• 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