Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America
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Title
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America
Authors
Keywords
Land use classification, Block-level mapping, Geospatial big data, Ensemble learning, NAIP, Sentinel-1/2
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 178, Issue -, Pages 203-218
Publisher
Elsevier BV
Online
2021-06-25
DOI
10.1016/j.isprsjprs.2021.06.010
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