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

Record link:

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

Title:

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

Citation:

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

Publisher DOI:

10.5194/egusphere-egu24-11026

Publication Type:

Inproceedings - Abstract Book Contribution

Language:

English

Authors:

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

Organisational Unit:

E120-08 - Forschungsbereich Klima- und Umweltfernerkundung