This Algorithm Theoretical Basis Document describes the SENSAGRI algorithm to retrieve near surface soil moisture (SSM) at high resolution (i.e., 0.1 km - 1.0 km) and large scale. The retrieval exploits a short term change detection (STCD) approach that is applied to time series of S1 observations. S2 data are also integrated to overcome, or largely mitigate, some limitations of the STCD approach, which are discussed in the document.
Final SSM Algorithm Theoretical Basis Document (D3.8)
Francesco Mattia;Giuseppe Satalino;Anna Balenzano;Francesco Lovergine;Annarita D'Addabbo
2019
Abstract
This Algorithm Theoretical Basis Document describes the SENSAGRI algorithm to retrieve near surface soil moisture (SSM) at high resolution (i.e., 0.1 km - 1.0 km) and large scale. The retrieval exploits a short term change detection (STCD) approach that is applied to time series of S1 observations. S2 data are also integrated to overcome, or largely mitigate, some limitations of the STCD approach, which are discussed in the document.File in questo prodotto:
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