Calibration and uncertainty quantification for deep learning-based drought detection
Droughts are hydrometeorological extreme events influenced by highly intricate land–atmosphere feedback mechanisms and climate variability. Deep learning models have recently succeeded in detecting extreme climate events and promise to uncover and understand droughts further. There are two main chal...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-06-01
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| coleção: | International Journal of Applied Earth Observations and Geoinformation |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1569843225002109 |
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