, or RAG) to understand available datasets and boundaries * Deterministic data services to fetch and aggregate verified geospatial data Once a prompt is entered, GNW Horizon follows a sequential workflow. {% hint style="info" %} #### **How AI and Deterministic Systems Work Together** GNW Horizon combines two types of systems: **AI (Language Models)** * Understand your question * Select datasets and parameters * Explain trends and suggest follow-up questions **Deterministic Data Services** * Retrieve peer-reviewed data from reliable sources (e.g., Global Nature Watch and Land & Carbon Lab) * Perform geospatial calculations, drawing on the Data API and using [CodeAct ](#user-content-fn-2)[^2] * Generate charts and visual outputs using CodeAct * Return the same results every time for the same inputs AI helps interpret and explain. Deterministic systems perform the scientific analysis. {% endhint %} #### Step 1: Understanding Your Request GNW Horizon's language model reads your question and identifies three key components: * Where — the geographic area you're asking about * What — the type of environmental data you need * When — the time period of interest If any of these are missing or unclear, GNW Horizon will ask you to clarify before proceeding. #### Step 2: Identify the Location (Where) GNW Horizon first determines the specific geographic area you are asking about. * It matches your place name to a predefined Area of Interest (AOI) in its spatial database * If a place name is ambiguous (for example, multiple places share the same name), GNW Horizon will ask you to clarify * GNW Horizon analyzes one defined area at a time * You can also click directly on the map to select an area. When active datasets are loaded, a prompt will appear in the chat inviting you to run an analysis on that area immediately. No analysis begins until a specific location is confirmed. *AI interprets your place name. A rule-based system matches it to a predefined boundary.* #### Step 3: Dataset & Time Selection (What and When) Next, Horizon determines which dataset best answers your question. * It interprets keywords such as “fire,” “deforestation” or “land cover change” * It selects the appropriate data layer * It confirms or requests a time range (for example, “2018–2023” or “last three months”) When your question could be answered by more than one dataset - for example, if you ask about fires and several relevant datasets are available - the assistant may present options with a short explanation of each, rather than selecting one automatically. This helps you choose the dataset that best fits your question before the analysis runs. If the time period is missing or unclear, Horizon will ask for clarification before proceeding. *AI selects the relevant dataset and parameters based on your request.* In some cases, the assistant may perform Step 3 in isolation - selecting a dataset or navigating to a location - without proceeding to data retrieval or analysis. This happens when your request is specific and self-contained, such as asking the assistant to add a layer to the map or move to a particular area. When a full analysis is needed, the assistant continues through Steps 4 and 5. #### Step 4: Data Retrieval (Deterministic Query) Once the location, dataset and time range are confirmed, Horizon retrieves the relevant data from its underlying data sources. The data returned reflects: * The selected geographic boundary * The specified time range * The chosen dataset If any required information is missing, this step does not proceed. *This step is fully deterministic: data is retrieved directly from structured geospatial services.* #### Step 5: Analysis & Insight Generation Horizon then analyzes the retrieved data to produce user-friendly outputs. This includes: * Creating a chart or simple visualization * Summarizing key trends in plain language * Suggesting follow-up questions for deeper exploration * Providing access to the underlying code used to produce visualizations The goal is to make complex environmental data understandable and actionable without requiring technical expertise. Deterministic systems provide underlying value for charts. AI: generates executable code when creating charts (rather than manipulating data directly) using CodeAct and explains and summarizes the results. When your question is broad or contextual, the assistant may also draw on WRI and GNW (Formerly GFW) blog content to provide additional context. Where blog sources are used, they appear as inline links in the response so you can read the original content directly. #### Status Updates & Transparency Throughout the process, GNW Horizon may provide short updates (for example, confirming the selected location or dataset). These updates are intended to keep you informed and ensure accuracy before analysis continues. ## :gear:Capabilities & Limitations This section summarizes what GNW Horizon does and does not support across locations, datasets, analysis types and outputs. ### :round\_pushpin:Areas of Interest (AOI) GNW Horizon can analyze data only for predefined geographic boundaries. The table below outlines which types of Areas of Interest (AOIs) are supported and which are not.
CapabilitySupportedNotes
Countries (admin 0) ✅ Predefined boundaries only
States / Provinces (admin 1) ✅ Varies by country
Districts / Municipalities (admin 2) ✅ Where available
Protected Areas (WDPA) ✅ Limited to groups of <25 WDPA areas
Key Biodiversity Areas (KBA) ✅ Limited to groups <25 KBA areas
Indigenous & Community Lands ✅ Limited to groups of <25 areas
Custom Polygons ✅ Can be uploaded (GeoJSON, up to 1 MB) or drawn on the map
Global / Continental Areas ❌ e.g., Africa, Europe
Ecosystems or Regions ❌ e.g., Amazon Basin, Latin America
Buffers ❌ e.g., 10km around a defined area
### :map:Datasets GNW Horizon draws on a trusted set of geospatial datasets from world-leading researchers to provide timely and actionable insights on land use, forest change and nature-based solutions. These datasets include deforestation alerts, historical tree cover loss, land cover maps and more. We are committed to transparency in how data is sourced and used. Most of the data powering GNW Horizon originates from or is also available on [Land & Carbon Lab](https://landcarbonlab.org/data/) and [Global Nature Watch](https://globalnaturewatch.org/) (formerly Global Forest Watch), where you can explore the full range of methodologies, data providers and technical documentation. All data made accessible through GNW Horizon has been peer reviewed. The tables below summarizes the data themes currently supported and their general characteristics. #### Ecosystem Monitoring | Dataset | Description | Notes | | | --------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- | | [Tree Cover](https://glad.earthengine.app/view/global-forest-change) | 2000 baseline, 30m resolution, global \| Source: UMD | data can be filtered by % canopy cover, Forest Carbon Stocks | | | [Tree Cover Gain](https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2022.856903/full) | 2000-2020, 5-year intervals, 30m resolution, global \| Source: UMD | data can be filtered by % canopy cover, Forest Carbon Removals | | | [Tree Cover Loss](https://glad.earthengine.app/view/global-forest-change) |

2001-2025, annual, 30m resolution, 10% - 75% canopy density in 5% increments, global | Source: UMD

| data can be filtered by % canopy cover, Primary Forest, Forest Greenhouse Gas Emissions, Intact Forest Landscapes, and Tree Cover Loss due to Fires data | | [Tree Cover Loss by Dominant Driver ](https://doi.org/10.1088/1748-9326/add606) | 2001-2025, \~1km resolution \| Source: WRI/Google DeepMind | data can be filtered by % canopy cover, Forest Greenhouse Gas Emissions | | | [Tree Cover Loss due to Fires](https://glad.umd.edu/dataset/Fire_GFL/) | 2001-2025, annual, 30m, global \|Source: Hansen/UMD/GLAD | data can be filtered by % canopy cover, Primary Forest, Forest Greenhouse Gas Emissions, and Intact Forest Landscapes data | | | [SBTN Natural Lands Map](https://sciencebasedtargetsnetwork.org/wp-content/uploads/2025/02/Technical-Guidance-2025-Step3-Land-v1_1-Natural-Lands-Map.pdf) | 2020, 30m resolution \| Source: SBTN/LCL/WWF/Systemiq | | | #### Land Cover Change Monitoring | Dataset | Description | Notes | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [Global All Ecosystem Disturbance Alerts (DIST-ALERT) ](https://doi.org/10.5067/SNWG/OPERA_L3_DIST-ALERT-HLS_V1.001) | 2023-present, updated weekly, 30m resolution, global \| Source: UMD | alerts can be filtered by any one of the following datasets at a time: drivers (LDACS), SNTB Natural Lands Map, Global Natural/Semi-Natural Grassland Extent (2022), Global Land Cover (2024) | | [Global Land Cover](https://landcarbonlab.org/insights/global-land-cover-maps-accuracy-applications/) | 2015-2024, annual, 30m resolution \| Source: UMD | analysis of land cover change is only available for 2015 to 2024 (not annually), and land cover analysis is only available for 2024 | | [Land Disturbance Alert Classification System (LDACS) ](https://www.wri.org/research/land-disturbance-alert-classification-system?ap3c=IGdAYXiOO8k9VJQAAGdAYXiLFAAmZZw7aC384VmhONHrI6lppg) | 2024-present, updated quarterly, 30m resolution \| Source: WRI/UMD | | #### GHG Monitoring | Dataset | Description | Notes | | ------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- | ------------------------------------------------------------------------------- | | [Forest Carbon Removals](https://data.globalforestwatch.org/datasets/gfw::forest-carbon-removals/about) | average over 2001-2024, 30m resolution \| Source: WRI | can be analyzed but isn't available to view on the map as a separate data layer | | [Forest Greenhouse Gas Emissions](https://data.globalforestwatch.org/datasets/gfw::forest-greenhouse-gas-emissions/about) | 2001-2024, annual, 30m resolution \| Source: WRI | can be analyzed but isn't available to view on the map as a separate data layer | | [Forest Greenhouse Gas Net Flux ](https://data.globalforestwatch.org/datasets/gfw::forest-greenhouse-gas-net-flux/about) | average over 2001-2024, annual, 30m resolution \| Source: WRI | | #### Agricultural Monitoring | Dataset | Description | Notes | | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | | [Deforestation (sLUC) Emission Factors by Agricultural Crop](https://github.com/wri/GCSC) |

2020–2024, tabular data at national/subnational levels
Source: LCL

|

Covers 42 agricultural crops. Only available for administrative boundaries (not KBAs, protected areas, etc.)
\*Analysis only

| | [Global Natural/Semi-Natural Grassland Extent ](https://datasets.wri.org/datasets/grassland-dynamics?map=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%3D%3D\&ap3c=IGdAYXiOO8k9VJQAAGdAYXiLFAAmZZw7aC384VmhONHrI6lppg) | 2000-2024, annual, 30m resolution \| Source: LCL/OpenGeoHub/LAPIG/IIASA/iDiv | data only available up to 2022 | ### :chart\_with\_upwards\_trend:Analyses GNW Horizon performs structured, descriptive analyses based on the selected location, dataset and time range. The table below summarizes the types of analyses supported.
Analysis TypeDescriptionExampleStatusNotes
Area-based summaries Straightforward query targeting one area or dataset “How much area was affected by conversion alerts in Peru?” ✅
Temporal analysis Refers to specific years or date ranges “How much forest was lost in Brazil between 2001 and 2020?” ✅
Trend analysis over time Analyzes trends based on data analysis over time “Is deforestation going up or down in Brazil?” ✅ Within selected AOI
Before / after comparison Analyzes data before and after a specified time “Compare deforestation in Kalimantan before and after the start of Nusantara in 2022.” ✅ Requires defined time range
Cross-location comparison Compares two or more named areas “Which had more cropland in 2015, Nigeria or Ghana?” ✅
Nested-area comparison Compares sub-areas within a larger one “Which state in India lost the most forest cover?” ✅
Dataset class comparison Compares classes of data in a given location or analyzes a specific class in the data “What percentage of disturbances in Occitanie were due to crop management in 2023?”

