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      Remote sensing of land use/cover changes and its effect on wind erosion potential in southern Iran

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          Abstract

          Wind erosion is a complex process influenced by different factors. Most of these factors are stable over time, but land use/cover and land management practices are changing gradually. Therefore, this research investigates the impact of changing land use/cover and land management on wind erosion potential in southern Iran. We used remote sensing data (Landsat ETM+ and Landsat 8 imagery of 2004 and 2013) for land use/cover mapping and employed the Iran Research Institute of Forest and Rangeland (IRIFR) method to estimate changes in wind erosion potential. For an optimal mapping, the performance of different classification algorithms and input layers was tested. The amount of changes in wind erosion and land use/cover were quantified using cross-tabulation between the two years. To discriminate land use/cover related to wind erosion, the best results were obtained by combining the original spectral bands with synthetic bands and using Maximum Likelihood classification algorithm (Kappa Coefficient of 0.8 and 0.9 for Landsat ETM+ and Landsat 8, respectively). The IRIFR modelling results indicate that the wind erosion potential has increased over the last decade. The areas with a very high sediment yield potential have increased, whereas the areas with a low, medium, and high sediment yield potential decreased. The area with a very low sediment yield potential have remained constant. When comparing the change in erosion potential with land use/cover change, it is evident that soil erosion potential has increased mostly in accordance with the increase of the area of agricultural practices. The conversion of rangeland to agricultural land was a major land-use change which lead to more agricultural practices and associated soil loss. Moreover, results indicate an increase in sandification in the study area which is also a clear evidence of increasing in soil erosion.

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          Most cited references44

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          A modified soil adjusted vegetation index

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            An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data

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              Global potential soil erosion with reference to land use and climate changes

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                20 July 2016
                2016
                : 4
                : e1948
                Affiliations
                [1 ]Department of Soil Science, College of Agriculture, Shiraz University , Shiraz, Iran
                [2 ]Department of Natural Resources Engineering and Environmental Sciences, College of Agriculture, Shiraz University , Shiraz, Iran
                [3 ]Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Wageningen, The Netherlands
                Article
                1948
                10.7717/peerj.1948
                4958010
                27547511
                771561cc-ec55-43f9-b2c3-91ffc0c55a0c
                ©2016 Rezaei et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 14 January 2016
                : 29 March 2016
                Funding
                The authors received no funding for this work.
                Categories
                Agricultural Science
                Environmental Sciences
                Soil Science

                wind erosion,remote sensing,land use/cover change,iran
                wind erosion, remote sensing, land use/cover change, iran

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