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A New Method for Calculating C Factor When Projecting Future Soil Loss Using the Revised Universal Soil Loss Equation (Rusle) in Semi-Arid Environments

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Integrated RUSLE-machine learning modeling for water erosion risk assessment under climate change in a Mediterranean semi-arid region: a comparison of LR, SVM, and RF models
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RUSLE model insights for soil conservation and sustainable land use in semiarid environments
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Data-Driven Prediction of Water Erosion Risk Zones in the Safsaf Watershed: a RUSLE-Machine Learning Integration
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Estimation of soil erosion risk and vulnerable zone using the revised universal soil loss equation and geographic information system approaches
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Unveiling the spatial variability of different vegetation indices in land management factor of RUSLE and RUSLE-SDR model in tropical river basin
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