No abstract

Logistic regression modeling was applied, as an alternative classi cation procedure, to a single post-re Landsat-5 Thematic Mapper image for burned land mapping. The nature of the classi cation problem in this case allowed the structure and application of logistic regression models, since the dependent variable could be expressed in a dichotomous way. The two logistic regression models consisted of the TM 4, TM 7, TM 1 and TM 4, TM 7, TM 2 presented an overall accuracy of 97.37% and 97.30%, respectively and proved to be the most well performing three-channel color composites. The discriminator ability in respect to burned area mapping of each one of the six spectral channels of Thematic Mapper, which was achieved by applying six logistic regression models, agreed with the results taken from the separability indices Je ries-Matusita and Transformed Divergence.

No abstract

No abstract

No abstract