Improving impervious surface estimation: an integrated method of classification and regression trees (CART) and linear spectral mixture analysis (LSMA) based on error analysis

GIScience and Remote Sensing

Volumn 55, Issue 4, 2018, Pages 583-603

  Wang, Jin ^a,b   Wu, Zhifeng ^c   Wu, Changshan ^d   Cao, Zheng ^a,b   Fan, Wei ^e   Tarolli, Paolo ^f  

^a GUANGZHOU INSTITUTE OF GEOCHEMISTRY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c GUANGZHOU UNIVERSITY   (China)

^d UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^e Guangdong Forestry Survey and Planning Institute   (China)

^f UNIVERSITY OF PADOVA   (Italy)

Author keywords

CART; impervious surface; LSMA; remote sensing

Indexed keywords

ALGORITHM; ENVIRONMENTAL QUALITY; ERROR ANALYSIS; ESTIMATION METHOD; MACHINE LEARNING; REMOTE SENSING; URBAN AREA; URBAN DEVELOPMENT; URBANIZATION;

CHICAGO; CHINA; GUANGDONG; GUANGZHOU; ILLINOIS; ITALY; UNITED STATES; VENETO; VENEZIA [VENETO]; VENICE;

EID: 85039067964     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2017.1417690     Document Type: Article

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