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A GIS analysis package for basic and advanced spatial analysis, an Image Processing system with extensive hard and soft classifiers including machine learning classifiers, integrated modelling environments including the Earth Trends Modeller for image time series of environmental trends and Land Change Modeller for land change analysis and ...
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.
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 Geospatial Data Abstraction Library (GDAL) is a computer software library for reading and writing raster and vector geospatial data formats (e.g. shapefile), and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.
Unlike the OGC Web Map Service (WMS), which portrays spatial data as static, server-rendered images (maps), the Web Coverage Service delivers underlying data values along with their detailed descriptions. This enables a rich syntax for queries against the data and returns information with its original semantics, rather than just pictures ...
Sentient is a heavily classified artificial intelligence satellite intelligence analysis system of the United States Intelligence Community, operated by the National Reconnaissance Office (NRO) and developed by their Advanced Systems and Technology Directorate (AS&T), with the United States Air Forces Research Laboratory at Wright-Patterson Air Force Base and the Department of Energy's ...
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