EGU25-14818, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-14818
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
A Machine Learning Framework for Post-processing Satellite Observations of Soil Moisture in Urban Areas
- 1Civil and Environmental Engineering Department, Florida State University, TALLAHASSEE, United States of America (eahmadisharaf@eng.famu.fsu.edu)
- 2Department of Civil Engineering, University of Zanjan, Zanjan, Iran (shayeghi1379@gmail.com)
- 3School of Sustainability, Arizona State University, Tempe, AZ, USA (Elizaveta.Litvak@asu.edu)
- 4Department of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA (hmoradkhani@ua.edu)
How to cite: Ahmadisharaf, E., Shayeghi, S., Litvak, E., Rahimi, L., and Moradkhani, H.: A Machine Learning Framework for Post-processing Satellite Observations of Soil Moisture in Urban Areas, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14818, https://doi.org/10.5194/egusphere-egu25-14818, 2025.