✅

Ranking Ranks subareas within a larger area “What states in Brazil had the most tree cover loss in 2024?”

✅

Slow, and limited to 1,000 areas
Cross-country analysis Ranks countries globally “Where is agricultural land found in the greatest area globally?” ✅ Up to 1,000 areas
Predictive modeling ❌ Not supported
Forecasting ❌ Not supported
### :bar\_chart:Outputs GNW generates standardized visual and narrative outputs designed to make data accessible and interpretable. The table below outlines the supported output types.
Output TypeSupportedNotes
Time series charts ✅ Primary visualization
Bar / comparison charts ✅ Simple comparisons
Written summaries ✅ Plain-language insights
Raw data downloads ✅ “View how this was generated” gives access to raw, chart data and the code used to generate the visualization
Custom maps and data visualizations ❌ Not supported
[^1]: Produces the same result every time given the same inputs [^2]: AI agent framework that enables Large LLMs to use programming (executable Python code) as a tool to solve problems, rather than relying solely on text or predefined JSON tools # Models Global Nature Watch (GNW) Horizon is powered by a multi-model AI architecture designed to use the right model for each task—rather than relying on a single system for everything. Instead of treating models as interchangeable alternatives, we run multiple specialized models in parallel, each responsible for different parts of the experience. For example, some models handle core reasoning and analysis, while others are optimized for lightweight tasks like dataset selection, naming or fast interactions. Today, our production system primarily uses Google’s Gemini model family across these roles, allowing us to balance performance, speed and cost. This includes: * A primary model for complex reasoning and user interactions * Faster, lightweight models for simple or high-frequency tasks * Dedicated models for code execution and data processing * Embedding models for dataset retrieval and search We continuously test and integrate models from other leading providers, including OpenAI and Anthropic, and may route specific tasks to different models as the system evolves. This architecture allows us to improve reliability, efficiency and quality—while ensuring each part of the system is handled by the model best suited for it. **How it works:** 1. **Processing your intent**: When you ask GNW Horizon a question, we use LangChain to process the natural language and determine your intent. This allows us to select the best AI models and analysis tools for the response. 2. **Retrieving quality data**: Our data comes via APIs from Global Nature Watch (formerly Global Forest Watch) and Land & Carbon Lab, initiatives powered by contributions from researchers and partners around the globe. This means peer-reviewed data from reliable sources. 3. **Composing a response**: The AI synthesizes the best response based the information at hand: user prompt, analyzed data and relevant context. 4. **Returning a response**: Our agents are currently able to create spatial summary statistics, perform dataset searches and return natural-language summaries. # Accuracy & Performance ## :clipboard:Overview The platform is designed for high accuracy and to rigorously avoid misinterpreting satellite data through a sophisticated, multi-layered approach: * **Orchestration and reasoning with LangChain**: Under the hood, our system uses LangChain to coordinate various AI models and tools. This allows the assistant to effectively reason, plan its approach to your query and then use a specialized suite of capabilities on your behalf. * **Deterministic geospatial analysis tools:** When you ask a question that requires data (e.g., "What was the tree cover loss in this area?"), the AI uses tools that access our analysis and map rendering services to perform deterministic geospatial calculations. These are pre-built, robust tools (not generative AI outputs) that: * Execute precise geospatial analysis over your regions of interest. * Generate visual outputs on demand. * Crucially, return deterministic, verifiable results that come directly from our peer-reviewed Global Nature Watch (formerly Global Forest Watch) and Land & Carbon Lab data sources, ensuring the assistant's factual outputs are always grounded in reliable, objective data. * **Grounded generative insights with Retrieval Augmented Generation (RAG):** While the core geospatial analysis is deterministic, the conversational layer and "generative insights" are powered by large language models. To ensure these LLMs provide answers that reflect real expertise and are factually correct (and don't "hallucinate"), the assistant is grounded using Retrieval Augmented Generation (RAG). This process works by: * **Consulting a curated knowledge base:** Instead of relying solely on its general training, the LLM first consults our specific, curated knowledge base. This includes up-to-date layer descriptions, comprehensive metadata, internal research papers and expert guidance from WRI and Land & Carbon Lab. * **Providing context to the LLM:** Relevant information retrieved from this knowledge base is provided as context to the LLM alongside your query. This ensures the assistant responds like a knowledgeable research assistant, pulling directly from our validated content. * **Continuous performance evaluation:** We also run performance evaluations on the assistant. This ongoing testing ensures the tool maintains a high success rate when executing user queries and consistently delivers accurate and reliable results. While GNW Horizon's AI assistant is designed to generate high-quality, reliable insights by drawing on peer-reviewed geospatial data and carefully structured methodologies, it is still improving and may occasionally produce inaccurate responses, especially when interpreting quantitative results such as graphs or charts. The underlying data and map layers themselves are deterministic (not generated by AI) but LLMs are used to explain and summarize those results, which can sometimes introduce errors. If you notice something that seems incorrect, please click the thumbs down button to provide feedback. Your input helps us continue improving the tool's accuracy and usefulness.
## :chart\_with\_upwards\_trend:Performance *Coming soon* We're developing metrics to evaluate system stability and AI assistant performance and will share here once they're ready. What GNW Horizon metrics would you like to see? Please share ideas through the [GNW Support Form](https://globalnaturewatch.zendesk.com/hc/en-us/requests/new). # Product Status & Updates **Global Nature Watch (GNW) Horizon is currently in preview** — an experimental release designed to test and improve AI capabilities for monitoring nature. While in preview, users may notice changes in assistant behavior, available data and application features as we iterate based on feedback and technical improvements. During this phase: * The **AI assistant** may behave inconsistently or change as we update underlying models. * **Features and datasets** may be added, updated or removed as we improve coverage and reliability. * **Results may contain errors or incomplete interpretations** — always verify with primary data sources before using results for analysis, reporting or decision-making. ## :new:Recent & Upcoming Changes **July 2026** **New domain addresses, visual rebrand, and WRI blog sources** This release marks the completion of the domain transition and brings visual rebrand updates across both platforms, alongside the blog sources feature that shipped in Sprint 8. **New domain addresses** Both platforms have moved to new addresses: * **Global Nature Watch** (formerly Global Forest Watch) is now at **globalnaturewatch.org** * **Global Nature Watch Horizon** is now at **horizon.globalnaturewatch.org** If you visit the old addresses, you will be redirected automatically. Please update any saved bookmarks. **Visual rebrand** Updated logos, headers, and copy are now live across both platforms, reflecting the transition from Global Forest Watch (GFW) to Global Nature Watch (GNW). Additional updates are rolling out over the coming days. If you notice anything that looks out of place, you can reach the support team via the [Help Center support form](https://globalnaturewatch.zendesk.com/hc/en-us/requests/new). **WRI and GFW blog sources** When you ask a broad or exploratory question, the assistant can now draw on blog content from WRI and GNW (Formerly GFW). Relevant posts appear as inline sources alongside the response, with links so you can navigate directly to the original content. The assistant also uses these sources to suggest follow-on analyses. *Try: "What is driving deforestation in the Amazon?" - the assistant may surface related blog content alongside its response.* **Global Forest Watch is now Global Nature Watch** Users landing on the [Global Forest Watch platform](https://www.globalforestwatch.org/) will see a new announcement banner and updated logo marking the transition to Global Nature Watch. Further updates to the platform will follow in the coming weeks. Within this transition, this Global Nature Watch has now become ***Global Nature Watch Horizon (GNW Horizon)***. This release marks the start of the rebrand transition and introduces a redesigned map interface alongside two new modes for running an area analysis. **Updated Data Catalogue and Area Tools panels** Both panels have been redesigned as part of the ongoing map interface refresh. The Data Catalogue makes it easier to browse and add datasets, and the Area Tools panel has been updated to match. These are visible to all users now. **Two ways to analyze an area (coming soon)** Following the introduction of one-click analysis, you will soon be able to choose how your analysis runs when you click an area of the map: * **Curated analysis** — returns a pre-built chart immediately, without using a query credit. Best for a fast answer to a standard question. * **AI-assisted analysis** — generates a more flexible, bespoke response using the assistant. Uses one query credit. This feature is currently in final testing and will be available to all users soon. **WRI and GFW blog sources now available** The GNW Horizon assistant can now draw on blog content from WRI and GNW (Formerly, Global Forest Watch) when answering broad or exploratory questions. When relevant blog posts are available, it will surface them as inline sources alongside its response, with links so you can read the original content directly. This works best for open-ended questions where you want context alongside data, for example, asking about deforestation trends in a region, or the relationship between fire and tree cover loss. The assistant will suggest follow-on analyses based on what the blog content covers. **June 2026** **One-click analysis, quality-of-life improvements, and accessibility updates** This release focuses on making analysis faster to reach, easier to act on, and more accessible across different workflows. **One-click analysis** You can now click directly on an area of the map to trigger an analysis - no prompt required. When you click, a nudge appears in the chat inviting you to analyze the selected area. Click it, and the assistant gets to work immediately. This is the fastest way to get from the map to an insight. This feature works alongside the existing conversational flow - you can still type a question at any point. **Export and continue your analysis** Insights can now be taken further in a few new ways: * Export as image - Download any chart as a PNG using the Download menu on the insight card. * Continue in your preferred tool - Use the "Continue in..." dropdown to export your data and context as a prompt, ready to open directly in Claude, ChatGPT, or Gemini. **Chart scaling** When chart data shows little variation across the y-axis, you can now toggle "Fit to data" to rescale the axis and make smaller differences easier to read. **Accessibility improvements** Area of interest borders on the map are now more visually distinct across both light and dark basemaps, making it easier to identify selected areas at a glance. You can now also press a stop button to interrupt the assistant while it is reasoning **A redesigned workspace, a smarter assistant, and new fires data** This release brings a significant update to how GNW Horizon looks and behaves. The map is now front and center, GNW Horizon has been rebuilt to handle more granular actions, and a new fires dataset has been added, along with tools to help you choose the right one. **A fresh look and feel** * **Map-first layout:** The workspace is now built around the map. The chat panel is more compact and glanceable, keeping the focus on where you are and what you are exploring. * **Redesigned cards:** Dataset, area, and insight cards have been updated for clarity, so you can see at a glance what GNW Horizon has selected and why. * **What's New panel:** A new in-app panel surfaces recent changes each time you open the application, so you are always up to date. Look for the notification in the header. * **Persistent preview badge:** The preview disclaimer has moved to the header, where it is always accessible. It now links directly to key Help Center pages so you can get answers without leaving the app. * **Ready to explore immediately:** Tree Cover Loss and GADM administrative boundaries are now active by default when you open GNW Horizon. Click any area and start asking questions straight away. **Smarter, more composable assistant** GNW Horizon has been rebuilt on a skills-based architecture. Rather than running a end-to-end analysis, it now performs individual actions and combines them when needed. * Navigate the map to a location: *Try: "Go to Japan."