Soil erosion assessment using the RUSLE model for better planning: a case study from Morocco

Author:

Okacha AbdelmonaimORCID,Salhi AdilORCID,Arari Khalid,El Badaoui Kamal,Lahrichi Kamal

Funder

National Center for Scientifc and Technical Research (CNRST) Rabat, Morocco.

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Reference45 articles.

1. Alewell C, Borrelli P, Meusburger K, Panagos P (2019) Using the USLE: Chances, challenges and limitations of soil erosion modelling. Int Soil Water Conserv Res 7:203–225

2. Amundson R, Berhe AA, Hopmans JW, Olson C, Sztein AE, Sparks DL (2015) Soil and human security in the 21st century. Science 348:1261071

3. Arrebei N, Sabir M, Naimi M, Chikhaoui M, Raclot D (2019) Reconstitution des données historiques et diagnostic de l’état actuel des aménagements antiérosifs dans le bassin versant Nekor. Revue Marocaine Des Sciences Agronomiques Et Vétérinaires 7:313–322

4. Aswathi J, Sajinkumar KS, Rajaneesh A, Oommen T, Bouali EH, Binoj Kumar RB, Rani VR, Thomas J, Thrivikramji KP, Ajin RS (2022) Furthering the precision of RUSLE soil erosion with PSInSAR data: an innovative model. Geocarto Int. https://doi.org/10.1080/10106049.2022.2105407

5. Badraoui M (2006) Connaissance et utilisation des ressources en sol au Maroc. Rapport thématique, pp 91–117

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