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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 ...
The content includes thematic maps related to disasters, agriculture, water resources, land cover, and processed satellite data generated by ISRO. [ 2 ] Bhuvan is known for its association with various sections of the Government of India to enable the use of geospatial technology.
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 ...
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 ...
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.
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.
GeoInfo Map [1] – a geospatial information service provided by the Hong Kong Special Administrative Region (HKSAR) Government. Common Spatial Data Infrastructure Portal aka CSDI – a portal providing information infrastructure to share spatial data in Hong Kong for smart city development.