Exploiting big geodata in the context of soil moisture retrieval on large areas: the case of the SMOSAR system and SM-Tools
Contributo in Atti di convegno
Data di Pubblicazione:
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.
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Soil moisture; SMOSAR; Geocomputing; Geospatial databases; Geospatial tools
Elenco autori:
Palmisano, Davide; Mattia, Francesco; Satalino, Giuseppe; Lovergine, Francesco; Balenzano, Anna
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