The first all-season sample set for mapping global land cover with Landsat-8 data

Science Bulletin

Volumn 62, Issue 7, 2017, Pages 508-515

  Li, Congcong ^a,b   Gong, Peng ^a,c   Wang, Jie ^d   Zhu, Zhiliang ^e   Biging, Gregory S ^b   Yuan, Cui ^d   Hu, Tengyun ^a   Zhang, Haiying ^d   Wang, Qi ^a   Li, Xuecao ^a   Liu, Xiaoxuan ^a   Xu, Yidi ^a   Guo, Jing ^a   Liu, Caixia ^d   Hackman, Kwame O ^a   Zhang, Meinan ^a   Cheng, Yuqi ^f   Yu, Le ^a   Yang, Jun ^a   Huang, Huabing ^d   Clinton, Nicholas ^g   more..

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^e U S GEOLOGICAL SURVEY   (United States)

^f HENAN UNIVERSITY   (China)

^g GOOGLE INC   (United States)

Author keywords

Anytime; Anywhere; Latitudinal zones; Training sample; Validation

Indexed keywords

DECISION TREES; SAMPLING;

ANYTIME; ANYWHERE; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; LAND COVER CLASSIFICATION; RANDOM FOREST ALGORITHM; TRAINING SAMPLE; VALIDATION;

MAPPING;

EID: 85019184935     PISSN: 20959273     EISSN: 20959281     Source Type: Journal    
DOI: 10.1016/j.scib.2017.03.011     Document Type: Article

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