* * Add a specific dataset to the map: *Try: "Add tree cover loss to the map."* * Explain an insight already on screen: *Try: "What does this chart show?"* * Run a full analysis when that is what you need: *Try: "Analyze tree cover loss in Indonesia over the last 10 years."* This makes GNW Horizon more responsive to shorter, more directed requests. **Tree Cover Loss due to Fires (2001–2025)** Tree Cover Loss due to Fires is now available as a map layer and analyzable by GNW Horizon, covering annual data from 2001 to 2025. You can toggle it on in the layer browser, filter by year, and ask GNW Horizon questions about it directly. This dataset can be filtered by: * Tree cover threshold * Intact Forest Landscapes (IFL) * Primary forests **Dataset nudges** With three fire-related datasets now available - DIST Alerts, Tree Cover Loss, and Tree Cover Loss due to Fires - GNW Horizon will prompt you to choose the most relevant one when your question could be answered by more than one option. It explains what each dataset covers and when it is most useful, so you can make an informed choice before the analysis runs. *Try: "I'm interested in fires in Brazil" -* GNW Horizon *will offer options with a short explanation of each.* **May 2026** **A more collaborative assistant** The assistant now works more closely with you in conversation, giving you finer control over how it acts. You can tell it exactly what to do, and it holds your active area, dataset, and date range between turns so you can have a real back-and-forth without restating context every time. * Pull-only requests stop at the data: When you ask for raw data, the assistant retrieves it and stops, so you can decide what to do next. Try: "Pull DIST alerts for Bern, Switzerland, for the last 2 weeks." * Analysis requests go end-to-end: When you ask for a chart, insight, or analysis, the assistant continues through to a visualization with a short interpretation. Try: "Analyze tree cover loss in Canada, over the last 5 years." * Clearer routing for short requests: Dataset-only ("pick TCL by driver") and area-only ("zoom to Gabon") requests now stop after the matching step instead of escalating into a full analysis. Try: "Pick the tree cover loss by driver dataset" - the assistant selects it and waits. **The map as a workspace** The map is now where you and the assistant work together. Insights appear on the map where the analysis happened - pinned to the area in focus, rather than scrolling away in chat. A redesigned legend brings the assistant's choices into plain view: active layers, the area in focus, the dataset and date range in use, and the opacity of each layer. You can see at a glance what's driving each result, and adjust it directly. Chat becomes a cleaner narration of what the assistant did and why; the map is where you explore and compare. * Insights pinned to the map: Generated insights appear on the map alongside the area they describe, instead of in the chat thread. Navigate between recent insights with prev/next controls. Try: "Analyze tree cover loss in Pará since 2001" — the resulting chart appears on the map, not in chat. * The assistant's selections, made visible: The area in focus, the active dataset, and the current date range are all surfaced on the map and in the legend, so it's always clear what the assistant has chosen on your behalf. * A cleaner chat thread: Chat is now a narrative of what the assistant did and why. Dataset cards, area cards, and insights live in the workspace, not the chat — so the conversation stays scannable even after long sessions. **Intact Forest Landscapes dataset** GNW Horizon now hosts the **Intact Forest Landscapes dataset.** Ask GNW Horizon to filter TCL within Intact Forest Landscapes via the chat function. The results will then be visible on the map using 2025 data. **April 2026** **Tree Cover Loss 2025** The latest annual Tree Cover Loss data is now available in GNW Horizon, with two new ways to refine your queries: filtering for primary forest and setting a specific canopy threshold. Together these let you ask more precise questions about where, and what kind of, forest loss is happening. * **Latest Tree Cover Loss data:** Ask about the most recent year of forest loss alongside the historical record (2001 onwards). *Try: "How much tree cover loss occurred globally in 2025?"* * **Filter by Primary Forest:** Narrow any tree cover loss query to primary forest only, helping you separate loss in old-growth ecosystems from loss in younger or planted forest. *Try:* *"Show primary forest loss in Indonesia between 2002 and 2025."* * **Specific tree canopy threshold:** Set the minimum canopy density (e.g. 30%, 50%, 75%) used to define "forest" in your query, so results align with the methodology you or your audience expect. *Try:* "What was tree cover loss in the DRC in 2025 using a 75% canopy threshold?" **Improvements** * **Ask about multiple areas at once:** You can now include several locations in a single question e.g. *"Show deforestation in Brazil, DRC and Indonesia."* Results are returned together for easy comparison. * **Fewer errors, faster recovery:** The assistant now retries automatically when something goes wrong, reducing the chance of a query failing mid-analysis. * **Model change:** Migrated to Google Gemini Flash, improving response speed without sacrificing quality for more complex queries. **New features** * **Step-by-step AI reasoning now visible:** See how the AI reached its answer: the assistant now shows its reasoning steps as it works through your question. * **Improved legends and AOI handling:** *Map legends and area labels are now clearer and more consistent across queries.* * **Chart improvements:** General improvements to the chat interface for a smoother experience and clearer presentation * **Data accessibility:** Chart data can now be viewed in fullscreen, toggled between a chart and table view, and downloaded as a `.csv` file. **Fixes** * General improvements to interface speed and visual consistency. **December 2025** **Improvements** * **Model upgrade:** Migrated to [**Google Gemini Pro 3**](https://deepmind.google/models/gemini/pro/). * **Chart generation reliability:** The GNW Horizon Assistant now generates executable code when creating charts (rather than manipulating data directly), using a capability called CodeAct. **New features** * **“See how this was generated”:** Added UI component accessible from insights that opens a pane showing the full data transformation pipeline (**API call → intermediate transforms → final output**) supporting validation and **reproducible charts**. Raw analytics data can also be downloaded in `.csv` format. **Data** * **New dataset:** Added **Deforestation (sLUC) Emission Factors by Agricultural Crop** dataset with admin-unit coverage up to country level. **Fixes** * Multiple fixes to improve overall **accuracy**, **transparency** and reduce **bugs** across common workflows. **October 2025** * **Conversation thread sharing:** Users can now make their conversations public and share urls. * **Agent improvements:** Minor updates now to better recognize dataset-specific terminology and proactively surface relevant cautions when generating insights. ## :speech\_balloon:Feedback Your feedback directly helps shape the next version of GNW Horizon. Please tell us about your experience and share any suggestions submit a[ request form](https://globalnaturewatch.zendesk.com/hc/en-us/requests/new). ## :link:Related Resources * [Dataset library](broken://pages/wVRZOXsGSih9NnMcZDft) * [Models ](/get-started/models) * [For Developers](/technical-documentation/for-developers) # Prompt guidance Global Nature Watch (GNW) Horizon is designed to help you quickly extract valuable, actionable insights from complex geospatial data sourced from Global Nature Watch (formerly Global Forest Watch) and Land & Carbon Lab. Think of it as an expert research assistant or colleague — the more precise and well-structured your questions (prompts), the more relevant and useful its answers will be. Here’s how to craft effective prompts to get the most value from the tool: ## 📝Core principles for effective prompting ### 1. Be clear and specific Avoid vague or ambiguous language. Tell the tool exactly what information you are seeking. * Instead of: "Tell me about forests." * Try: "What was the total primary forest loss in the \[name of your defined area of interest] between 2018 and 2023, and what alerts were most frequent during that period?" ### 2. Provide essential context Always specify the geographic area you've defined (once selected or drawn in the tool) and the time period relevant to your query. You can also mention specific datasets if you have a preference. * "For \[your currently selected area] between \[start date] and \[end date], please summarize ..." * "Using land disturbance data, analyze the changes in ..." * You can also click directly on the map to select an area. When active datasets are loaded, a prompt will appear in the chat inviting you to run an analysis on that area immediately. ### 3. State your goal and desired output Clearly indicate what kind of answer you expect. Do you want a summary, a comparison, a list, a trend analysis or an explanation? * "Summarize the key land cover changes in ..." * "Compare the rate of tree cover gain in region A versus region B." * "Identify the top 3 areas with the highest carbon emissions from deforestation in this region." ### 4. Iterate and refine If the first answer isn't precisely what you need, don't hesitate to refine your prompt. Add more detail, narrow the scope or rephrase your question. It's an interactive process, and the AI learns from your refinement. * First prompt: "Show me deforestation in Brazil." * Refined prompt: "For the Brazilian Amazon, specifically within the Xingu Indigenous Park, how much deforestation occurred between 2024 and 2025?" ### 5. Understand the platform's scope Remember that the AI assistant processes and interprets the GNW and Land & Carbon Lab data within the platform. It does not have real-time external knowledge, personal opinions or the ability to conduct fieldwork. Avoid questions that require subjective judgment, future predictions or information not present in the integrated datasets. * Avoid: "Will deforestation increase next year in this area?" or "Why did the local government approve this specific land use change?" ## 🤓 Prompting strategies and best practices * **Start broad, then narrow down**: If you're exploring a new area, begin with a general question and then ask follow-up questions to drill into specifics. * "What are the major land cover changes detected in \[your area of interest] over the last 5 years?" * Follow-up: "Can you provide more detail on the drivers of tree cover loss in that area, according to disturbance alerts?" * **Use relevant keywords**: Incorporate terms specific to land monitoring and the datasets, such as: `tree cover loss`, `tree cover gain`, `carbon emissions`, `carbon sequestration`, `land disturbance`, `deforestation alerts`, `primary forest`, `grassland`. * **Specify output format**: If you prefer your answer in a specific structure, you can include this in your prompt. * "List the primary causes of forest disturbance in \[area of interest] as bullet points." * "Provide a brief summary paragraph of the carbon flux in \[area of interest]." * **Test and experiment**: The best way to learn is by doing. Don't be afraid to experiment with different phrasings and question types. # Access & Usage Limits To control the costs of running Global Nature Watch (GNW) Horizon while it's in preview and ensure as many people as possible can test it out, each user has a limited number of prompts per day (1 prompt = 1 chat entry). The number of prompts allowed per day may fluctuate based on demand but will always be reflected in the upper right of the screen. You can view this number in the top right of your screen along with links to What's New and the Help Center.
If you run out of prompts for the day, you can still manually browse and view data on the map by clicking on the "data layer" context chip in the chat. We're evaluating ways to more efficiently answer user queries and bring down cost and are hopeful that we can eventually significantly increase daily prompt limits.
