Predicting the variability of dam water levels with land-use and climatic factors using random forest and vector autoregression models
In: Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV, 2022
Konferenz
Zugriff:
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Predicting the variability of dam water levels with land-use and climatic factors using random forest and vector autoregression models
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Autor/in / Beteiligte Person: | Ouma, Yashon O. ; Moalahi, Ditiro ; Anderson, George ; Nkwae, Boipuso ; Odirile, Phillimon ; Parida, Bhagabat ; Sebusang, Nako ; Nkgau, Tallman ; Qi, Jiaguo ; Neale, Christopher M. ; Maltese, Antonino |
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Zeitschrift: | Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV, 2022 |
Veröffentlichung: | SPIE, 2022 |
Medientyp: | Konferenz |
DOI: | 10.1117/12.2635933 |
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