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Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands, Malaysia. The models were trained with a database of 152 landslides compiled using Synthetic Aperture Radar Interferometry, Goog...
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| Published in: | Int J Environ Res Public Health |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7400293/ https://ncbi.nlm.nih.gov/pubmed/32650595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph17144933 |
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