Dataset of Sentinel-1 surface soil moisture time series at 1 km resolution over Southern Italy
| Autor: | Francesco Mattia, Davide Palmisano, Giuseppe Satalino, Malcolm Davidson, Francesco P. Lovergine, Anna Balenzano |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
Time series Science (General) Computer applications to medicine. Medical informatics R858-859.7 Numerical weather prediction Surface soil moisture Standard deviation Term (time) Short term change detection Time series Short term change detection Synthetic aperture radar (SAR) Q1-390 Hydrology (agriculture) Environmental science Sentinel-1 High resolution Surface soil moisture High resolution Scale (map) Image resolution Water content Change detection Remote sensing Data Article |
| Zdroj: | Data in Brief, Vol 38, Iss, Pp 107345-(2021) Data in brief 38 (2021). doi:10.1016/j.dib.2021.107345 info:cnr-pdr/source/autori:Balenzano A.; Mattia F.; Satalino G.; Lovergine F.P.; Palmisano D.; Davidson M.W.J./titolo:Dataset of Sentinel-1 surface soil moisture time series at 1 km resolution over Southern Italy/doi:10.1016%2Fj.dib.2021.107345/rivista:Data in brief/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:38 Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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