The combined use of remote sensing and social sensing data in fine-grained urban land use mapping: A case study in Beijing, China

Remote Sensing

Volumn 9, Issue 9, 2017, Pages

  Zhang, Yuan ^a   Li, Qiangzi ^a   Huang, Huiping ^a   Wu, Wei ^a   Du, Xin ^a   Wang, Hongyan ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Per field classification; Random forests; Remote sensing; Social sensing; Urban land use classification

Indexed keywords

DECISION TREES; ECONOMICS; HOUSING; LAND USE; MAPPING; MOTOR TRANSPORTATION; REMOTE SENSING; SPACE OPTICS;

CLASSIFICATION ACCURACY; FIELD CLASSIFICATION; HIGH RESOLUTION REMOTE SENSING IMAGERY; OVERALL ACCURACIES; RANDOM FORESTS; REMOTE SENSING DATA; SOCIAL SENSING; URBAN LAND USE;

CLASSIFICATION (OF INFORMATION);

EID: 85029389925     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9090865     Document Type: Article

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