Incorporating spectral data into logistic regression model to classify land cover: A case study in Mt. Qomolangma (Everest) National Nature Preserve

International Journal of Geographical Information Science

Volumn 26, Issue 10, 2012, Pages 1845-1862

  Gao, Jungang ^a,b   Zhang, Yili ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

autologistic regression model; classification; land cover; logistic regression model; Mt. Qomolangma National Nature Preserve; spectral variable

Indexed keywords

GRASSLAND; LAND CLASSIFICATION; LAND COVER; NUMERICAL MODEL; REGRESSION ANALYSIS; SPECTRAL ANALYSIS;

CHINA; QOMOLANGMA NATIONAL NATURE PRESERVE; XIZANG;

PROTEIDAE;

EID: 84867254727     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2012.659185     Document Type: Article

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