Accurate detection of land surface features using Evans and Shary quantitative coefficients (Case study: Gerbaigan Fasa watershed)

Geomorphological zoning of the earthchr('39')s surface is the basis of land use planning. The first step of land use planning is to determine homogeneous zones of the earthchr('39')s surface in terms of geomorphological characteristics. Geomorphologically homogeneous areas can be managed in one approach. Ground zoning is the detection of land features by basic surface features such as height, slope, and slope direction. In this research, the appearance of the earth from the quantitative point of view and geomorphological zoning of the earthchr('39')s surface are studied. The quantitative zoning is conducted using automated and predefined based on zoning criteria. Quantitative zoning does not involve the expertchr('39')s taste and skill level, and the zones will be obtained using specific quantitative strategies. The specified zones are determined by coefficients, which changes of these coefficients in different regions can be used to compare zones. In this study, quantitative zoning was performed by a digital elevation model, Arc GIS 9.3, Matlab 7.1, and Envi 4.8, and applying relationships for the mountainous region in the Gerbaigan plain of Fasa. For this research, digital elevation data with an accuracy of 10 meters from the surveying organization has been used. Using the level fitting tool in MATLAB software, the relationship related to each form to limited parts, or limited windows, has been fitted from the surface. These windows are selected in such a way that they have a square shape and their dimensions are, for example, 3*3, or 9*9. By applying for the given programs, each of the quantitative coefficients is presented as zones. To determine the degree of fit, the RMSE has been used. Evans-Shary quantitative parameters have the highest and lowest values for the valleys and peaks, respectively.