Mapping urban land use in India and Mexico using remote sensing and machine learning
Mapping urban land use in India and Mexico using remote sensing and machine learning
This technical note describes the data sources and methodology underpinning a computer system for the automated generation of land use/land cover (LULC) maps of urban areas based on medium-resolution (10–30m/pixel) satellite imagery. The system and maps deploy the LULC taxonomy of the Atlas of Urban Expansion—2016 Edition: open, nonresidential, roads, and four types of residential space.
Publication Date:
01/01/2021