The availability of dense time series of C-band SAR data acquired by the Sentinel-1 system enables the use of new and more robust approaches for surface soil moisture (SSM) retrieval from SAR data. This has been demonstrated in the validation study D2.8, where maps at ~1 km resolution have been assessed. These maps may have a large scientific and operational relevance for a number of applications, including numerical weather prediction, watershed management, runoff prediction, estimation of evapotranspiration, flood forecasting etc., as reported in D1.1. The objective of this deliverable is to draw up a Scientific Roadmap identifying research priorities for future S-1 data exploitation for SSM uptake of operational service. Challenge areas and open issues are also underlined.
Scientific Roadmap (D3.1)
F Mattia;G Satalino;F Lovergine;A Balenzano;
2019
Abstract
The availability of dense time series of C-band SAR data acquired by the Sentinel-1 system enables the use of new and more robust approaches for surface soil moisture (SSM) retrieval from SAR data. This has been demonstrated in the validation study D2.8, where maps at ~1 km resolution have been assessed. These maps may have a large scientific and operational relevance for a number of applications, including numerical weather prediction, watershed management, runoff prediction, estimation of evapotranspiration, flood forecasting etc., as reported in D1.1. The objective of this deliverable is to draw up a Scientific Roadmap identifying research priorities for future S-1 data exploitation for SSM uptake of operational service. Challenge areas and open issues are also underlined.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
