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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. Only areas of 640 acres or more are included. There may be private inholdings within the boundaries of Federal lands in this map layer. This is a revised version of the December 2005 map layer.
Categories: Web Site; Tags: National Park, National Mall, Louisiana, Tennessee Valley Authority, Iowa, All tags...
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This map layer portrays the linear federally owned or administered land features (i.e., national parkways, wild and scenic rivers, etc.) of the United States and Puerto Rico. Some features may be administered in conjunction with local governments. The map layer was created by extracting and combining linear federal land features from the 1:1,000,000-scale Roads and Streams files that are part of The National Map. There are no Parkways or Scenic Rivers in Hawaii or in the U.S. Virgin Islands.
Types: Citation; Tags: Rhode Island, Oklahoma, Small-scale Datasets, North Carolina, Massachusetts, All tags...
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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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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 dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, publically available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...
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This dataset represents the prevalence of trees as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This polygon feature class represents vegetation communities mapped at Capitol Reef National Park to an alliance or association level, depending on the photo signature. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Original lines were drawn on-screen using the DOQs collected in June of 2002 as a base map. 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 the interpretation, such as slope, hydrology, geography, and ground-collected vegetation information....
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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.
Types: Citation; Tags: Rhode Island, Oklahoma, Department of Health and Human Services, Small-scale Datasets, North Carolina, All tags...
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The 1966 polygons included in this data release represent the main body portion of the 37 named glaciers of Glacier National Park (GNP) and 2 named glaciers on the U.S. Forest Service’s Flathead National Forest land. This is a subset of the original mapping effort derived from 1:24000 scale mapping of named glaciers and permanent snowfields within Glacier National Park, Montana which were digitized by Richard Menicke (Glacier National Park) and Carl Key (U.S. Geological Survey) in 1993. These data are based on USGS 7.5 minute quadrangle mapping published from 1966 through 1968 which were the result of the earliest park-wide aerial surveys of snow and ice features in GNP. Examination of the aerial photographs shows...
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This polygon feature class represents vegetation communities mapped at Arches National Park to an alliance or association level, depending on the photo signature. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Original lines were drawn on mylar overlays using the DOQs collected in June of 2002. 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 the interpretation, such as slope, hydrology, soils, geography, and ground-collected vegetation information....
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This polygon feature class represents vegetation communities mapped at Dinosaur National Monument. The polygons were delineated following guidelines set by the National Vegetation Classification System (October 1995). Original lines were drawn on a mylar overlay on top of printed 1:12,000 digital scale orthophoto quadrangles (DOQ), collected in the summer of 2002. Hard copy 9X9 stereo aerial photography was used for photo interpretation. Intuitive ecological modeling and visual interpretation cues, such as shape, size, pattern, tone, texture, color, and shadow, were used to develop the polygons. Additional data layers used to aid the interpretation include slope, hydrology, geography, and ground-collected vegetation...
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This dataset represents the prevalence of tamarisk as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. photos, this cover layer reflects conditions that existed when the imagery was collected (September, 2010). This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This dataset represents the prevalence of native trees as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This dataset represents the presence/absence of non-native, woody and herbaceous cover types in vegetation patches, as mapped from high resolution imagery from 2010. Each type (woody or herbaceous) requires different techniques, equipment and approaches, impacting treatment costs. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This dataset represents the prevalence of tamarisk (tamarisk penalty) as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, publically available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...
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This dataset represents the diversity of woody cover types (averaged per 1.5 ha) as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.


map background search result map search result map National Parks and Monuments for Wyoming Federal Lands of the United States Arches National Park Vegetation Mapping Project - Spatial Vegetation Data Capitol Reef National Park Vegetation Mapping Project - Spatial Vegetation Data Canyonlands National Park Vegetation Mapping Project - Spatial Vegetation Data Dinosaur National Monument Vegetation Mapping Project - Spatial Vegetation Data USGS 1:1,000,000-Scale Federal Lands of the United States - Parkways and Scenic Rivers 201506 Shapefile USGS 1:1,000,000-Scale Federal Lands of the United States 201412 Shapefile Open Areas (Component Layer of Open Land Species Model) Tamarisk Penalty (Component Layer of Riparian Overstory Layer) Prevalence of Trees (Component Layer of Riparian Overstory Layer) Diversity of Woody Structure (Component Layer of Riparian Overstory Layer) Distance to Permanent Water (Component of Rocky Fringe Snakes Model) Structural Types of Non-Native Species (Component Layer of Relative Cost of Restoration Model) Density of Native Riparian Trees (Component Layer of Fire Risk Model) Density of Tamarisk (Component Layer of Fire Risk Model) 1966_Glacier margins derived from USGS 1966 topographic maps for the named glaciers of Glacier National Park, MT and environs 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 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 Arches National Park Vegetation Mapping Project - Spatial Vegetation Data Canyonlands National Park Vegetation Mapping Project - Spatial Vegetation Data 1966_Glacier margins derived from USGS 1966 topographic maps for the named glaciers of Glacier National Park, MT and environs Dinosaur National Monument Vegetation Mapping Project - Spatial Vegetation Data Structural Types of Non-Native Species (Component Layer of Relative Cost of Restoration Model) Open Areas (Component Layer of Open Land Species Model) Diversity of Woody Structure (Component Layer of Riparian Overstory Layer) Prevalence of Trees (Component Layer of Riparian Overstory Layer) Tamarisk Penalty (Component Layer of Riparian Overstory Layer) Density of Tamarisk (Component Layer of Fire Risk Model) Density of Native Riparian Trees (Component Layer of Fire Risk Model) Distance to Permanent Water (Component of Rocky Fringe Snakes Model) National Parks and Monuments for Wyoming USGS 1:1,000,000-Scale Federal Lands of the United States - Parkways and Scenic Rivers 201506 Shapefile Federal Lands of the United States USGS 1:1,000,000-Scale Federal Lands of the United States 201412 Shapefile