# Known Issues Last updated: 28 April 2026 ### Known Issues Global Nature Watch (GNW) Horizon is an **experimental preview**. The platform combines AI assistance with a range of geospatial datasets, and both the underlying models and the data layers are actively evolving. Features, behaviors, data coverage, and outputs may change (sometimes significantly) between releases. You should always treat results as a starting point for investigation rather than as a finished analysis, and validate important findings against the original data sources before relying on them for decisions, reporting, or publication. This page collects issues our team is currently aware of and working through. It is not exhaustive, and new issues are identified regularly. If you come across something that looks wrong or confusing, please let us know through the feedback tools in the platform (your reports help us prioritize). ### How the assistant interprets your question The AI assistant does not always interpret requests in the way a user might expect. You may notice: * Date ranges in the response that do not match the date range you asked about, or totals that cover a wider span than intended. * The assistant answering about a specific year when you did not specify one, or asking for a year when a reasonable default could have been used. * Two similarly worded questions returning noticeably different answers. * Occasional responses that do not clearly address the question that was asked. If a response feels off, try rephrasing your question, being explicit about the time period, location, and topic, and check that the parameters shown in the response match what you intended. ### Which dataset the assistant chooses The assistant selects datasets automatically based on your question. In some cases the selection may not be the most appropriate one for your use case. In particular: * Queries about forest loss or deforestation may be answered using alert-style datasets (near-real-time disturbance signals) rather than annual loss datasets, or vice versa. These measure different things and are not directly interchangeable. * The assistant may occasionally suggest an analysis or dataset that is not actually available on the platform. * For some topics (for example, certain carbon storage questions), the most suitable dataset may not yet be integrated and a related dataset will be used instead. * The assistant does not always select a more specific dataset (such as a primary-forest variant) when that would be the more appropriate choice for a tropical or sub-tropical query. Where the choice of dataset matters to your interpretation, we recommend confirming which dataset was actually used and whether it is fit for the question you are asking. ### Numbers and calculations Numerical results should be treated with care during the preview. Known points to be aware of: * Figures on GNW Horizon may not always match equivalent figures you see elsewhere, even when the underlying dataset is the same. Differences can come from how the area, time period, or filters are applied. * In some combinations of filters (for example, certain land-mask options), results can move in an unexpected direction compared with the unfiltered query. * Emissions and removals queries occasionally return incomplete results, omit parts of the time series, or describe outputs in ways that do not fully match what was computed. If a number looks surprising or important to a decision, please cross-check it against the original dataset rather than relying on the in-platform figure alone. ### Charts and visualizations You may occasionally see inconsistencies between the chart and the accompanying narrative, or within the chart itself. Examples include: * Chart titles or captions that reference a dataset, metric, or series that is not actually shown on the chart. * Axis labels, units, legends, or sign conventions that are incorrect, missing, or inconsistent. * Charts that render with missing or empty data even though the accompanying text implies results exist. * Differences in how the same underlying data is visualized here compared with other products. * Occasional failures to render a chart, shown as an error message in the chat. The assistant is usually able to continue its analysis and interpretation from the underlying data, so the written response should still be useful. If the chart itself does not appear, asking the assistant to try generating it again succeeds in the majority of cases. When in doubt, the textual narrative and the underlying data values (not the chart formatting) are the better reference. ### Language, terminology, and tone Because the assistant generates text, the way results are described is not always scientifically precise. We are actively refining this, but you may still see: * Terms such as "deforestation", "forest loss", and "disturbance" used less precisely than their technical definitions require (for example, certain disturbance signals being described as deforestation when they may represent other processes such as fire). * Subjective or evaluative language (for example, words like "significant") in places where a more neutral description is appropriate. * Hedging or softened language where a direct statement would be clearer, and vice versa. * Conclusions that combine or generalize across categories in ways the underlying data does not strictly support. * Outputs that touch on sensitive topics (carbon credits, wildfire interpretation, conservation status) where the assistant's framing may not yet be sufficiently careful. Please read the assistant's wording as AI-generated narrative, not as expert interpretation. ### Sources, citations, and dataset information The platform is not yet fully reliable in describing the data behind an answer: * Citations and dataset references may occasionally be incomplete, incorrect, or generated rather than drawn from the actual source. * Dataset cards, metadata, and temporal coverage statements may not always match the dataset that was used, including availability dates. * Some analyses draw on a contributing dataset that is not explicitly named in the response. * Internal configuration text occasionally appears in user-facing metadata where it should not. If you intend to cite an output from the platform, please verify the source details against the dataset's own documentation. ### Locations and maps The way the assistant resolves a place name to a specific area on the map can be inconsistent: * Common or ambiguous place names may resolve to a different location than you intended, particularly where multiple places share a name or where the match is partial. * Some protected areas or administrative units are not yet reliably found by name. * In certain named locations a very small or unrepresentative area may be selected. * Some regions currently see a higher rate of query failures than others. * Information describing the satellite imagery currently shown on the map is not always accurate. Where the exact area matters (for example, for a named protected area or concession), please confirm visually on the map before drawing conclusions. ### Messages shown in the application A few rough edges in the interface itself: * Technical error messages from underlying tools may sometimes appear in the chat even when the assistant has recovered and continued successfully. These can usually be ignored if a complete answer follows. * Some staging or intermediate status messages may be phrased in ways that are unclear to users outside the team. ### Reporting something new This list is not complete, and we would rather hear about an issue than not. Please continue to flag anything that looks wrong, confusing, or inconsistent through the feedback options in the platform, [contact us](https://globalnaturewatch.zendesk.com/hc/en-us/requests/new). Each report helps us prioritize what to fix next. Thanks! # Webinars & Recordings
Launch webinar
Templates
Imagery
Exports
# Templates {% hint style="info" %} **GitBook tip:** your product docs aren't just a reference of all your features, use them to encourage folks to perform certain actions and discover the value in your product. {% endhint %} ## Permission levels There are 4 types of permission levels in the product.
RoleCapabilities
AdministratorHas all admin privileges
EditorCan edit posts
ViewerCan only view posts
GuestCan only view posts they are inivted to
# Imagery {% hint style="info" %} **GitBook tip:** Try out a range of different content types to keep folks engaged and interested in each feature, some content types work for different chunks of information {% endhint %}
As a Guest User
As an Editor
As an Admin
# For developers You can view all documentation on GitHub: {% embed url="" %} Global Nature Watch platform repository {% endembed %} {% embed url="" %} Global Nature Watch API documentation {% endembed %} {% embed url="" %} Global Nature Watch frontend repository {% endembed %} # FAQs
What types of data power Global Nature Watch (GNW) Horizon? GNW Horizon combines datasets from Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch) to provide a powerful, multi-layered view of environmental change — including shifts in ecosystem and land cover extent, vegetation cover, greenhouse gas dynamics and land disturbances over time — supporting more informed decisions around conservation, restoration and sustainable land management. The platform integrates both near real-time and annual satellite data, delivering key insights across diverse ecosystems — from forests to grasslands, croplands and natural lands. Refer to the [Datasets page](broken://pages/wVRZOXsGSih9NnMcZDft) for an up-to-date list of supported datasets. Looking ahead, we plan to integrate additional datasets that expand the platform’s scope — from more detailed carbon-related monitoring to deeper insights on grassland condition and productivity — providing a clearer picture of how and where our planet is changing.
How can I download datasets available on Global Nature Watch Horizon? You can download data by visiting the Land & Carbon Lab [website](https://landcarbonlab.org/data/), by visiting Global Nature Watch’s [Open Data Portal](https://data.globalforestwatch.org/), or [WRI's Data Explorer](https://www.wri.org/data).
Can users upload or analyze their own datasets within Global Nature Watch Horizon? Users can define a custom area of interest by drawing or uploading a polygon. However, the platform does not currently support uploading additional user-specific data layers for analysis.
How does Global Nature Watch Horizon protect user privacy and data? GNW Horizon protects user privacy and data by applying the same rigorous standards used across WRI's platforms, including Global Nature Watch (formerly Global Forest Watch). Please refer to the following privacy notices that govern GNW Horizon: * [Global Nature Watch AI Privacy Notice](/legal-notices/global-nature-watch-horizon-privacy-notice) * [WRI Privacy Policy](https://www.wri.org/about/privacy-policy) Users can request to delete their accounts by emailing .
