Potential erosion risk assessment of Kanak stream basin (Sivas, Sarkisla) with the ICONA model
用ICONA模型评估土耳其Kanak流域潜在侵蚀风险并列出防治措施。
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#土壤侵蚀
Quantification of soil loss by using RUSLE model under different land use and land cover conditions in AKANYARU catchment in Rwanda
用RUSLE与GIS量化卢旺达Akanyaru流域四类土地利用的年土壤流失量。
Land use and socio-economic changes caused by riverbank erosion - case study: Obrenovac municipality, Serbia
研究塞尔维亚Kolubara河岸侵蚀97年间的河道迁移、耕地损失及社会经济影响。
Determination of Erosion Potential of Rioni River Basin Using GIS and RUSLE Model
用GIS和RUSLE模型评估里奥尼河流域土壤侵蚀潜力。
An Index-Based Algorithm for Detecting Water Soil Erosion Indicators from Sentinel-2 Multispectral Data and Its Verification on Field Data of Rostov Oblast and Krasnodar Krai
开发基于Sentinel-2时序NDVI与BSI指数的水土流失指标检测算法，并在俄罗斯南部实地验证。
GIS-BASED ASSESSMENT OF SOIL EROSION RISK IN GUBI DAM WATERSHED, NORTHEASTERN NIGERIA, USING THE REVISED UNIVERSAL SOIL LOSS EQUATION (RUSLE)
用RUSLE结合GIS和遥感评估尼日利亚Gubi水库流域土壤侵蚀风险并制图。
Application of GIS and Remote Sensing Techniques in Geospatial Mapping of Gully Statuses of an Alfisols in Yola South Local Government Area, Adamawa State
用GIS和遥感技术对尼日利亚Yola South地区20年沟蚀动态进行空间制图与监测。
ҚАЗАҚСТАННЫҢ ОҢТҮСТІК-ШЫҒЫСЫНДАҒЫ ТӘЛІМДІ ЖЕРЛЕРДІҢ ЭРОЗИЯЛЫҚ ҚАУІПТІЛІГІН ҚАШЫҚТАН ЗОНДТАУ ДЕРЕКТЕРІ МЕН RUSLE МОДЕЛІ НЕГІЗІНДЕ БАҒАЛАУ
用RUSLE模型和遥感数据评估哈萨克斯坦东南部耕地土壤侵蚀风险。
Integrated Assessment of Soil Erosion Drivers Using RUSLE, Remote Sensing, and Scenario-Based Machine Learning in a Data-Scarce Watershed of the Chota Nagpur Plateau, Eastern India
结合RUSLE、遥感与情景机器学习，评估印度Chota Nagpur高原缺数据流域的土壤侵蚀驱动因素
Evolution of soil erosion and sediment delivery modelling over six decades: paradigms, limitations and new solutions
分析1075篇文献，梳理六十年土壤侵蚀与泥沙输移模型从集总到分布式的演变。
GIS-Based Multi-Criteria Modelling of Soil Erosion Susceptibility Using AHP in Ikere-Ekiti, Southwestern Nigeria
用GIS与AHP多准则模型评估尼日利亚Ikere-Ekiti地区土壤侵蚀敏感性并划分风险区。
Quantifying soil erosion rates in tropical drylands: An innovative SBAS InSAR and statistical clustering approach in La Tatacoa, Colombia
提出SBAS-InSAR与统计聚类结合的方法，量化哥伦比亚干旱区土壤侵蚀速率并识别热点区域。
大数据研究揭示东北黑土侵蚀沟增长的主要驱动
研究绘制东北侵蚀沟时空演变图谱，发现2000年后沟增长速率整体上升，主要关联规模机械化和高强度耕作，而非耕地大规模扩张。成果可为黑土保护、耕地碎片化治理和粮食安全提供依据。