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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).
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 ...
These maps cover the world, but may have close up details in many areas. ... covers the Flemish Region and offers all data as open data downloads and services ...
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.
An ecological study used 16 ortho-rectified Landsat images to generate a land cover map of Mozambique's mangrove forest. The main objective was to measure the mangrove cover and above ground biomass on this zone that until now could only be estimated, the cover was found with 93% accuracy to be 2909 square kilometers (27% lower than previous ...
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 ...
Aerial photography, land cover data, and digital elevation models all provide coverage data. Generally, a coverage can be multi-dimensional, such as 1-D sensor timeseries, 2-D satellite images, 3-D x/y/t image time series or x/y/z geo tomograms , or 4-D x/y/z/t climate and ocean data.