How much energy does Global Nature Watch Horizon use, and what are you doing to minimize its environmental impact? We take the environmental impact of AI seriously and design GNW Horizon to be as efficient as possible, while constantly working to improve its performance. We minimize the footprint by: * **Using efficient models.** We use AI models that balance accuracy with efficiency — such as by reducing redundant processing by storing results of common questions — so we don’t use more computing power than necessary. * **Monitoring performance.** We consistently track how the platform is used so we can spot inefficiencies, improve speed and minimize unnecessary resource use — and be transparent about its operational impact. But what does this mean for the actual footprint? Some of our [best estimates](https://www.nature.com/articles/s41598-024-54271-x) are that one query emits around 2 to 3 grams of CO₂. To put that in perspective: * **Light use** (about 10 queries per week, \~500 per year) = \~1–1.5 kilograms CO₂ per year — about the same as driving a typical car 3–5 miles. * **Heavy use** (about 20 queries per day, \~7,000 per year) = \~14–20 kilograms CO₂ per year — about the same as a one-way economy flight of 100–150 km (e.g., Washington, DC, to Philadelphia). In contrast, CO₂ emissions from land use change (such as deforestation and conversion of other natural ecosystems for agriculture and other uses) are estimated at over 4 billion tonnes in 2024. GNW Horizon is designed to ultimately reduce waste, not create it — by enabling faster, smarter decisions about land, ecosystems and climate. We are confident that, over time, the environmental benefits it enables will outweigh the emissions from running the platform, and we are committed to driving that footprint down even further.
Will Global Nature Watch Horizon provide enhanced analysis or predictive modeling? Not at this time. GNW Horizon focuses on making existing monitoring data more accessible and actionable. While it may highlight trends or surface patterns, it does not currently generate predictive models.
What AI model is this built on, and how does it work? GNW Horizon uses a multi-model AI system rather than a single model. Different models work together behind the scenes, each handling specific tasks—like conversation, reasoning or retrieving relevant geospatial data. This approach allows us to use the best tool for each job, improving speed, accuracy and reliability. We continuously evaluate and update the models we use as the technology evolves. Learn more about models here: [Models](/get-started/models)
How accurate is Global Nature Watch Horizon? How does it avoid misinterpreting satellite data? GNW Horizon is designed to produce analysis grounded in open, peer-reviewed geospatial datasets from Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch). Rather than relying on general web information, it uses validated satellite data, established methodologies and documented metadata. To reduce the risk of misinterpretation, the system uses a structured approach to answering questions. When you submit a query, it doesn’t generate an answer directly—instead, it first identifies the relevant datasets, methods and geographic context, then executes the analysis using WRI-managed data services. This approach (sometimes called CodeAct[^1]) ensures that results are computed from source data, not inferred by a large language model alone. Responses are also linked to underlying documentation and metadata, so outputs can be traced back to their original data sources and methods. We continuously evaluate the system using real-world queries to ensure it selects the right datasets, applies appropriate safeguards and avoids misleading results. GNW Horizon is still experimental, so some responses may be incomplete or incorrect. We are actively improving the system and encourage users to share feedback if something doesn’t look right. Learn more here: [Capabilities & Datasets](/get-started/capabilities-and-datasets)
What measures are in place to prevent AI bias? Global Nature Watch Horizon produces answers from peer-reviewed data developed by Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch).. All methods are open and transparent, and available for anyone to examine. Every number, graph and map on GNW Horizon comes directly from our research data, not from general information on the internet. The AI agents are used to select the relevant datasets and run the appropriate pre-defined analysis, not to predict the data — removing risk of bias.
Will there be an API or integrations with other platforms like ArcGIS or Earth Engine? The current version of Global Nature Watch GNW Horizon is focused on direct user interaction and does not include external integrations or developer access. Broader interoperability may be revisited as the platform evolves.
Will Global Nature Watch Horizon be updated regularly? GNW Horizon is experimental and designed to evolve over time. As new AI models become available, we evaluate them internally to assess potential improvements in accuracy, speed and efficiency — allowing us to refine the assistant as technologies advance. On the data side, the assistant interfaces with APIs from across Land & Carbon Lab and Global Nature Watch (formerly Global Forest Watch). This enables it to access newly released datasets with minimal engineering lift, ensuring users benefit from the latest monitoring capabilities as they become available.
How can users with low bandwidth work with Global Nature Watch Horizon? While the AI experience requires a stable internet connection, GNW Horizon has been designed with accessibility in mind. Users on low bandwidth can still view data layers and explore visual insights even without engaging the AI assistant — providing a lighter version of the experience. Ensuring greater access in low-bandwidth contexts is a priority for the team, and we’re actively exploring ways to further optimize the platform for use in these environments.
How does Global Nature Watch Horizon handle sensitive data such as Indigenous territories? The data on Indigenous Peoples and local community lands and territories that are available on GNW Horizon are sourced from [LandMark](https://landmarkmap.org/map): The Global Platform of Indigenous and Local Community lands. The data on LandMark is voluntarily contributed by partner organizations under the terms of a data sharing agreement and/or are otherwise publicly available with licensing terms. GNW Horizon does not independently collect or alter this data. In addition, any sensitive information provided by users will be handled in line with WRI’s Privacy Policy, aiming to protect and promote the responsible use of data shared through the platform.
Is Global Nature Watch Horizon available in multiple languages? Yes, users will be able to interact with GNW Horizon in multiple languages. While the user interface and on-screen instructions will initially be in English, the tool will support multilingual queries so users can ask questions in other languages and receive relevant responses. This functionality will be powered by Gemini, enabling broad language coverage.
I ran out of prompts, what can I do? If you run out of prompts for the day, you can still manually browse and view data on the map. Learn more [here](/resources/access-and-usage-limits).
Does Global Nature Watch Horizon have a broader strategy on AI? Global Nature Watch Horizon aligns with WRI’s broader approach to responsible AI. WRI views AI as a transformative technology with the potential to accelerate progress for people, nature and climate — if it is developed and applied thoughtfully. Given the scale and urgency of today’s environmental challenges, innovative tools are needed, and AI can play an important role when used responsibly. [*Learn more about WRI’s perspective on AI here.*](https://www.wri.org/insights/ai-promise-and-peril-for-planet) That responsibility means grounding AI applications in peer-reviewed data, transparency and clear safeguards. GNW Horizon reflects this approach by using AI to make complex, peer-reviewed science easier to access and apply for decision-making, while keeping people at the center of how the technology is designed and improved. The platform is continuously evaluated and refined, with attention to accuracy, user feedback and the environmental costs of operating AI systems.
How does Global Nature Watch Horizon relate to Global Nature Watch (formerly Global Forest Watch)? Global Nature Watch (formerly Global Forest Watch) is WRI's core initiative for monitoring the world's forests. For more than a decade, it has provided free, open and globally consistent satellite data used by millions of people to understand and monitor forest change, and it's now expanding coverage to a broader range of ecosystems, including grasslands, agricultural lands, trees outside of forests and more — leveraging advances in AI, satellite science and geospatial technologies to do so. GNW Horizon is Global Nature Watch's AI-driven platform, currently in preview, where we're exploring new ways to make land and nature data easier to access and use through a conversational interface. Responses from GNW Horizon are backed by data from Global Nature Watch and Land & Carbon Lab.\ Over time, we expect GNW Horizon to become more deeply integrated into the broader Global Nature Watch website and user experience. The Global Nature Watch user community and GNW Horizon users are vital partners in shaping what that integration looks like.\ To learn more about this transition, read [Global Forest Watch is Becoming Global Nature Watch](https://www.globalforestwatch.org/blog/data-and-tools/gfw-now-global-nature-watch/).
How can I reference the information Global Nature Watch Horizon provided me? If you're unsure how to cite a specific result, you can ask GNW Horizon directly (e.g., “How can I cite this?”), and it will do its best to provide a recommended citation based on the data used or insight provided.
How long are conversations saved for? There isn’t a time limit for conversation storage. However, given GNW Horizon’s experimental nature, users should not expect conversations to be stored for longer than a year.
Can I access myGFW saved areas in Global Nature Watch Horizon? Areas created and saved in other WRI applications are not currently available in GNW Horizon but may be at a later stage.
Can I share my conversations and/or results with others? While entire conversations cannot be shared, each prompt response can be shared by clicking the “copy” icon at the bottom each response in your conversation.
[^1]: AI agent framework that enables Large LLMs to use programming (executable Python code) as a tool to solve problems, rather than relying solely on text or predefined JSON tools # Global Nature Watch Horizon Privacy Notice This Global Nature Watch Horizon Privacy Notice (“Privacy Notice”) describes how World Resources Institute and its affiliates (collectively, “WRI,” “we,” “us,” or “our”) collect, use, share, and protect personal information in connection with Global Nature Watch Horizon on our website and where ever this Privacy Notice is posted. This Privacy Notice tells you about your rights and choices with respect to your personal information, and how you can reach us to get answers to your privacy-related questions. If you need assistance viewing or understanding this Privacy Notice, please contact us using the information in the Contact Us section below. For general privacy terms applicable to all of our services, including Global Nature Watch Horizon, please see [WRI’s general Privacy Policy](https://www.wri.org/about/privacy-policy). For additional terms applicable to Global Nature Watch Horizon and our other services, please see the [Global Nature Watch Horizon Terms of Use](https://help.globalnaturewatch.org/global-nature-watch-ai-terms-of-use), [WRI General Terms of Use](https://www.wri.org/about/legal/general-terms-use), and [Terms of Service – WRI Data Platforms](https://www.wri.org/about/wri-data-platforms-tos?ap3c=IGXmB2CWDeDPgqQCAGXmB2DBZfpGJhG2seEPmLYmATPclrwBvA). **You can jump to particular topics by using the menu on the right.** ## Information We Collect We collect information about you in a variety of ways depending on how you interact with us and our website and services, including: * Directly from you when you provide it to us, such as when you register for an account, sign up to receive communications from us, or contact us by phone, email, or otherwise. * Automatically through the use of cookies, server logs, and other similar technologies when you interact with our Global Nature Watch Horizon websites and emails. * From other sources, including, for example, our affiliates, partners, service providers, online social media networks, and other third parties, or from publicly available sources. Additionally, if you submit a job or volunteer application on our website, or become a volunteer, we may conduct a background check or use the information you submit to process your job or volunteer application. The following provides examples of the type of information that we collect in a variety of contexts and how we use that information. | **Context** | **Types of Personal Information** |

