Badland erosion mapping and effective factors on its occurrence using random forest model-Reference-Cited by-同舟云学术

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Badland erosion mapping and effective factors on its occurrence using random forest model

Published:2022 Issue: Volume: Page:577-583
ISSN:
Container-title:Computers in Earth and Environmental Sciences
language:
Short-container-title:

Author:

Mohammady Majid,Pourghasemi Hamid Reza,Yousefi Saleh

Publisher

Elsevier

Reference45 articles.

1. Runoff and soil loss responses to changes in precipitation: a computer simulation study;Pruski;J Soil Water Conserv,2002

2. Multivariate erosion risk assessment of lateritic badlands of Birbhum (West Bengal, India): a case study;Ghosh;J Earth Syst Sci,2012

3. Soil Erosion and Conservation;Morgan,2005

4. Soil loss estimation by field measurements in the Badlands along Pravara River (Western India);Joshi;J Geol Soc India,2014

5. Land degradation risk assessment in Al-Sawda terraces;Abdallah;Kingdom Saudi Arabia Arab J Geosci,2018

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1. Assessment of badland susceptibility and its governing factors using a random forest approach. Application to the Upper Llobregat River Basin and Catalonia (Spain);Environmental Research;2023-11

2. Gully Erosion Susceptibility Assessment Using Different Machine Learning Algorithms: A Case Study of Shazand Watershed in Iran;Environmental Modeling & Assessment;2023-07-04

3. Badland erosion susceptibility mapping using machine learning data mining techniques, Firozkuh watershed, Iran;Natural Hazards;2023-02-22

4. Cropping Patterns for Phenology Stability and Resource Conservation Under Extreme Climates;2023

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