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Dataset of Sentinel-1 surface soil moisture time series at 1 km resolution over Southern Italy.


ABSTRACT: This paper describes the specifications of the surface soil volumetric water content ( Θ ) [m3/m3] product derived from Sentinel-1 (S-1) data and assessed in the study "Sentinel-1 soil moisture at 1 km resolution: a validation study" [1]. The S-1 Θ product consists of Θ mean and standard deviation values at 1 km spatial resolution and is expected to support applications in agriculture and hydrology as well as the Numerical Weather Prediction at regional scale [2]. The retrieval algorithm is a time series based short term change detection that is implemented in the "Soil MOisture retrieval from multi-temporal SAR data" (SMOSAR) code (v2.0). The provided dataset represents an example of the developed S-1 Θ product and consists of a time series of 183 S-1 Θ images over Southern Italy from January 2015 to December 2018. The maps were produced for each ascending S-1 acquisition date on the Relative Orbit Number (RON) 146 and the temporal gap between consecutive maps is 6 days (when both S-1A and S-1B data are available) or 12 days.

SUBMITTER: Balenzano A 

PROVIDER: S-EPMC8429103 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Dataset of Sentinel-1 surface soil moisture time series at 1 km resolution over Southern Italy.

Balenzano Anna A   Mattia Francesco F   Satalino Giuseppe G   Lovergine Francesco P FP   Palmisano Davide D   Davidson Malcolm W J MWJ  

Data in brief 20210904


This paper describes the specifications of the surface soil volumetric water content ( Θ ) [m<sup>3</sup>/m<sup>3</sup>] product derived from Sentinel-1 (S-1) data and assessed in the study "Sentinel-1 soil moisture at 1 km resolution: a validation study" [1]. The S-1 Θ product consists of Θ mean and standard deviation values at 1 km spatial resolution and is expected to support applications in agriculture and hydrology as well as the Numerical Weather Prediction at regional scale [2]. The re  ...[more]

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