Primary Purpose
and Lawful Basis for Collection

| | --------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **Account Registration** | When you create an account with us, we collect your name, email, organization, job sector, role, job title, company, country, language, and how you will use the Global Nature Watch Horizon tool, etc. We also collect information relating to the actions that you perform while logged into your account and any personalization selections you make. | We use this information to operate our website, such as saving your preferences, and contact information to better provide services, as well as assist you and carry out our obligations, and do so with your consent. | |

AI Chat Data

(User Prompt/Query/Input & AI Response/Output Data)

|

We collect user prompts/queries/outputs that are sent to Global Nature Watch Horizon in the chat interface.

We collect AI response/output data that is generated in response to—and in connection with—users’ AI prompt/input data.

| We use this information to operate our Global Nature Watch Horizon website and better provide services. We also use it to understand how you interact with our websites to improve our website and understand your preferences. Finally, we use this information to help detect and prevent fraud or violations of our [Global Nature Watch Horizon Terms of Use](https://help.globalnaturewatch.org/global-nature-watch-ai-terms-of-use). | | **Vendors and Partners Information** | We collect the name and contact information of employees and contractors of our vendors and partners and those with whom we may interact on their behalf. | We use this information to contact these third parties to communicate with them concerning the standard provision of projects and services, in the course of performing our contracts. | | **Use of Our Website** | We use technology to monitor how you interact with our websites. This may include which links you click on, information that you type into our online forms, how you interact with the webpages, and other analytics. Some of these technologies may use “cookies.” Cookies are small pieces of information that a website sends to a computer’s hard drive while a website is viewed. Other types of data we track include your IP address, the website that referred you to our website, and data about the device you use to visit our website. |

We have a legitimate interest in making our website operate efficiently. We also use it to understand how you interact with our websites to improve our website and understand your preferences. Finally, we use this information to help detect and prevent fraud. Where required by law, we base the use of cookies or other technologies upon consent. You can make choices about cookies at our cookie preference center \[coming soon].

