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 S

SUBMITTER: Balenzano A 

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

REPOSITORIES: biostudies-literature