GAM4water: An R-based method for extracting wetted areas from remotely-sensed images
We present ‘GAM4water,’ a R-based method to classify wetted and non-wetted (dry) areas using remotely sensed image indices derived from such images. The GAM4water classification algorithm is built around a Generalized Additive Model (GAM) capable of accounting for non-linear responses. GAM4water can...
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| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-12-01
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| Seri Bilgileri: | MethodsX |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2215016124004060 |
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