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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2024-12-01
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| Schriftenreihe: | MethodsX |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S2215016124004060 |
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