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.
[2]
Technology Partners: MimirTech
Links:
[1] http://admin.indiaenvironmentportal.org.in/reports-documents/mapping-urban-land-use-india-and-mexico-using-remote-sensing-and-machine-learning
[2] http://www.indiaenvironmentportal.org.in/files/file/mapping urban land use india.pdf
[3] http://admin.indiaenvironmentportal.org.in/category/author/peter-kerins
[4] http://admin.indiaenvironmentportal.org.in/category/author/brook-guzder-williams
[5] http://admin.indiaenvironmentportal.org.in/category/author/eric-mackres
[6] http://admin.indiaenvironmentportal.org.in/category/author/taufiq-rashid
[7] http://admin.indiaenvironmentportal.org.in/category/author/eric-pietraszkiewicz
[8] http://admin.indiaenvironmentportal.org.in/category/publisher/world-resources-institute
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/urban-land-use
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/india
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/remote-sensing
[12] http://admin.indiaenvironmentportal.org.in/category/thesaurus/mexico
