- |---| | [### MTBS Burned Area Boundaries ![](https://developers.google.com/earth-engine/datasets/images/USFS/USFS_GTAC_MTBS_burned_area_boundaries_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USFS_GTAC_MTBS_burned_area_boundaries_v1) | | The Monitoring Trends in Burn Severity (MTBS) burned area boundaries dataset contains the extent polygons of the burned areas of all currently completed MTBS fires for the continental United States, Alaska, Hawaii, and Puerto Rico. Below NBR stands for "Normalized Burn Ratio", while dNBR stands ... | | [eros](https://developers.google.com/earth-engine/datasets/tags/eros) [fire](https://developers.google.com/earth-engine/datasets/tags/fire) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac) [mtbs](https://developers.google.com/earth-engine/datasets/tags/mtbs) [table](https://developers.google.com/earth-engine/datasets/tags/table) [usda](https://developers.google.com/earth-engine/datasets/tags/usda) | - |---| | [### Monitoring Trends in Burn Severity (MTBS) Burn Severity Images ![](https://developers.google.com/earth-engine/datasets/images/USFS/USFS_GTAC_MTBS_annual_burn_severity_mosaics_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USFS_GTAC_MTBS_annual_burn_severity_mosaics_v1) | | The burn severity mosaics consist of thematic raster images of MTBS burn severity classes for all currently completed MTBS fires for the continental United States, Alaska, Hawaii and Puerto Rico. Mosaicked burn severity images are compiled annually for each year by US State and the ... | | [eros](https://developers.google.com/earth-engine/datasets/tags/eros) [fire](https://developers.google.com/earth-engine/datasets/tags/fire) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) | - |---| | [### USFS Landscape Change Monitoring System v2025-11 (CONUS and OCONUS) ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_LCMS_Product_Version_2025-11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_LCMS_Product_Version_2025-11) | | This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year and covers the Conterminous United States (CONUS) as well as areas outside the CONUS (OCONUS) including Alaska (AK), Puerto ... | | [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [fsic-go](https://developers.google.com/earth-engine/datasets/tags/fsic-go) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac) [gtac-data-publish](https://developers.google.com/earth-engine/datasets/tags/gtac-data-publish) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) | - |---| | [### USFS Tree Canopy Cover v2025-6 (CONUS and OCONUS) ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_TCC_Product_Version_2025-6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_TCC_Product_Version_2025-6) | | The Tree Canopy Cover (TCC) data suite, produced by the United States Department of Agriculture, Forest Service (USFS), are annual remote sensing-based map outputs spanning from 1985-2025. These data support the National Land Cover Database (NLCD) project, which is managed by the US Geological Survey ... | | [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [fsic-go](https://developers.google.com/earth-engine/datasets/tags/fsic-go) [gtac](https://developers.google.com/earth-engine/datasets/tags/gtac) [gtac-data-publish](https://developers.google.com/earth-engine/datasets/tags/gtac-data-publish) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### USFS TreeMap 2023-1 ![](https://developers.google.com/earth-engine/datasets/images/gtac-data-publish/projects_gtac-data-publish_assets_TreeMap_Product_Version_2023-1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gtac-data-publish_assets_TreeMap_Product_Version_2023-1) | | TreeMap datasets provide detailed spatial information on forest characteristics across the entire forested extent of the Conterminous United States (CONUS) for the years 2016, 2020, 2022, and 2023. TreeMap 2014 is also available for CONUS but not included in this data archive. TreeMap 2024 is ... | | [aboveground](https://developers.google.com/earth-engine/datasets/tags/aboveground) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass) [carbon](https://developers.google.com/earth-engine/datasets/tags/carbon) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change) [conus](https://developers.google.com/earth-engine/datasets/tags/conus) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) |