Soil erosion quantification using machine learning in sub-watersheds of northern portugal

HIGHLIGHTS

• who: Saulo Folharini et al. from the Communication and Society Research Centre, University of Minho, Guimaru00e3es, Portugal have published the article: Soil Erosion Quantification using Machine Learning in Sub-Watersheds of Northern Portugal, in the Journal: Hydrology 2023, 10, 7. of /2023/
• what: This study evaluated the performance of machine learning models specifically support vector machine with linear kernel (SVMLinear) support vector machine with polynomial kernel (SVMPoly) and random forest (RF) on identifying indicators of soil erosion in 761 sub-watersheds and PA in Portugal by using soil erosion by water in Europe according to . . .
  

   

  

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