Mapping vegetation in an urban area with stratified classification and multiple endmember spectral mixture analysis

Remote Sensing of Environment

Volumn 133, Issue , 2013, Pages 251-264

  Liu, Ting ^a   Yang, Xiaojun ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Medium resolution remote sensor imagery; Multiple endmember spectral mixture analysis (MESMA); Stratified classification; Supervised classification protocol; Thematic accuracy assessment; Urban environments; Vegetation types

Indexed keywords

MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS; REMOTE SENSORS; SUPERVISED CLASSIFICATION; THEMATIC ACCURACIES; URBAN ENVIRONMENTS; VEGETATION TYPE;

MIXTURES; PHOTOMAPPING; REMOTE SENSING; SET THEORY; URBAN PLANNING;

VEGETATION;

ABUNDANCE ESTIMATION; ACCURACY ASSESSMENT; CLASSIFICATION; IMAGE CLASSIFICATION; IMAGERY; LAND COVER; LANDSAT THEMATIC MAPPER; LANDSCAPE PLANNING; METROPOLITAN AREA; PIXEL; SPECTRAL ANALYSIS; THEMATIC MAPPING; URBAN ECOSYSTEM; VEGETATION MAPPING;

EID: 84875589284     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.02.020     Document Type: Article

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