Spatial and Temporal Evaluation of Soil Erosion using RUSLE model Landsat satellite image time series (Case Study: Menderjan, Isfahan)

Document Type : Research Paper

Authors

1 Student

2 Range and watershed management, natural resources, Isfahan university Technology,Isfahan, Iran

3 Assistant Professor of Natural Resources Engineering Department, Isfahan university Technology,Isfahan, Iran

4 Rangeland and Watershed Group, faculty of natural resources ,Isfahan university technology.Iran

Abstract

Soil is one of the most important production factors that has a great impact on human socio-economic life and the process of soil erosion is one of the environmental issues that threatens the environment, natural resources and agriculture. Spatial and temporal information of the soil loss and soil erosion on the land has a significant role in influencing management practices, soil erosion control and watershed management. Therefore, this study was conducted with the aim of studying the spatial and temporal estimation of soil erosion during 1994, 1999, 2008 and 2015 in the sub-basin of Menderjan with an area of 21100 hectares located in the west of Isfahan province using RS and GIS. In the present study, while conducting field studies, various data and information including the digital elevation model, satellite images, soil, and statistics on rain gauge stations were used as a research tool. Estimation of soil erosion in the study area was carried out using RUSLE Model. The results of this study showed that the amount of soil erosion in 1994, 1999, 2008 and 2015 was 0.001 to 233, 0.001 to 297, 0.001 to 231 and 0.001 to 215 "ton/”ha.year”. The topography factor in the study area with the correlation coefficient of 80% had the greatest effect on the estimation of annual soil erosion by the RUSLE model. This research corroborate the effectiveness of modern GIS technologies and remote sensing in temporal simulation for quantitative, exact, and point-to-point estimates in the whole area to obtain soil erosion content.

Keywords


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Volume 71, Issue 3
December 2018
Pages 759-774
  • Receive Date: 24 November 2016
  • Revise Date: 03 December 2018
  • Accept Date: 20 September 2018
  • First Publish Date: 22 November 2018