ID:
technologies-870
Name:
Soil Moisture Retrieval Model
Technology:
Machine Learning, Semiempirical Models
Type:
Soil Moisture Retrieval
Data used as input:
Sentinel-1 Backscatter and Interferometric Coherence
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models
Paper DOI (if available):
10.1109/jstars.2023.3339616
Project ID (if available):
823965
Project Acronym (if available):
ACCWA
Service description:
Retrieves soil moisture from Sentinel-1 data.
