Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America - Chen, Bin; Tu, Ying; Song, Yimeng; Theobald, David M.; Zhang, Tao; Ren, Zhehao; Li, Xuecao; Yang, Jun; Wang, Jie; Wang, Xi; Gong, Peng; Bai, Yuqi; et al. (ISPRS journal of photogrammetry and remote sensing, 2021)
Keywords: biodiversity conservation; Block-level mapping; cost effectiveness; demography; Ensemble learning; environmental management; Geospatial big data; health promotion; land use; Land use classification; NAIP; photogrammetry; Sentinel-1/2; socioeconomics; topography; Ensemble learning; Land use classification; Sentinel-1/2; Block-level mapping; NAIP; Geospatial big data