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The National Map is part of the USGS National Geospatial Program. [3] The geographic information available includes orthoimagery (aerial photographs), elevation, geographic names, hydrography, boundaries, transportation, structures and land cover. The National Map is accessible via the Web, as products and services, and as downloadable data ...
The USGS Gap Analysis Program maintains four primary data sets: land cover, protected areas, species and aquatic. The GAP Land Cover Data Set is the most complete map ever produced of vegetative associations for the US. Classified into 551 ecological systems, and 32 modified ecological systems (where human impacts have had an effect).
i-Tree is a collection of urban and rural forestry analysis and benefits assessment tools. It was designed and developed by the United States Forest Service to quantify and value ecosystem services provided by trees including pollution removal, carbon sequestration, avoided carbon emissions, avoided stormwater runoff, and more. i-Tree provides baseline data so that the growth of trees can be ...
The National Map by the United States Geological Survey. Roadtrippers - covers the whole country; TerraServer-USA - covers the whole country; Uzbekistan. 2GIS, by 2GIS. Vietnam "Vietbando Maps", by Vietbando. "Vinalo Maps", Vinalo. See also. Comparison of web map services; National mapping agency; References
Currently, the best source for nationwide LiDAR availability from public sources is the United States Interagency Elevation Inventory (USIEI). [1] The USIEI is a collaborative effort of NOAA and the U.S. Geological Survey, with contributions from the Federal Emergency Management Agency, the Natural Resources Conservation Service, the US Army Corps of Engineers, and the National Park Service.
GAP has produced national land cover and protected areas datasets, which it uses to assess the conservation status of mammal, bird, reptile, and amphibian species in the U.S. A GAP program normally has three principal components: 1. Landcover analysis 2. Vertebrate species distribution prediction 3. Land stewardship database
The organization was created by merging the three existing NOAA National Data Centers with the goal of streamlining the collection and preservation of environmental data. The merger, which came in response to increasing demand for environmental information, was intended to make NOAA's data more useful through the application of consistent data ...
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.