Estimating the Impact of Land Cover Change on Soil Erosion Using Remote Sensing and GIS Data by USLE Model and Scenario Design

Fu, Anmin; Cai, Yanfei; Sun, Tao; Feng, Liang

doi:10.1155/2021/6633428

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…A comprehensive scientific approach to the study of land degradation processes, especially soil erosion, should use remote sensing and satellite imagery to capture different cover management practices. Advances in remote sensing and data processing and increased access to data have made a way for new vegetation indices and remote sensing products with better resolution and accuracy (Fu et al 2021;Nabati et al 2020). The cover management factor (C) is the ratio of the amount of soil lost from cultivated land to the amount of soil lost from the same land under continuous fallow without vegetation (El Jazouli et al 2017).…”

Section: Cover Management (C)mentioning

confidence: 99%

Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran

et al. 2023

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Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran's Lorestan province before and after a period of major floods in late 2018 and early 2019. Furthermore, soil erosion was calculated for current and future conditions based on the Global Soil Erosion Modeling Database (GloSEM). The results showed that agricultural development and land use change are the main causes of land degradation in the southern and central parts of the study area. The impact of floods was also significant since our evaluations showed that soil erosion increased from 4.12 t ha -1 yr -1 before the floods to 10.93 t ha -1 yr -1 afterwards. Field surveying using 64 ground control points determined that erodibility varies from 0.17 to 0.49% in the study area. Orchards, farms, rangelands and forests with moderate or low vegetation cover were the most vulnerable land uses to soil erosion. The GloSEM modeling results revealed that climate change is the main cause of change in the rate of soil erosion. Combined land use change-climate change simulation showed that soil erosion will increase considerably in the future under SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. In the study area, both natural factors, i.e. climate change and human factors such as agricultural development, population growth, and overgrazing are the main drivers of soil erosion. Keywords Natural disasters . Human activities . Risk assessment . Land degradation . GloSEM 1 Introduction

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Section: Cover Management (C)mentioning

confidence: 99%

Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran

et al. 2023

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“…Changes in land use/cover and erosivity of rainfall runoff have a significant influence on soil erosion (Fu et al, 2021). The value of land management (P) can be obtained by using topographic map converted to slope data categorized by Arsyad (1989) as presented in Table 7.…”

Section: Soil Erodibility (K)mentioning

confidence: 99%

Evaluation of Erosion Potential and Determination of The Causes of Erosion Using A Geographic Information System

Lestari

Simanjuntak²

2022

JTEP-L

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The purpose of this study was to determine the magnitude of the erosion class and too determine the cause distribution area in the Upper Serang Sub-watershed. In this study using combinatian of quantitative and qualitative descriptive methods. While the tools used are GPS, soil sampling tools, laboratory test equipment such as permeability analysis tools, organic materials tools, texture analysis tools, data analysis tools using Arc Gis 10.4.1 and SPSS. Erosion potential analysis using USLE (Universal Soil Loss Equation) method. Based on the research results, the Upper Serang Sub-watershed has 5 erosion class categories, i,e very light class (0.5-10.11 t·ha–1·y–1). Light grade (15.26-48.52 t·ha–1·y–1). Medium class (70.55-164.51 t·ha–1·y–1). Heavy class (208.95–388.41 t·ha–1·y–1). Very heavy class (697.47–2241.14 t·ha–1·y–1). While the Erosion Hazard Index is divided into 4 classes, i,e low class with a value of <1. Medium class with a score of 1.001-4.00. High class with a value of 4.01–10.0. Very high grade with a score of > 10. The dominant factor influencing the high and low erosion value is the slope factor and the length of the slope at the location of the Upper Serang Sub-watershed based on the closeness value with a value of 0.935 with a very strong closeness class. Keywords: Erosion, USLE, Serang Upper, Sub-watershed

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“…Topografi diparameterisasi dalam persamaan Universal Soil Loss Equation (USLE) (Efthimiou et al, 2020). Perubahan penggunaan/tutupan lahan dan erosivitas limpasan curah hujan memiliki pengaruh yang signifikan terhadap erosi tanah (Fu et al, 2021). Faktor lereng terdiri dari bentuk lereng yang berbeda (konvergen, paralel, dan divergen) dan kelengkungan yang berbeda (lurus, cekung, dan cembung) (Sabzevari & Talebi, 2019).…”

Section: Pendahuluanunclassified

Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

et al. 2021

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Abstrak: Erosi tanah menjadi semakin meningkat setiap tahun yang disebabkan oleh terjadinya peningkatan kerusakan lahan. Daerah Aliran Sungai (DAS) Amandit mengalami kerusakan lahan yang ditandai dengan luasnya lahan kritis pada DAS tersebut yang akan berpengaruh pada tingginya tingkat bahaya erosi pada DAS tersebut. Penelitian ini bertujuan untuk menganalisis tingkat bahaya erosi yang terjadi pada Daerah Aliran Sungai (DAS) Amandit. Penelitian ini menggunakan peta bentuklahan sebagai dasar pengambilan sampel. Jumlah sampel dalam penelitian ini adalah 18 buah sampel. Analisa data yang digunakan adalah berdasarkan Metode Universal Soil Loss Equation (USLE) yang digunakan untuk mengetahui tingkat bahaya erosi yang terjadi pada wilayah penelitian. Hasil penelitian menunjukkan tingkat bahaya erosi yang terjadi di Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat. Tingkat bahaya erosi yang paling tinggi adalah 1276.535 ton/ha/tahun. Faktor yang dominan yang mengakibatkan tingkat bahaya erosi pada Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat adalah kemiringan lereng, nilai erodibilitas yang tinggi, dan tutupan lahan. Kata Kunci: Tingkat Bahaya Erosi (TBE), Bentuklahan, USLE, DAS Amandit Abstract: Soil erosion is increasing every year due to increased land degradation. The Amandit Watershed has suffered damage which affects critical land in the watershed which will affect the level of erosion hazard in the watershed. This study aims to analyze the level of erosion that occurs in the Amandit Watershed. This study uses a landform map as a basis for sampling. The number of samples in this study were 18 samples. The data analysis used is based on the Universal Soil Loss Equation (USLE) method which is used to see the level of erosion hazard that occurs in the study area. The results showed that the level of erosion that occurred in the Amandit Watershed was classified as heavy-very heavy. The highest level of erosion was 1276.535 ton/ha/year. The dominant factors resulting in the level of erosion in the watershed (DAS) included in the weight-very weight classification are the slope of the slope, high erodibility values and land cover. Keywords: Erosion Hazard Level, Landform, USLE, Amandit Watershed

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Estimating the Impact of Land Cover Change on Soil Erosion Using Remote Sensing and GIS Data by USLE Model and Scenario Design

Cited by 9 publications

References 18 publications

Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran

Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran

Evaluation of Erosion Potential and Determination of The Causes of Erosion Using A Geographic Information System

Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

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