The objective of this paper is to report on a first assessment of superficial soil moisture (SSM) products retrieved from Sentinel-1A (S-1A) data. The SSM retrieval is obtained by applying the SMOSAR1 algorithm [1-2], which has been devised to exploit the advanced observational capabilities of S-1 mission, particularly its frequent revisit (i.e. exact revisit with 1 satellite of 12 days & 6 days with 2 satellites). The algorithm inverts the temporal changes of radar backscatter rather than the "single date" backscatter values, as it was usually performed on SAR data acquired by past spaceborne systems, whose revisit was too long to enable an effective time series approach.
Initial results on soil moisture retrieval from Sentinel-1 data
F Mattia;G Satalino;A Balenzano
2015
Abstract
The objective of this paper is to report on a first assessment of superficial soil moisture (SSM) products retrieved from Sentinel-1A (S-1A) data. The SSM retrieval is obtained by applying the SMOSAR1 algorithm [1-2], which has been devised to exploit the advanced observational capabilities of S-1 mission, particularly its frequent revisit (i.e. exact revisit with 1 satellite of 12 days & 6 days with 2 satellites). The algorithm inverts the temporal changes of radar backscatter rather than the "single date" backscatter values, as it was usually performed on SAR data acquired by past spaceborne systems, whose revisit was too long to enable an effective time series approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
