Logistic regression modelling of multitemporal Thematic Mapper data for burned area mapping

作者: N. Koutsias , M. Karteris

DOI: 10.1080/014311698213777

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摘要: This study focused on the development of a logistic regression model for burned area mapping using two Landsat-5 Thematic Mapper (TM) images. Logistic models were structured spectral channels images as explanatory variables. The overall accuracy results and other statistical indications denote that logisticregression modelling can be usedsuccessfully mapping. consisted TM4, TM7 TM1 had an 97.62%, proved to most suitable. Moreover, concluded channel TM4 was sensitive alterations response category pixels, followed by TM7.

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