USA National Insect & Disease Risk to Trees

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Overview This dataset shows North American land cover for 2005 at a spatial resolution of 250 meters, based on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery. It provides a harmonized view of the physical cover of Earth's surface across the continent, classified into nineteen Level II land cover classes defined using the Land Cover Classification System (LCCS) standard developed by the Food and Agriculture Organization (FAO) of the United Nations. The dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations: the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), the National Commission for the Knowledge and Use of Biodiversity (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation (CEC), an international organization created by the governments of Canada, Mexico, and the United States under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. Land Cover Classes The raster attribute table provides 19 thematic land cover classes: 1: Temperate or sub-polar needleleaf forest 2: Sub-polar taiga needleleaf forest 3: Tropical or sub-tropical broadleaf evergreen forest 4: Tropical or sub-tropical broadleaf deciduous forest 5: Temperate or sub-polar broadleaf deciduous forest 6: Mixed forest 7: Tropical or sub-tropical shrubland 8: Temperate or sub-polar shrubland 9: Tropical or sub-tropical grassland 10: Temperate or sub-polar grassland 11: Sub-polar or polar shrubland-lichen-moss 12: Sub-polar or polar grassland-lichen-moss 13: Sub-polar or polar barren-lichen-moss 14: Wetland 15: Cropland 16: Barren land 17: Urban and built-up 18: Water 19: Snow and ice Geographic Coverage This dataset covers Canada, Alaska, the conterminous United States, and Mexico. Data Sources and Licensing This dataset represents the baseline North American Land Cover product for 2005, later updated to produce the 2010 edition. This version (3.0) supersedes Edition 2.0, correcting labeling and classification errors identified after the initial release, and removes the water buffer along the coastline of North America to ensure consistent statistics for the water class. The dataset is produced by the Commission for Environmental Cooperation (CEC), derived from national land cover maps provided by Natural Resources Canada, the National Commission for the Knowledge and Use of Biodiversity, the National Institute of Statistics and Geography, the National Forestry Commission; and the United States Geological Survey. The compiled dataset is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: As needed Limitations of use: Intended for continental-scale reference. Vintage: 2005 Applications (Intended Use) Land cover review and continental- to national-scale mapping. Environmental monitoring and change detection over time. Spatial analysis and integration with other thematic layers in the North American Environmental Atlas. Supporting cross-border environmental cooperation and policy-making among North American nations. Files Download

- This data set, a collaboration between the Global Land Analysis & Discovery (GLAD) () lab at the University of Maryland (UMD), Google, USGS, and NASA, measures areas of tree cover loss across all global land (except - Antarctica and other Arctic islands) at approximately 30 × 30 meter resolution. The data were generated using multispectral satellite imagery from the Landsat 5 thematic mapper (TM), the Landsat 7 thematic mapper plus (ETM+), and the Landsat 8 Operational Land Imager (OLI) sensors. Over 1 million satellite images were processed and analyzed, including over 600,000 Landsat 7 images for the 2000-2012 interval, and more than 400,000 Landsat 5, 7, and 8 images for updates for the 2011-2022 interval, and additional images used for 2023, 2024 and 2025. The clear land surface observations in the satellite images were assembled and a supervised learning algorithm was applied to identify per pixel tree cover loss.  - In this data set, “tree cover” is defined as all vegetation greater than 5 meters in height, and may take the form of natural forests or plantations across a range of canopy densities. Tree cover loss is defined as “stand replacement disturbance” which is considered to be clearing of at least half of tree cover within a 30-meter pixel. The exact threshold is variable both through space and time, and is biome-dependent. Tree cover loss may be the result of human activities, including forestry practices such as timber harvesting or deforestation (the conversion of natural forest to other land uses), as well as natural causes such as disease or storm damage. Fire is another widespread cause of tree cover loss, and can be either natural or human-induced.  - This data set has been updated five times since its creation, and now includes loss up to 2025 (Version 1.13). The analysis method has been modified in numerous ways, including new data for the target year, re-processed data for previous years (2011 and 2012 for the Version 1.1 update, 2012 and 2013 for the Version 1.2 update, and 2014 for the Version 1.3 update), and improved modelling and calibration. These modifications improve change detection for 2011-2025, including better detection of boreal loss due to fire, smallholder rotation agriculture in tropical forests, selective losing, and short cycle plantations. Since the entire historical timeseries was not reprocessed with the updated methodology, time-series assessments should be performed with caution. Read more about the Version 1.13 update here:  and access on GEE here: .  - When zoomed out (< zoom level 13), pixels of loss are shaded according to the density of loss at the 30 x 30 meter scale. Pixels with darker shading represent areas with a higher concentration of tree cover loss, whereas pixels with lighter shading indicate a lower concentration of tree cover loss. There is no variation in pixel shading when the data is at full resolution (≥ zoom level 13).  - The tree cover canopy density of the displayed data varies according to the selection - use the legend on the map to change the minimum tree cover canopy density threshold.  Identifies areas of gross tree cover loss

