Gridded soil moisture (SM) observations play a crucial role in understanding the hydrologic cycle and in agricultural monitoring. High-resolution (0.1 - 1.0 km) SM products can be derived from Copernicus Sentinel-1 (S-1) Synthetic Aperture Radar (SAR) data that are systematically acquired at a global scale. This paper describes the SM-Tools software framework developed and used over the last ten years to support the scaling up the application of the "Soil moisture retrieval from multi-temporal SAR data" (SMOSAR) code developed at CNR for the SM retrieval. The SM-Tools also support the calibration and validation of the SAR SM products. Besides, the paper introduces the challenges and opportunities that the development of downstream prototype services poses.
Exploiting big geodata in the context of soil moisture retrieval on large areas: the case of the SMOSAR system and SM-Tools
Francesco Paolo Lovergine;Giuseppe Satalino;Davide Palmisano;Anna Balenzano;Francesco Mattia
2023
Abstract
Gridded soil moisture (SM) observations play a crucial role in understanding the hydrologic cycle and in agricultural monitoring. High-resolution (0.1 - 1.0 km) SM products can be derived from Copernicus Sentinel-1 (S-1) Synthetic Aperture Radar (SAR) data that are systematically acquired at a global scale. This paper describes the SM-Tools software framework developed and used over the last ten years to support the scaling up the application of the "Soil moisture retrieval from multi-temporal SAR data" (SMOSAR) code developed at CNR for the SM retrieval. The SM-Tools also support the calibration and validation of the SAR SM products. Besides, the paper introduces the challenges and opportunities that the development of downstream prototype services poses.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
