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Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
Gully erosion is a form of natural disaster and one of the land loss mechanisms causing severe problems worldwide. This study aims to delineate the areas with the most severe gully erosion susceptibility (GES) using the machine learning techniques Random Forest (RF), Gradient Boosted Regression Tree...
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| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085763/ https://ncbi.nlm.nih.gov/pubmed/32121238 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051313 |
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