Demarcation modeling of erosional and depositional surfaces with soil characteristics and remote sensing (RS)

Articles in Press

Document Type : Research Paper

Authors

1 Soil Science Department, Faculty of Agriculture, Shahid Chamran University of Ahvaz

2 Associate Professor of Soil Science, Faculty of Agriculture, Shahid Chamran University of Ahvaz. Ahvaz. Iran

Abstract

Nowadays demarcation and classification models based on remote sensing are widely used for classification processes and land changes. In this research, the efficiency of demarcation models to evaluate erosional and depositional regions investigated. The study area of Zahirieh in Khuzestan province, with an approximate area of 7100 hectares, was divided into erosional, depositional, and stable areas based on satellite images and field surveys. Then soil sampling was done from erosional and depositional surfaces. The physical and chemical parameters of the soil including soil texture components, bulk density, organic matter, phosphorus, lime, electrical conductivity, pH and soil gypsum were measured. In order to evaluate the reflective characteristics of erosional and depositional surfaces, bands and indices extracted from Landsat 8 images of 2022. Moreover, the efficiency of supervised algorithms was performed using Kappa coefficient and overall accuracy. The results of the average comparison test depicted that the percentage of soil clay with 9.37 for erosional surfaces and 14.74 for depositional surfaces and gypsum with mean of 14.68 for erosional and 6.2 for depositional surfaces has a significant difference (5%) between erosional and depositional surfaces therefore, they can be used as parameters to separate surfaces, but for other parameters, no significant difference was observed. The results showed that BI, SI and NDSI indices can be effectively used to distinguish eroded surfaces from depositional surfaces.

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Iranian Journal of Soil and Water Research

Articles in Press, Accepted Manuscript
Available Online from 06 October 2024

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