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The effect of land use and land cover changes on soil erosion in semi-arid areas using cloud-based google earth engine platform and GIS-based RUSLE model

Author

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  • Maryam Nourizadeh

    (Lorestan University)

  • Hamed Naghavi

    (Lorestan University)

  • Ebrahim Omidvar

    (University of Kashan)

Abstract

Soil erosion has attracted the attention of researchers and managers as an environmental crisis. One of the effective factors in soil erosion is land use and land cover (LULC) change. Accordingly, the purpose of the present study is to explore the effect of LULC change on soil erosion in a semi-arid region in the southwest of Iran. LULC change map was generated over a period of 30 years (1989–2019) using a new approach in which the Normalized Difference Vegetation Index (NDVI) time series of each year was classified in the google earth engine (GEE). For classifying the NDVI time series, a nonparametric Support Vector Machine (SVM) classification method was employed. The LULC maps were also used as an input factor in the soil erosion estimation model. The amount of soil erosion in the region was estimated using the Revised Universal Soil Loss Equation (RUSLE) empirical model in the Geographical Information System (GIS) environment. Validation of LULC maps generated in GEE indicated overall accuracy higher than 86% and the kappa coefficient higher than 0.82. The study of LULC change trends revealed that the area of forests, pastures, and rock outcrop in the region has diminished, while the area of agricultural and residential LUs has been expanded. Also, the highest rate of LULC conversion was related to the conversion of forests to agricultural lands. Estimating the amount of soil erosion in the region using the RUSLE model indicated that the average annual erosion in 1989 and 2019 was 15.48 and 20.41 tons per hectare, respectively, which indicates an increase of 4.93 tons in hectares, while the hot spots of erosion in the area have increased at the confidence levels of 90, 95, and 99%. Finally, matching the LULC change map with the soil erosion map revealed that the degradation of forests and pastures as well as their conversion to agricultural lands has had the greatest impact on the increase in soil erosion.

Suggested Citation

  • Maryam Nourizadeh & Hamed Naghavi & Ebrahim Omidvar, 2024. "The effect of land use and land cover changes on soil erosion in semi-arid areas using cloud-based google earth engine platform and GIS-based RUSLE model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(7), pages 6901-6922, May.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:7:d:10.1007_s11069-023-06375-2
    DOI: 10.1007/s11069-023-06375-2
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    References listed on IDEAS

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    1. David Pimentel, 2006. "Soil Erosion: A Food and Environmental Threat," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 8(1), pages 119-137, February.
    2. Ammar Ak. Ali & Alaa M. Al-Abbadi & Fadhil K. Jabbar & Hassan Alzahrani & Samie Hamad, 2023. "Predicting Soil Erosion Rate at Transboundary Sub-Watersheds in Ali Al-Gharbi, Southern Iraq, Using RUSLE-Based GIS Model," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    3. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1783-1798, December.
    4. Kabir Uddin & Mir Abdul Matin & Sajana Maharjan, 2018. "Assessment of Land Cover Change and Its Impact on Changes in Soil Erosion Risk in Nepal," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
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    1. Stefanos P. Stefanidis & Nikolaos D. Proutsos & Alexandra D. Solomou & Panagiotis Michopoulos & Athanassios Bourletsikas & Dimitris Tigkas & Velibor Spalevic & Shuraik Kader, 2025. "Spatiotemporal monitoring of post-fire soil erosion rates using earth observation (EO) data and cloud computing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(3), pages 2873-2894, February.
    2. Ninu Krishnan Modon Valappil & Fatimah Shafinaz Ahmad & Pratheesh Chacko Mammen & Pradeep Gopinathan Nair Shobhana & Vijith Hamza, 2025. "Temporal soil loss scenarios and erosional dynamics of a slopping landmass in the southwestern India before and after the 2018 severe rainfall and mega flood events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(1), pages 1067-1094, January.

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