Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification

Remote Sensing of Environment

Volumn 158, Issue , 2015, Pages 193-206

  Dronova, Iryna ^a,b   Gong, Peng ^b,c,d,e,f   Wang, Lin ^c,d,e,g   Zhong, Liheng ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c BEIJING NORMAL UNIVERSITY   (China)

^d TSINGHUA UNIVERSITY   (China)

^e Poyang Lake Ecological Research Station for Environment and Health   (China)

^f JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

^g SOUTH CHINA SEA FISHERIES RESEARCH INSTITUTE   (China)

Author keywords

Change trajectory analysis; Dynamic cover types; Extended PCA; Object based image analysis; Phenology; Pr china; Wetland remote sensing

Indexed keywords

ARTIFICIAL INTELLIGENCE; FLOODS; LAKES; LEARNING SYSTEMS; REMOTE SENSING; TIME SERIES; UNCERTAINTY ANALYSIS; WETLANDS;

COVER TYPES; EXTENDED PCA; OBJECT BASED IMAGE ANALYSIS; PHENOLOGY; PR CHINAS; TRAJECTORY ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; IMAGE CLASSIFICATION; LONG-TERM CHANGE; PHENOLOGY; PRINCIPAL COMPONENT ANALYSIS; RADAR IMAGERY; SEASONALITY; TRAJECTORY; WETLAND;

CHINA; JIANGXI; POYANG LAKE;

EID: 84913568978     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.10.027     Document Type: Article

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