Deep Learning and Earth Observation for the Study of West African Rainfall

DOI:10.4121/6e101d26-8067-4455-b465-78ce8f6a601d.v3
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DOI: 10.4121/6e101d26-8067-4455-b465-78ce8f6a601d

Datacite citation style

(2024): Deep Learning and Earth Observation for the Study of West African Rainfall. Version 3. 4TU.ResearchData. collection. https://doi.org/10.4121/6e101d26-8067-4455-b465-78ce8f6a601d.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Collection

Delft University of Technology logo

Categories

Keywords

Geolocation

West Africa
by

This repository contains all research data and code supporting the findings described in the dissertation "Deep Learning and Earth Observation for the Study of West African Rainfall", by M. Estebanez Camarena.

Note 9.12.2024: The data and codes have been uploaded and are being reviewed. This is their link: nQWzcLKKQ-MvZknp1SyduXAl1z-J7ilCQalKAg4kz0E

History

  • 2024-12-09 first online
  • 2024-12-10 published, posted

Publisher

4TU.ResearchData

Organizations

Delft University of Technology

DATASETS