A Modified Csle for Soil Loss Prediction Under Different Vegetation Pattern at Slope Scale in China DOI
Wenhai Shi,

Jiachi Bao,

Miaomiao Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Global soil water erosion responses to climate and land use changes DOI
Muqi Xiong, Guoyong Leng

CATENA, Journal Year: 2024, Volume and Issue: 241, P. 108043 - 108043

Published: April 25, 2024

Language: Английский

Citations

15
A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region of the Yellow River DOI Creative Commons

Hucheng Li,

Jianjun Chen, Ming Ling

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102928 - 102928

Published: Nov. 1, 2024

Language: Английский

Citations

9
Integration of RUSLE model with remotely sensed data over Google Earth Engine to evaluate soil erosion in Central Indus Basin DOI Open Access
Shah Fahd, Muhammad Waqas, Zeeshan Zafar

et al.

Earth Surface Processes and Landforms, Journal Year: 2025, Volume and Issue: 50(3)

Published: March 6, 2025

Abstract Soil erosion presents a substantial environmental obstacle for farmers, especially in the plains of Indus Basin, which are characterised by rainfall scarcity. This study utilised remotely sensed data on Google Earth Engine (GEE) to estimate yearly soil implementing Revised Universal Loss Equation (RUSLE) model Central Basin. The study's primary objective was determine order importance and execute conservation strategies. input datasets were processed GEE produce essential factors, including erosivity ( R ), erodibility K slope length steepness LS land cover C ) management techniques P required model. area varied from 1 26.2 t ha −1 year . combined regions with low, moderate, high, extremely high rates amounted 445 397 ha. More precisely, 8670 (0.6%), 263 062 (18.2%) 468 310 (32.4%) allocated as first, second third‐class priority areas, respectively. These areas geographically dispersed across northwest eastern basin, sandy dunes infrequent agricultural cultivation. highlighted usability reliable estimation large scale. methodology amplifies effectiveness planning endeavours.

Language: Английский

Citations

0
Comparing Soil Erosion Rate Predictions Using USLE Method Based on Conventional and Remote Sensing Data Calculations DOI

I Wayan Sandi Adnyana,

Abd. Rahman As-syakur, I Wayan Nuarsa

et al.

Environmental science and engineering, Journal Year: 2025, Volume and Issue: unknown, P. 357 - 392

Published: Jan. 1, 2025

Language: Английский

Citations

0
New 30-m resolution dataset reveals declining soil erosion with regional increases across Chinese mainland (1990–2022) DOI
Jining Yan, Sheng Wang,

Jiaxin Feng

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 323, P. 114681 - 114681

Published: April 8, 2025

Language: Английский

Citations

0
Decreasing soil erosion in South China with uncertainties driven by NDVI estimates DOI Creative Commons

Xinqing Lu,

Yulian Liang, Tongtiegang Zhao

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113422 - 113422

Published: April 1, 2025

Language: Английский

Citations

0
Refining erosion assessment with NDVI-based modeling: a case study in diverse climatic zones DOI
Abdelmonaim Okacha, Adil Salhi

Mediterranean Geoscience Reviews, Journal Year: 2024, Volume and Issue: 6(3), P. 219 - 232

Published: Aug. 12, 2024

Language: Английский

Citations

3
Unraveling the paradox of soil erosion and conservation: Insights from China DOI
Muqi Xiong, Jialei Li, Ranhao Sun

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 177134 - 177134

Published: Nov. 1, 2024

Language: Английский

Citations

1
Land-Use-Change-Driven Erosion and Sediment Transport in the Yaqui River Sub-Basin (Mexico): Insights from Satellite Imagery and Hydraulic Simulations DOI Creative Commons
Omar S. Areu-Rangel, Miguel Ángel Hernández-Hernández, Rosanna Bonasia

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1846 - 1846

Published: Nov. 6, 2024

Soil erosion and sediment transport are significant concerns in the Yaqui River sub-basin northwest Mexico, driven by land use changes environmental degradation. This study aims to evaluate processes between 2000 2020 using a combination of satellite imagery numerical simulations with Iber software (Version 2.5.2). The primary objective is assess impacts changes, particularly conversion forest grassland, on rates transport. Satellite images from were analyzed detect cover while Iber’s module was used simulate patterns based Meyer–Peter Müller equation for bedload Hydrological topographical data incorporated provide accurate flow velocity, depth, potential. results reveal 35.3% reduction cover, leading increased steep areas. Simulation predictions highlighted areas high future potential, which at risk further soil loss if current trends continue. Flow velocity increased, contributing riverbank destabilization higher yield, posing infrastructure such as Álvaro Obregón Dam. underscores need targeted control measures sustainable management practices mitigate risks protect vital Basin.

Language: Английский

Citations

1
Upscaling plot-based measurements of RUSLE C-factor of different leaf-angled crops in semi-arid agroecosystems DOI
Melis Özge Pınar, Günay Erpul

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(11)

Published: Oct. 19, 2023

Language: Английский

Citations

2