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Quantitative Estimation of Soil Erosion Using Open-Access Earth Observation Data Sets and Erosion Potential Model

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Abstract

The soil erosion is a physical process and considered as worldwide environmental problem. The present study aims to investigate spatial-temporal distribution of soil loss using Erosion Potential Model (EPM) in Mitrovica region (Kosova) in last 18 years (2000–2018). The precipitation, temperature, topography, geology, and land use/land cover layers were considered as input into the model. The model was implemented on annual basis for years 2000 and 2018. The hypsometric analysis was performed using Calhypso pulgin available in QGIS in order to understand the different stages of the watershed. In addition, the water retention curve of the region was also developed to understand the potential of soil to store the water. The validation was made through the regular field checks and surveys. In year 2000, the minimum and maximum soil loss was observed as 100 and 2000 m3/km2/year, respectively. In year 2018, the minimum and maximum detachment of soil volume was reported as 150 and 2200 m3/km2/year, respectively. Furthermore, the present study demonstrates the potential application of EPM in data scare regions like Mitrovica region.

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Acknowledgments

The author Edon Maliqi’s grateful to the Prof. Dr. Petar Penev for supervising his Ph.D at the University of Architecture, Civil Engineering and Geodesy; Department of Photogrametry and Cartography; Sofia, Bulgaria. As well as, Mr. Maliqi would like to thank to Prof.Dr. Ivica Milevski from Ss. Cyrill and Methodius University, Skopje, North Macedonia.

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  1. UBT – Higher Education Institution, Faculty of Architecture and Spatial Planning, Pristina, Kosovo

    Edon Maliqi

  2. K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Prayagraj, 211002, India

    Sudhir Kumar Singh

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Maliqi, E., Singh, S.K. Quantitative Estimation of Soil Erosion Using Open-Access Earth Observation Data Sets and Erosion Potential Model. Water Conserv Sci Eng 4, 187–200 (2019). https://doi.org/10.1007/s41101-019-00078-1

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