Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 178; pp. 203 - 218
• Main Authors: 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, Xu, Bing
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2021
• Subjects: 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

Urban land-use maps outlining the distribution, pattern, and composition of various land use types are critically important for urban planning, environmental management, disaster control, health protection, and biodiversity conservation. Recent advances in remote sensing and social sensing data and...