| | **Technology on Our Website for Targeted Advertising** | We may allow third parties to place technology on our websites (e.g., a cookie or a pixel) that allows them to track you. The third party might also collect data over time and across other websites. They use this data to serve advertisements tailored to your interests, which may include advertisements about our products or services. | We permit cookies on our website to participate in behavior-based advertising, which allows us to tailor our advertisements to better suit users’ interests. Where required by law, we base the use of third-party tracking technologies on consent. You can make choices about cookies at our cookie preference center \[coming soon]. | | **Feedback/Support** | If you provide us feedback or contact us for support, we may collect your name, zip code, and email address, as well as any other content that you send to us, in order to reply. | We use this information to receive, and act upon, your feedback or issues with your consent. | | **Mailing List** | When you sign up for one of our mailing lists (e.g., newsletters, policy action alerts, etc.), we collect your email address or postal address. | We share information about our mission and services with individuals that consent to receive such information. | | **Geolocation Data** | When you access the Global Nature Watch Horizon on our website, we collect your IP address. | We use this information to operate our Global Nature Watch Horizon website and better provide services. We also use it to understand how you interact with our websites to improve our website and understand your preferences. Finally, we use this information to help detect and prevent fraud or violations of our [Global Nature Watch Horizon Terms of Use](https://help.globalnaturewatch.org/global-nature-watch-ai-terms-of-use). | ## How We Use Information. In addition to the purposes and uses described above, we use information in the following ways to: * Identify you when you visit our Global Nature Watch Horizon websites. * Provide Global Nature Watch Horizon services. * Improve and customize our service offerings. * Conduct analytics. * Communicate with you, such as to respond to and follow-up on your requests, inquiries, issues, or feedback. * Send marketing and promotional materials, including information relating to our services. * Detect and protect against malicious, deceptive, fraudulent, or illegal activity, including violation of our policies and terms and conditions, security incidents, and harm to the rights, property, or safety of our organization and our users, employees, or others. * Debug, identify, and repair errors that impair existing intended functionality of our website and services. * Comply with our legal or regulatory obligations, to establish or exercise our rights, and to defend against a legal claim. * address internal administrative components, as well as manage our relationships. * address such other purposes as you may consent (from time to time). Although the sections above describe our primary purpose in collecting your information, in many situations we have more than one purpose. ## How We Share Information. In addition to the specific situations discussed elsewhere in this Privacy Notice, we may disclose personal information in the following situations: * **Affiliates and Acquisitions.** We may share information with our affiliates. If another organization acquires, or plans to acquire, our organization or our assets, we will also share information with that organization, including at the negotiation stage. * **Other Disclosures without Your Consent.** We may disclose information in response to subpoenas, warrants, or court orders, or in connection with any legal process, or to comply with relevant laws. We may also share your information in order to establish or exercise our rights, to defend against a legal claim, to investigate, prevent, or take action regarding possible illegal activities, suspected fraud, safety of person or property, or a violation of our policies, or to comply with your request for the provision of services by a third-party intermediary. * **Service Providers.** We share your information with service providers. Among other things service providers may help us to administer our website, conduct surveys, provide technical support, and find new prospective supporters. * **Other Disclosures with Your Consent.** We may disclose your information to other third parties when we have your consent or direction to do so. ## Your Choices Some jurisdictions give you the following rights and choices regarding your personal information: * **Access To Your Personal Information.** You may request access to your personal information or a confirmation that we have information about you. In certain limited circumstances, you may also request to receive access to your data in a portable, machine-readable format or obtain a list of third parties to whom we have disclosed Personal Information. * **Changes To Your Personal Information.** We rely on you to update and correct your personal information. Most of our websites allow you to modify or delete your account profile. If our website does not permit you to update or correct certain information, you can contact us at the address described below in order to request that your information by modified. You may ask us to correct information that is inaccurate or incomplete. Note that we may keep historical information in our backup files as permitted by law. * **Deletion Of Your Personal Information.** You may request that we delete your personal information. If required by law, we will grant a request to delete information, but you should note that in many situations we must keep your personal information to comply with our legal obligations, resolve disputes, enforce our agreements, or for other purposes permitted under applicable law. * **Opt-out of Targeted Advertising.** You may opt-out of online, tracking-based targeted advertising (e.g., cookies) by clicking the cookie preference center at the bottom of the webpage \[coming soon]. * **Objection to or Restriction of Certain Processing.** In certain circumstances, you may object to the processing of your personal information, or request that we restrict processing of your personal information, by following the instructions described below. * **Online Tracking.** We do not currently recognize the “Do Not Track” signal. * **Marketing Emails.** You may choose to provide us with your email address for the purpose of allowing us to send free newsletters and other marketing materials to you. You can stop receiving promotional emails by following the unsubscribe instructions in emails that you receive. If you decide not to receive promotional emails, we may still send you service-related communications. * **Revocation Of Consent.** Where we process your personal information based upon consent, you may revoke consent. Please note, if you revoke your consent for the processing of personal information then we may no longer be able to provide you services. Please note, not all of the rights described above are absolute, and they do not apply in all circumstances. In some cases, we may limit or deny your request because the law permits or requires us to do so, or if we are unable to adequately verify your identity. We will not discriminate against individuals who exercise their privacy rights under applicable law. ## Submitting Requests You may exercise the rights described above by contacting us as indicated in the “Contact Information” section below. If you disagree with our denial of a request, you may appeal our decision by contacting us with the subject line “Appeal.” Note that, as required by law, we will require you to prove your identity. As permitted by law, we may verify your identity by contacting you via phone call, email, or other sufficient verification method and request additional information about you. If an agent is submitting a request on your behalf, we may ask you to provide a signed authorization in addition to identity verification. ## Children Our websites and online services are not intended for children under the age of 13 and we do not knowingly collect personal information from children under age 13 without parental consent. Children under the age of 13 should not provide their personal information to us. ## How We Protect and Retain Information No method of transmission over the internet, or method of electronic storage, is fully secure. While we use reasonable efforts to protect your personal information from unauthorized access, use, or disclosure, we cannot guarantee the security of your personal information. If we are required by law to inform you of a breach to your personal information we may notify you electronically, in writing, or by telephone, if required to do so by law. Some portions of our website permit you to create an account. When you do, you will be prompted to create a password. You are responsible for maintaining the confidentiality of your password, and you are responsible for any access to or use of your account by someone else that has obtained your password, whether such access or use has been authorized by you. You should notify us of any unauthorized use of your password or account. We retain your personal information for only as long as necessary to fulfil the purposes outlined in this Privacy Notice, including for the purposes of satisfying any legal, accounting, or reporting requirements, unless a longer retention period is required or permitted by law. To determine the appropriate retention period for personal information, we consider the amount, nature, and sensitivity of the information, the potential risk of harm from unauthorized use or disclosure of the information, the purposes for which we obtained the information, and whether we can achieve those purposes through other means, as well as applicable legal requirements. ## Transmission Of Information To Other Countries As a multi-national nonprofit, we transmit information between and among our affiliates. As a result, your information may be processed in a foreign country where privacy laws may be less stringent than the laws in your country. Nonetheless, where possible we take steps to treat personal information using the same privacy principles that apply pursuant to the law of the country in which we first received your information. When we transfer your personal information to recipients in countries which do not provide the same level of data protection as the country in which you provided your personal information, we will protect and provide adequate protection for the transfer of your personal information to recipients in those countries by entering into data transfer agreements based either on the European Commission standards clauses when applicable (as they may be revised or replaced by the EU Commission or supplemented by additional measures when required) with such data recipients or any other valid transfer mechanisms that may be available now and in the future. If you would like more information on our attempts to apply the privacy principles applicable in one jurisdiction to data when it goes to another jurisdiction, you can contact us using the contact information below. ## Third-Party Applications/Websites For your convenience, we may provide links to websites and other third-party content or services that we do not own or operate. The websites and third-party content to which we link may have separate privacy notices or policies. Please note, we have no control over the privacy practices of websites or services that we do not own. We encourage you to review the privacy notices or policies of any third-party website or application for details about such third party’s privacy practices. ## Third-Party Large Language Model Providers For your convenience, we may route user-provided prompt data and AI response data through third-party Large Language Model (“LLM”) providers. Such LLM providers may have separate privacy notices or policies. Please note, we have no control over the privacy practices of websites or services that we do not own. We encourage you to review the privacy notices or policies of any third-party website or application—and other terms and policies referenced therein—for details about such third party’s privacy practices.
Third-Party LLM ProviderThird-Party LLM Provider Privacy NoticeThird-Party LLM Provider Terms of Service
Google (Gemini)https://policies.google.com/privacyhttps://ai.google.dev/gemini-api/terms
Anthropic (Claude)https://www.anthropic.com/legal/privacyhttps://www.anthropic.com/legal/commercial-terms
## Changes To This Privacy Notice We may change this Privacy Notice and practices over time. To the extent that this Privacy Notice changes in a material way, we will take reasonable efforts to notify you of those changes. By using the Global Nature Watch Horizon tool and accessing the corresponding website, you acknowledge the privacy practices described in this Privacy Notice. If you do not want us to process your personal information as described in this Privacy Notice, do not use Global Nature Watch Horizon tool or access the corresponding website. This Privacy Notice includes an “effective” and “last updated” date. The effective date refers to the date that the current version took effect. The last updated date refers to the date that the current version was last substantively modified. ## Contact Information If you have any questions, comments, or complaints concerning our privacy practices, or if you need to access this Privacy Notice in an alternative format due to having a disability, please contact us at the appropriate address below. We will attempt to respond to your requests and to provide you with additional privacy-related information. **World Resources Institute**\ 10 G Street NE, Suite 800\ Washington, DC 20002\ [privacy@wri.or](mailto:privacy@wri.org)g If you are not satisfied with our response, you may have a right to lodge a complaint with your local supervisory authority. **Effective Date:** September 17, 2025 **Last Updated:** September 17, 2025 # Global Nature Watch Horizon Terms of Use Last Updated: September 17, 2025 **PLEASE READ THESE AI TERMS CAREFULLY. THESE AI TERMS SUPPLEMENT OUR** [**GENERAL TERMS OF USE**](https://www.wri.org/about/legal/general-terms-use)**, WHICH CONTAINS A** [**BINDING ARBITRATION AGREEMENT**](https://www.wri.org/about/legal/general-terms-use#arbitration)**, LIMITS YOUR RIGHTS TO BRING AN ACTION IN COURT, BRING A CLASS ACTION, AND HAVE DISPUTES DECIDED BY A JUDGE OR JURY, AS WELL AS PROVISIONS THAT LIMIT OUR LIABILITY TO YOU.** Where there is a conflict between these AI Terms and the [General Terms of Use](https://www.wri.org/about/legal/general-terms-use), these AI Terms will govern. **BY ACCESSING OR USING THE SERVICES YOU UNDERSTAND AND AGREE TO BE BOUND BY THESE AI TERMS AND THE** [**GENERAL TERMS OF USE** ](https://www.wri.org/about/legal/general-terms-use) **AND RECOGNIZE THAT YOU MAY BE WAIVING CERTAIN RIGHTS.** IF YOU DO NOT WANT TO AGREE TO THESE AI TERMS, OR THE GENERAL TERMS OF USE YOU MUST NOT ACCESS OR USE THE SERVICES. This is an experimental product. It may contain bugs or errors, and outputs (including LLM-generated insights) may be incomplete or inaccurate. Please don’t rely on it for critical decisions without independent verification. The following Global Nature Watch Horizon Terms of Use (the “**AI Terms**”), govern the Global Nature Watch Horizon tool, which is an online platform that utilizes artificial intelligence technology to process and analyze forest monitoring data based on user queries in a chat style interface to deliver requested outputs (the “**AI Tool**”), the creation and use of WRI user account to facilitate use of the AI Tool, and other services where these AI Terms are posted (collectively, the “**Services**”) that are owned and operated by World Resources Institute (“**WRI,**” “**we**,” “**us**,” or “**our**”). The Services help users gather information that is essential to making informed decisions about how to manage and protect forests, as well as holding governments and companies accountable for their impacts on forests. We’re excited for you to use the Service and help shape the future of geospatial monitoring. If you use or access our other platforms or services, additional terms may apply such as our [Terms of Service – WRI Data Platforms](https://www.wri.org/about/wri-data-platforms-tos?ap3c=IGXmB2CWDeDPgqQCAGXmB2DBZfpGJhG2seEPmLYmATPclrwBvA). #### 1. Use of the Services The Services may allow you to access certain features of the AI Tool or create an Account (defined below) with us. If you are using the Services, you hereby certify that you are (i) over the age of eighteen (18), and are (ii) if you are creating an Account, you are physically located or are a resident of the jurisdiction you select as your “country.” #### 2. Changes to the Services We may make improvements and/or changes to Services, add new features, or terminate the Services at any time without notice. We also: (i) reserve the right to change the Services at any time without any notice or liability to you or any other person; (ii) do not warrant that information on the Services is accurate, complete, reliable, current or error-free; and (iii) reserve the right to modify, cancel, or terminate Services for any other reason in our sole discretion. Some jurisdictions may not allow the exclusions and disclaimers of certain implied warranties, so some of the provisions of this section may not apply to you. Unless otherwise indicated, Services are intended for end use in the United States and are not labeled or intended for international distribution. #### 3. Your Authorized Use of the Services A. While using the Services, you are required to comply with all applicable statutes, orders, regulations, rules and other laws. You may not use the Services for any fraudulent or unlawful purpose, and you may not take any action to interfere with the Services or any other party’s use of the Services. In addition, we expect users of the Services to respect the rights and dignity of others. For example, you may not do any of the following: i. Input, upload, share, transmit, distribute, facilitate distribution of or otherwise make available to or through the Services any content that is unlawful, harmful, harassing, defamatory, threatening, intimidating, fraudulent, tortious, vulgar, obscene, hateful, pornographic, spam, discriminatory, violative of privacy or publicity rights, infringing of intellectual property or other proprietary rights, or otherwise objectionable in our sole discretion, including unauthorized or unsolicited advertising; ii. Input in the AI Tool any personal or sensitive personal information about yourself or third parties, such as name, email address, social security, credit card or bank account numbers, health or medical information, or other information that could be reasonably identified to an individual; iii. Reproduce, duplicate, copy, publicly display, frame, mirror, sell, resell or otherwise exploit for any commercial purposes, any portion of, use of, or access to the Services; iv. Impersonate any person or entity or falsely state or otherwise misrepresent your affiliation with any person or entity in connection with the Services, or express or imply that we endorse any statement you make; v. Violate, or attempt to violate, the security of the Services; vi. Disseminate on the Services any viruses, worms, spyware, adware, or other malicious computer code, file or program that is harmful or invasive or is intended to damage or hijack the operation of, or monitor the use of, any hardware, software or equipment; vii. Reverse engineer, disassemble, decompile, or otherwise attempt to derive the method of operation of the Services; viii. Build a competitive product or service using the Services, build a product or service using similar ideas, features, functions, or graphics as the Services or determine whether the Services are within the scope of any patent; ix. Interfere in any manner with the operation or hosting of the Services or monitor the availability, performance, or functionality of the Services; x. Deep link to the Services for any purpose or frame the Services, place pop-up windows over any content, or otherwise affect the display of the Services; xi. Use any data mining, bots, spiders, automated tools or similar data gathering and extraction methods, directly or indirectly, on the Services or to collect any information from the Services or any other user of the Services; or xii. Assist or permit any third-parties in violating these AI Terms or other applicable laws or rules governing the use of the Services. B. *Linking*: You are granted a limited, non-exclusive right to create text hyperlinks to the Services for informational purposes, provided such links do not portray us in a false, misleading, derogatory or otherwise defamatory manner and provided that the linking Site does not contain any material that is unlawful, harmful, harassing, defamatory, threatening, intimidating, fraudulent, tortious, vulgar, obscene, hateful, pornographic, spam, discriminatory, violative of privacy or publicity rights, infringing of intellectual property or other proprietary rights, or otherwise objectionable in our sole discretion, including unauthorized or unsolicited advertising. Additionally, notwithstanding the foregoing, and subject to compliance with any instructions posted in the robots.txt file located in the Services’ root directory, we grant to the operators of public search engines permission to use spiders to copy Content from the Site for the sole purpose of (and solely to the extent necessary for) creating publicly available, searchable indices of such Content, but not caches or archives of such Content. We may revoke these permissions at any time. #### 4. Accounts **A.