> For the complete documentation index, see [llms.txt](https://docs.basin.global/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.basin.global/appendix/land-cover-classification-and-ecosystem-typologies/ecosystem-classification-frameworks/esri-land-cover.md). # ESRI Land Cover The [ESRI Land Cover project](https://livingatlas.arcgis.com/landcover/) offers an annual high-resolution map of Earth's land surface from 2017-2022, created using advanced AI land classification models. These models utilize a vast dataset of human-labeled image pixels and were applied to over 2 million Earth observations from Sentinel-2's six spectral bands. The maps, which feature 9 classes like vegetation, water, and built areas, aim to assist decision-makers in various industries and governments by providing valuable insights into land use, natural capital, and resource management. Available through the ArcGIS Living Atlas, these maps enable better understanding and informed decision-making regarding geographical changes over time. ## ESRI Land Cover Types * Trees * Water * Flooded Vegetation * Bare Ground * Crops * Rangeland * Snow/Ice * Built Area --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.basin.global/appendix/land-cover-classification-and-ecosystem-typologies/ecosystem-classification-frameworks/esri-land-cover.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.