Title of article
Rock Units Erosion Susceptibility Detection and Classification Using Nonlinear Correlation Analysis and Landsat ETM+ Data
Author/Authors
Mokhtari, Ahmad Soil Conservtion and Watershed Management Department - Isfahan Agricultural and Natural Resources Research and Education Center, Isfahan, Iran , Shirani, Kourosh Soil Conservtion and Watershed Management Department - Isfahan Agricultural and Natural Resources Research and Education Center, Isfahan, Iran , Heidari, Farzad Soil Conservtion and Watershed Management Department - Isfahan Agricultural and Natural Resources Research and Education Center, Isfahan, Iran
Pages
13
From page
53
To page
65
Abstract
The use of accurate lithological maps is inevitable in the preparation of rock unit’s erosion
susceptibility maps. In this study, rock unit outcrops in the Soh Basin (50 km Northern Isfahan)
were extracted using nonlinear correlation analysis of satellite data. Moreover, rock unit’s erosion
susceptibility such as marl, shale, and quaternary deposits and resistant rock units such as
sandstone and limestone were extracted based on soil erosion intensity factors. The lithology of
the basin was studied using the virtual variables method. Initially, rock units, as a virtual
independent variable, and the PC1 (the first principal component) of ETM+ multispectral bands
were analyzed by a multiple linear regression model. Afterward, rock units were analyzed in
logistic regression analysis as virtual dependent variables. The results revealed that logistic
regression analysis is a suitable model for rock unit’s extraction
Keywords
Satellite Data , Landsat ETM + , Lithological Mapping , Soil Erosion Susceptibility , Logistic Regression
Journal title
Journal of research in psychopathology
Serial Year
2022
Record number
2724588
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