Comparing Random Forest and Regression Models for Dust Storm Assessment in Kermanshah Province, Iran
Identifying dust sources is essential for effective management. This study employs remote sensing and machine learning techniques, specifically Random Forest Model (RFM) and Multiple Linear Regression (MLR), to identify dust production areas in Kermanshah province from 2000 to 2020. The results indi...
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| Glavni autori: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
OICC Press
2025-07-01
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| Serija: | Anthropogenic Pollution |
| Teme: | |
| Online pristup: | https://oiccpress.com/ap/article/view/17283 |
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