Deep-learning for soil moisture retrieval from Sentinel-1 InSAR data

Authors: Caushi, Andrea
Cited by: 0

Fields of Study & Subjects

Soil Moisture and Remote Sensing Synthetic Aperture Radar (SAR) Applications and Techniques Geophysical Methods and Applications

Publication details

Journal / source
elib (German Aerospace Center)
Publication date
1 March 2026
Document type
Thesis