Filters: Tags: {"scheme":"U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Institute of Standards and Technology"} (X) > Date Range: {"choice":"year"} (X)
5 results (16ms)|
Filters
Date Types (for Date Range)
Tag Types Tags (with Scheme=U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Institute of Standards and Technology) |
This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213. In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover...
In recent years, rising sea levels have threatened critical infrastructure and cultural assets at Puʻuhonua o Hōnaunau National Historical Park thus motivating the park to make adaptive decisions in managing these key resources. To support the development of decision support tools for sea level rise preparedness, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for Puʻuhonua o Hōnaunau National Historical Park. This dataset was developed in collaboration with the University of Hawaii- Mānoa Sea Level Center, Department of Interior Pacific Island Climate Adaptation Science Center, and...
The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) has initiated the development of a second pilot 3D National Topography Model (3DNTM) to generate 3-dimensional surface elevation models that integrate topographic bare-earth elevation surfaces with river channel bed and coastal bathymetry and topobathymetry. Detailed knowledge of integrated river system topography, bathymetry, and topobathymetry is essential for fisheries habitat restoration, hydrologic modeling, and other key science applications such as flood mapping and identification of fluvial geomorphic features. An integrated 1-meter topobathymetric digital elevation model (TBDEM) for Hardin, Orange, and Jefferson counties in Southeast Texas has...
This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213. In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover...
This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213. In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover...
|
|
