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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.
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Land use is a description of how people utilize the land and of socio-economic activity. Urban and agricultural land uses are two of the most commonly known land use classes. At any one point or place, there may be multiple and alternate land uses, the specification of which may have a political dimension.
Cumulative CO2 emissions from land-use change (as of 2021). Emissions from land-use change can be positive or negative depending on whether these changes emit (positive, brown on the map) or sequester (negative) carbon (green on the map). Land use is an umbrella term to describe what happens on a parcel of land.
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Land change science – Interdisciplinary study of changes in climate, land use, and land cover; Land change modeling – Geographic and ecological field of study; Land use – Classification of land resources based on what can be built and on its use; Satoyama – Japanese term for the area between flat coastal plains and interior mountain ...