Flood Hazard Mapping is an important part of the U.S. National Flood Insurance Program. The Federal Emergency Management Agency publishes Flood Insurance Rate Maps that show areas where the annual likelihood of a flood is 1% or greater (Special Flood Hazard Areas). Because standard homeowners insurance does not cover flood damage the congress created the National Flood Insurance Program in 1968. In participating communities homeowners and renters are able to by federally-backed flood insurance. Dataset Summary This layer's data represents Federal Emergency Management Agency's (FEMA) Flood Insurance Rate Map (FIRM) data. This data is based upon the original vector data from FIRM. These data are important for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). The National Flood Hazard Layer (NFHL) data present the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The NFHL database is a subset of the information created for the Flood Insurance Studies (FIS) and serves as a means to archive a portion of the information collected during the FIS. The NFHL data incorporates Digital Flood Insurance Rate Map (DFIRM) databases published by Federal Emergency Management Agency (FEMA).  This layer initially shows the flood zones by FEMA Flood Zone Designations with this symbology: The layer covers the continental U.S. Link to source metadata What can you do with this layer? The vector features for this layer can be used for visualization and analysis in ArcGIS. The features in this layer are only visible at scales larger than 1:1,155,582. The features can also be downloaded for use with ArcGIS desktop by with the Extract Landscape Source Data tool. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks. This collection includes a raster layer that was derived from these data.

Overview This dataset shows North American land cover for 2010 at a spatial resolution of 250 meters, based on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery. It provides a harmonized view of the physical cover of Earth's surface across the continent, classified into nineteen Level II land cover classes defined using the Land Cover Classification System (LCCS) standard developed by the Food and Agriculture Organization (FAO) of the United Nations. The dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations: the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), the National Commission for the Knowledge and Use of Biodiversity (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation (CEC), an international organization created by the governments of Canada, Mexico, and the United States under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. Land Cover Classes The raster attribute table provides 19 thematic land cover classes: 1: Temperate or sub-polar needleleaf forest 2: Sub-polar taiga needleleaf forest 3: Tropical or sub-tropical broadleaf evergreen forest 4: Tropical or sub-tropical broadleaf deciduous forest 5: Temperate or sub-polar broadleaf deciduous forest 6: Mixed forest 7: Tropical or sub-tropical shrubland 8: Temperate or sub-polar shrubland 9: Tropical or sub-tropical grassland 10: Temperate or sub-polar grassland 11: Sub-polar or polar shrubland-lichen-moss 12: Sub-polar or polar grassland-lichen-moss 13: Sub-polar or polar barren-lichen-moss 14: Wetland 15: Cropland 16: Barren land 17: Urban and built-up 18: Water 19: Snow and ice Geographic Coverage This dataset covers Canada, Alaska, the conterminous United States, and Mexico. Data Sources and Licensing This dataset builds on the initial 2005 North American Land Cover product, updated to reflect land cover changes detected through 2010. No changes were mapped in Hawaii due to a lack of newer data. This version (2.0) supersedes Edition 1.0, correcting labeling and classification errors identified after the initial release, and removes the water buffer along the coastline of North America to ensure consistent statistics for the water class. The entire dataset is produced by the Commission for Environmental Cooperation (CEC), derived from national land cover maps provided by Natural Resources Canada, the National Commission for the Knowledge and Use of Biodiversity, the National Institute of Statistics and Geography, the National Forestry Commission; and the United States Geological Survey. The compiled dataset is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: As needed Limitations of use: Intended for continental-scale reference. Vintage: 2010 Applications (Intended Use) Land cover review and continental- to national-scale mapping. Environmental monitoring and change detection over time. Spatial analysis and integration with other thematic layers in the North American Environmental Atlas. Supporting cross-border environmental cooperation and policy-making among North American nations. Files Download

This data is produced by the Global Land Analysis & Discovery (GLAD) lab at the University of Maryland (UMD) and measures areas of tree cover loss due to fire compared to all other drivers across all global land (except Antarctica and other Arctic islands) at approximately 30 × 30-meter resolution. The data were generated using global Landsat-based annual change detection metrics for 2001-2025 as input data to a set of regionally calibrated classification tree ensemble models. The result of the mapping process can be viewed as a set of binary maps (tree cover loss due to fire vs. tree cover loss due to all other drivers).  In this data set, “tree cover” is defined as all vegetation greater than 5 meters in height and may take the form of natural forests or plantations across a range of canopy densities. Tree cover loss is defined as “stand replacement disturbance” which is clearing of at least half of tree cover within a 30-meter pixel. The exact threshold is variable both through space and time and is biome-dependent. Tree cover loss due to fire may be caused by natural or human-induced fire activity.  The analysis method for the base tree cover loss map on GNW that is used as input for this dataset has been modified in numerous ways to improve detection of boreal loss due to fire, smallholder rotation agriculture in tropical forests, selective logging, and short cycle plantations for data covering the 2011-2025 period. Due to these changes, comparing trends across the 2000-2010 and 2011-2025 periods should be performed with caution. You can read more about updates to the tree cover loss modeling process here.  When zoomed out (< zoom level 13), pixels of loss are shaded according to the density of loss at the 30 x 30-meter scale. Pixels with darker shading represent areas with a higher concentration of tree cover loss, whereas pixels with lighter shading indicate a lower concentration of tree cover loss. There is no variation in pixel shading when the data is at full resolution (≥ zoom level 13).  The tree cover density of the displayed data varies according to the selection - use the legend on the map to change the minimum tree cover canopy density threshold.  This data is available for download from UMD here and also accessible through Google Earth Engine using the following image IDs (view the download page from UMD for more information):  - Fire certainty: users/sashatyu/2001-2025\_fire\_forest\_loss  - Date of loss: users/sashatyu/2001-2025\_fire\_forest\_loss\_annual  Identifies areas of tree cover loss due to fires compared to all other drivers of tree cover loss