A SAR Soil MOisture retrieval algorithm inverting the temporal changes of radar backscatter

Francesco Mattia, Anna Balenzano, Giuseppe Satalino, Valentijn Pauwels

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)


This paper describes and assesses the performance of the algorithm "Soil MOisture retrieval from multi-temporal SAR data" (SMOSAR), recently developed in view of the forthcoming European Space Agency Sentinel-1mission. SMOSAR retrieves soil moisture (mv) products at moderate spatial resolution (e.g 1 km) from dense or quasi-dense (i.e. revisit time within 1-2 weeks) time series of SAR data by inverting the temporal changes of the radar backscatter. The algorithm assessment is based on time series of ASAR Wide Swath data over three agricultural sites in Northern and Southern Europe. Results indicate that mv can be retrieved with an accuracy of approximately 6.0% m3/m3.

Original languageEnglish
Title of host publicationProceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014)
Subtitle of host publication2-6 June 2014, Berlin, Germany
EditorsGerhard Krieger
PublisherVDE Verlag
Number of pages4
ISBN (Electronic)9783800736072
Publication statusPublished - 2014
EventEuropean Conference on Synthetic Aperture Radar (EUSAR) 2014 - Berlin, Germany
Duration: 3 Jun 20145 Jun 2014
Conference number: 10th
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6856711 (IEEE Conference Proceedings)


ConferenceEuropean Conference on Synthetic Aperture Radar (EUSAR) 2014
Abbreviated titleEUSAR 2014
Internet address

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