The use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 86, Issue , 2013, Pages 100-110

  Deng, Chengbin ^a   Wu, Changshan ^b,c  

^a BINGHAMTON UNIVERSITY   (United States)

^b HARBIN NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

Impervious surface; MODIS; Random Forests; Regression tree; Spectral mixture analysis; V I S model

Indexed keywords

DECISION TREES; FORESTRY; IMAGE PROCESSING; MIXTURES; RADIOMETERS; REGRESSION ANALYSIS; SAMPLING;

IMPERVIOUS SURFACE; MODIS; RANDOM FORESTS; REGRESSION TREES; SPECTRAL MIXTURE ANALYSIS;

LEARNING SYSTEMS;

HETEROGENEITY; IMAGE RESOLUTION; LEAST SQUARES METHOD; MAPPING; MODIS; PIXEL; REGRESSION ANALYSIS; SPECTRAL ANALYSIS; URBAN AREA;

DECISION MAKING; FORESTRY; IMAGE ANALYSIS; MIXTURES; REGRESSION ANALYSIS; SAMPLING; TREES;

EID: 84885900255     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.09.010     Document Type: Article

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