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This map layer consists of federally owned or administered lands of the United States, Puerto Rico, and the U.S. Virgin Islands. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. There may be private inholdings within the boundaries of Federal lands in this map layer. Some established Federal lands which are larger than 320 acres are not included in this map layer, because their boundaries were not available from the owning or administering agency.
Tags: Air Force, Alabama, Alaska, Arizona, Arkansas, All tags...
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High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Antelope Canyon, BOR, Bullfrog, Bullfrog Bay, Bureau of Reclamation, All tags...
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This map layer shows Indian lands of the United States. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. Federally-administered lands within a reservation are included for continuity; these may or may not be considered part of the reservation and are simply described with their feature type and the administrating Federal agency. Some established Indian lands which are larger than 320 acres are not included in this map layer because their boundaries were not available from the owning or administering agency.
Tags: Alabama, Alaska, Arizona, Arkansas, BIA, All tags...
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This is a dynamic service of the Surface Management Agency (SMA) Geographic Information System (GIS) dataset. The service depicts Federal land for the United States and classifies this land by its active Federal surface managing agency below the scale scheme level 14 (~1:36K) for efficiency. The SMA feature class currently covers all of the BLM Western State Offices including Alaska. The SMA data contained in this dataset are extracted from Federal land status records. The official Federal land status records of the appropriate surface land managing agency should be consulted concerning ownership details including interest in the federal subsurface mineral estate. The GIS data contained in this dataset depict the...
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This polygon feature class represents vegetation communities mapped at Canyonlands National Park. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). A combination of methods were used to map Canyonlands. The USGS used e-Cognition software to create segments. The segments created were then looked at and extensively edited by the vegetation mappers. Some mapping was done on screen, using the 2002 imagery. Hard copy 9X9 photography was used for photo interpretation. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow. Additional data layers were used in aiding...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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This dataset presents 28 georeferenced orthomosaic images of the middle and lower reaches of the Elwha River. Each mosaic image was created by stitching together thousands of individual photographs that were matched based on numerous unique tie points shared by the photographs. The individual photographs were taken by a plane-mounted camera during multiple flights over the study area spanning 2012 to 2017. Because each mosaic is orthogonal to the earth's surface and is georeferenced to real-world coordinates, changes to the river channel and surrounding morphology can be seen and measured, including channel width, river braiding, bar formation, and other metrics to assess responses of the river to the removal of...
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Digital elevation models (DEMs) of the lower Elwha River, Washington, were created by synthesizing lidar and PlaneCam Structure-from-Motion (SfM) data. Lidar and still digital photographs were collected by airplane during surveys from 2012 to 2016. The digital photographs were used to create a SfM digital surface model. Each DEM represents the ending conditions for that water year (for example, the 2013 DEM represents conditions at approximately September 30, 2013). The final DEMs, presented here, were created from the most recent lidar before September 30 of a given year, supplemented with an error-corrected SfM model from a low-flow summer Elwha PlaneCam flight as close to 30 September as possible. This synthetic...
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level. The dataset was clipped to the ecoregion boundary and queried for National parks, National Preserves, and National Wildlife Refuges.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.


map background search result map search result map National Parks and Monuments for Wyoming Canyonlands National Park Vegetation Mapping Project - Spatial Vegetation Data Digital elevation models (DEMs) of the lower Elwha River, Washington, water year 2013 to 2016 Orthomosaic images of the middle and lower Elwha River, Washington, 2012 to 2017 Multibeam backscatter data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA, using a dual-head Reson T20-P multibeam echosounder (8-bit GeoTIFF, UTM Zone 12N, WGS 84, 2 meter resolution) USGS 1:1,000,000-Scale Federal Lands of the United States 201412 FileGDB USGS 1:1,000,000-Scale Indian Lands of the United States 201412 Shapefile BLM REA SOD 2010 SMA BLM Lands BLM REA MAR 2012 SMA poly BLM REA NGB 2011 BLM Surface Management Agency Ownership BLM REA SLV 2013 SMA Visual BLM REA YKL 2011 SMA poly BLM REA MBR 2010 SMA poly BLM REA SNK 2010 SMA poly BLM National Surface Management Agency Dynamic Scale Map Service National Park Service Thematic Burn Severity Mosaic in 2018 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2013 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2006 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1996 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1995 (ver. 6.0, January 2024) Orthomosaic images of the middle and lower Elwha River, Washington, 2012 to 2017 Digital elevation models (DEMs) of the lower Elwha River, Washington, water year 2013 to 2016 Canyonlands National Park Vegetation Mapping Project - Spatial Vegetation Data BLM REA SLV 2013 SMA Visual Multibeam backscatter data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA, using a dual-head Reson T20-P multibeam echosounder (8-bit GeoTIFF, UTM Zone 12N, WGS 84, 2 meter resolution) National Parks and Monuments for Wyoming BLM REA SOD 2010 SMA BLM Lands BLM REA NGB 2011 BLM Surface Management Agency Ownership BLM REA MAR 2012 SMA poly BLM REA SNK 2010 SMA poly BLM REA MBR 2010 SMA poly BLM REA YKL 2011 SMA poly USGS 1:1,000,000-Scale Indian Lands of the United States 201412 Shapefile National Park Service Thematic Burn Severity Mosaic in 1995 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2013 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1996 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2018 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2006 (ver. 6.0, January 2024) BLM National Surface Management Agency Dynamic Scale Map Service USGS 1:1,000,000-Scale Federal Lands of the United States 201412 FileGDB