Downscaling ESA CCI soil moisture: from 0.25° to 0.01° using a two-step machine learning approach

Himmer, Thomas; Damm, Carolina; Zappa, Luca; Dorigo, Wouter

doi:10.5194/egusphere-egu24-11026

Datensatz Zitierlink:

http://hdl.handle.net/20.500.12708/197252

Titel:

Downscaling ESA CCI soil moisture: from 0.25° to 0.01° using a two-step machine learning approach

Zitat:

Himmer, T., Damm, C., Zappa, L., & Dorigo, W. (2024). Downscaling ESA CCI soil moisture: from 0.25° to 0.01° using a two-step machine learning approach. In EGU General Assembly 2024. EGU General Assembly 2024, Wien, Austria. EGU. https://doi.org/10.5194/egusphere-egu24-11026

CatalogPlus:

AC17207699

Verlags-DOI:

10.5194/egusphere-egu24-11026

Publikationstyp:

Konferenzbeitrag - Beitrag in einem Abstract Book

Sprache:

Englisch

Autor_innen:

Himmer, Thomas
Damm, Carolina
Zappa, Luca
Dorigo, Wouter

Organisationseinheit:

E120-08 - Forschungsbereich Klima- und Umweltfernerkundung