** The Services allow you to register and create an online account to access certain features of the AI Tool (an “**Account**”). Our practices governing any resulting collection, use, disclosure and management of your personal information are disclosed in our [Privacy Policy](https://www.wri.org/about/privacy-policy) and [Global Nature Watch Horizon Privacy Notice](https://help.globalnaturewatch.org/privacy-and-terms/global-nature-watch-ai-privacy-policy). If you are under the age of eighteen (18), then you are not permitted to create an Account. B. In general, you are not obligated to register for an Account in order to access the Services. However, certain sections and features of some of the Services are available only to users who have registered for an Account. We may reject, and you may not use, a user ID (or e-mail address) for any reason at our sole discretion. For example, we may reject a user ID (or e-mail address) that is already being used by someone else; that may be construed as impersonating another person; that belongs to another person; that violates the intellectual property or other rights of any person; or that is offensive. You may only have one active Account at any given time and you may not allow other people to use your Account to access the Services or participate in Services. WRI reserves the right to reject any account registration request, for any reason or no reason at all, in its sole discretion. C. If you are a Registered User, we expect you to accurately maintain and update any information about yourself that you have provided to us. D. You agree that you are responsible for all activities under your Account, and for maintaining the confidentiality of your password and restricting access to your computer so others may not access the Services in violation of these AI Terms. In addition, you agree to sign out from your Account at the end of each session if you are using a device that is shared with other people. E. You agree to notify us of any unauthorized use of your username, password or any other breach of security that you become aware of involving or relating to the Services by contacting us as soon as possible. We reserve the right to take any and all actions we deem necessary or reasonable to maintain the security of our Services and your Account, including without limitation, terminating your Account, changing your password or requesting information to authorize transactions on your Account. WE EXPLICITLY DISCLAIM LIABILITY FOR ANY AND ALL LOSSES AND DAMAGES ARISING FROM YOUR FAILURE TO COMPLY WITH THIS SECTION. F. We will not be liable for any loss or damage (of any kind and under any legal theory) to you or any third party arising from your inability or failure for any reason to comply with any of the foregoing obligations. #### 5. Interactive Chats and Chatbots A. Some of our Services may have chat, live support, instant messaging, or similar functionality to serve you better (“**Chats**”). If you are signed in to an Account while using a Chat, the Chat may link the Account information with you or the Chat interaction. You may not impersonate or attempt to gain information regarding another individual via a Chat. Information provided via a Chat may be inaccurate, and Chats may not always be available or error-free. Chats may be provided by third parties, and you may be entering into a contractual agreement with those third parties when you use the Chat. B. Chats may use interactive, automated computer programs and similar technologies to provide customer service via the Chat (“**Chatbots**”). Chatbots often work by using “natural language processing” technology to understand your questions and inputs and respond to them with relevant information or follow-up inquiries. Our Chatbots typically identify that you are interacting with a computer program and not a human, by setting up the Chat in such a way that it's apparent that a Chatbot is used. Chatbots use technology may respond to your inputs without human intervention. Although Chatbots are automated, your inputs and responses may be viewed and accessed by our real people, possibly in real time. Information collected via Chats is subject to our [Privacy Policy](https://www.wri.org/about/privacy-policy) and [Global Nature Watch Horizon Privacy Notice](https://help.globalnaturewatch.org/privacy-and-terms/global-nature-watch-ai-privacy-policy). Be aware that communications may be monitored for quality assurance and other purposes. All information you provide to us for purposes of support is considered User Content. #### 6. Availability of Services and Content The World Research Institute may immediately suspend or terminate the availability of the Service and Content (and any elements and features of them), in whole or in part, for any reason, in the World Research Institute's sole discretion, and without advance notice or liability. Without limiting the foregoing, if you take any action that the World Research Institute reasonably believes violates the foregoing Service and Content use restrictions (including by disclosing the names of any individuals associated with the Service or Content), then we may take any legally available action that we deem appropriate, in our sole discretion. However, we are not obligated to take any action not required by applicable law. #### 7. Consent to Communication A. When you use the Services or send communications to us through the Services, you are communicating with us electronically. You consent to receive electronically any communications related to your use of the Services. We may communicate with you by email or by posting notices on the Site. You agree that all agreements, notices, disclosures and other communications that are provided to you electronically satisfy any legal requirement that such communications be in writing. All notices from us intended for receipt by you shall be deemed delivered and effective when sent to the email address you provide to us. Please note that by submitting User Content, creating an Account, or otherwise providing us with your contact information, you are agreeing that we or our agents may contact you in a manner consistent with our [Privacy Policy](https://www.wri.org/about/privacy-policy) and [Global Nature Watch Horizon Privacy Notice](https://help.globalnaturewatch.org/privacy-and-terms/global-nature-watch-ai-privacy-policy). B. Transmitting information electronically has the inherent risk of a third-party’s unauthorized access. By using the Services and providing us with information, you acknowledge that you are aware of and accept this risk. #### 8. Content Submitted By You A. You are prohibited from entering any personal information or sensitive personal information as an input into the AI Tool. B. You are responsible for any information, text, materials or content that you input into the Services, or otherwise transmit to us through our Services (“**User Content**”). You agree, represent and warrant that any User Content you transmit through our Services is truthful, accurate, not misleading and offered in good faith, and that you have the right to transmit such User Content. You shall not upload or otherwise make available on or through the Services any User Content that is protected by copyright, trademark or other proprietary right of any third party without the express written permission of the owner of such right(s). You shall be solely liable for any damages resulting from any infringement of copyright, trademark, proprietary rights, or any other harm resulting from such User Content. Additionally, uploading or providing information to use through the Services does not create a doctor-patient relationship. C. By submitting User Content to us, you grant to us (or warrant that the owner of such information and material has expressly granted to us) a royalty-free, perpetual, sublicensable, irrevocable, and unrestricted right and license: (a) to use, reproduce, display, modify, adapt, publish, perform, translate, transmit and distribute or otherwise make available to others such User Content (in whole or in part and for any purpose) worldwide; (b) to incorporate such User Content in other works in any form, media, product, service or technology now known or hereafter developed for any purpose, including sale, manufacture or advertising (and to exercise all intellectual property rights associated with such products or other works); and (c) to use your name, screen name, location, photograph, avatar, image, voice, likeness and biographical information provided in connection with the User Content in any and all media and for advertising or promotional purposes. Additionally, you irrevocably waive any “moral rights” or other rights with respect to attribution of authorship or integrity of your User Content that you may have under any applicable law or legal theory. Notwithstanding the foregoing, please note that any personal information you submit to us as part of the account creation process or through your use of the Services will be handled in accordance with our [Privacy Policy](https://www.wri.org/about/privacy-policy) and [Global Nature Watch Horizon Privacy Notice](https://help.globalnaturewatch.org/privacy-and-terms/global-nature-watch-ai-privacy-policy). D. PLEASE DO NOT POST OR SEND US ANY USER CONTENT, IDEAS, SUGGESTIONS, OR OTHER USER CONTENT THAT YOU WISH TO KEEP PRIVATE OR PROPRIETARY OR FOR WHICH YOU EXPECT TO RECEIVE COMPENSATION. By sending any ideas, concepts, know-how, proposals, techniques, suggestions or other User Content to us, you agree that: (i) we are free to use such User Content for any purpose, (ii) such User Content will be deemed not to be confidential or proprietary (iii) we may have something similar already under consideration or in development, and (iv) you are not entitled to any compensation or reimbursement of any kind from us under any circumstances unless otherwise expressly agreed in writing by us. Be aware that we have no obligation to keep User Content confidential unless explicitly stated. #### 9. Notices, Questions and Customer Service A. You agree that: (1) we may give you notices of new, revised or changed terms and other important matters by prominently posting notice on the home page of the Service, or in another reasonable manner; and (2) we may contact you by mail or email sent to the addresses provided by you. You agree to promptly notify us if you change your email or mailing address. B. If you have a question regarding using the Service, you may contact WRI by sending an email to . You acknowledge that the provision of customer support is at WRI 's sole discretion and that we have no obligation to provide you with customer support of any kind. C. All legal notices to us must be sent to our contact information available here: Address:\ World Resources Institute\ Attn: DMCA Designated Agent/LEGAL\ 10 G Street, NW Suite 800\ Washington, DC 20002\ mail: #### 10. Updates to Terms We reserve the right to revise and update these AI Terms at WRI’s sole discretion. All changes are effective immediately when we post the revisions. Your continued use of the Website following the posting of revised Ai Terms means that you accept and agree to the changes. You are responsible for periodically reviewing these AI Terms. #### 11. World Resources Institute’s Consent or Approval As to any provision in these AI Terms, or applicable additional terms, that grants WRI a right of consent or approval, or permits WRI to exercise a right in its "sole discretion," WRI may exercise that right in its sole and absolute discretion. No WRI consent or approval may be deemed to have been granted by WRI without being in writing and signed by an officer of WRI. #### 12. Operation of Service; Availability of Products and Services; International Issues WRI controls and operates the Service from its U.S.-based offices in the U.S.A., and WRI makes no representation that the Service is appropriate or available for use in every jurisdiction. We reserve the right to limit the availability of the Service and/or the provision of any content, program, product, service, or other feature described or available on the Service to any person, entity, geographic area, or jurisdiction, at any time and in our sole discretion, and to limit the volume of inputs or outputs provided by the AI Tool. #### 13. Investigations; Cooperation With Law Enforcement; Termination; Survival A. You agree that WRI shall, as permitted by applicable law, have the right, without limitation and without any obligation, to: i. investigate any suspected breaches of its Service security or its information technology or other systems or networks, ii. investigate any suspected breaches of these AI Terms and any applicable additional terms or any potential harm to our users or third parties, iii. use any information obtained by WRI in accordance with its Privacy Policy in connection with reviewing law enforcement databases or complying with applicable laws and use and/or disclose any information obtained by WRI to comply with law enforcement requests or legal requirements in accordance with our [Privacy Policy](https://www.wri.org/about/privacy-policy) and [Global Nature Watch AI Privacy Notice](https://help.globalnaturewatch.org/privacy-and-terms/global-nature-watch-ai-privacy-policy), iv. involve and cooperate with law enforcement authorities in connection with any of the foregoing matters, v. prosecute violators of these AI Terms and any applicable additional terms, and vi. discontinue the Service, in whole or in part, or, except as may be expressly set forth in any applicable additional terms, suspend or terminate your access to it, in whole or in part, including any user Accounts or registrations, at any time, without notice, for any reason and without any obligation to you or any third party. B. Any suspension or termination will not affect your obligations to WRI under these AI Terms or any applicable additional terms. Upon suspension or termination of your access to the Service, or upon notice from WRI, all rights granted to you under these AI Terms or any additional terms will cease immediately, and you agree that you will immediately discontinue use of the Service. The provisions of these AI Terms, the [General Terms of Use](https://www.wri.org/about/legal/general-terms-use), and any applicable additional terms, which by their nature should survive your suspension or termination will survive, including the rights and licenses you grant to WRI in these AI Terms, as well as the indemnities, releases, disclaimers, and limitations on liability and the provisions regarding jurisdiction, choice of law, no class action, jury waiver, and mandatory arbitration. #### 14. Miscellaneous A. If any provision of these AI Terms is invalid, illegal, or unenforceable in any jurisdiction, such invalidity, illegality, or unenforceability will not affect any other term or provision of these AI Terms or invalidate or render unenforceable such term or provision in any other jurisdiction. B. No waiver by WRI of any of the provisions hereof will be effective unless explicitly set forth in writing and signed by WRI so waiving. Except as otherwise set forth in these AI Terms, (i) no failure to exercise, or delay in exercising or enforcing, any rights, remedy, power, or privilege arising from these AI Terms will operate or be construed as a waiver thereof, and (ii) no single or partial exercise of any right, remedy, power, or privilege hereunder will preclude any other or further exercise thereof or the exercise of any other right, remedy, power, or privilege. C. The AI Terms are to be construed in accordance with and governed by the laws of the State of Delaware without giving effect to any choice of law rule that would cause the application of the laws of any jurisdiction other than the laws of the State of Delaware to the rights and duties of you and us. Any dispute, claim, or controversy between you and WRI regarding, arising out of or relating to any aspect of these AI Terms, whether based in contract, statute, regulation, ordinance, tort (including, but not limited to, fraud, misrepresentation, fraudulent inducement, or negligence), including the validity, enforceability or scope of these Terms shall be brought only in state or federal court located in Washington, DC, and such, you hereby irrevocably submit to the exclusive jurisdiction of these courts and waive the defense of inconvenient forum except where prohibited by law. D. These AI Terms and the General Terms of Use, together with any additional terms are the entire agreement between you and us, regarding the Services. E. In the event of any discrepancy or inconsistency between the English version of these AI Terms and any terms provided in any other language(s), the English version shall prevail. #### 15. Contact Us Please see our contact information here: . >