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The Amazon-ULC Data Package, available as an R package, provides Urban Land Cover (ULC) classifications for selected cities in the Brazilian Amazon. The study areas cover approximately 1,200 km², including the municipal seats of Altamira (153 km²), Cametá (44 km²), Marabá (164 km²), Santarém (143 km²), and part of the Metropolitan Area of Belém (614 km²), all located in the state of Pará.These land cover maps have significant value in urban planning for Amazonian cities, as they can aid in monitoring urban sprawl, restricting construction in environmental protection areas, assisting in urban zoning, and identifying high-density areas, among other uses. Our classification model used images from the WPM sensor of the CBERS-4A satellite, and combined the GEOBIA approach, data mining techniques, and the random machine learning algorithm.
Remote Sensing, Random Forest, Urban Land Cover, Data Mining, Amazon, Reproducible research
Remote Sensing, Random Forest, Urban Land Cover, Data Mining, Amazon, Reproducible research
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