SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data

Anna Balenzano, Francesco Mattia, Giuseppe Satalino, Valentijn Pauwels, Paul Snoeij

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

29 Citations (Scopus)


This paper describes and assesses the quality of the algorithm, 'Soil MOisture retrieval from multi-temporal SAR data' (SMOSAR), developed in view of the forthcoming European Space Agency (ESA) Sentinel-1 (S-1) mission. SMOSAR retrieves soil moisture (mv) products at high spatial resolution (i.e. less than 1km) from dense time series of either single (i.e. HH or VV) or dual polarized (i.e. HH+HV or VV+VH) S-1 data. The assessment of the algorithm performance is based on time series of ENVISAT/ASAR data collected over the DEMMIN site (Germany) in 2006 and over the Matera site (Italy) in 2003 and 2005 and RADARSAT-2 data acquired over the Flevoland site (The Netherlands) in 2009. Results indicate that mv can be retrieved with an accuracy of 5% at HH polarization, whereas at VV polarization more investigations are required to provide reliable figure for the retrievable accuracy.

Original languageEnglish
Title of host publicationIGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium 2012 - International Congress Centre, Munich, Germany
Duration: 22 Jul 201227 Jul 2012
Conference number: 32nd (IEEE Conference Proceedings)


ConferenceIEEE International Geoscience and Remote Sensing Symposium 2012
Abbreviated titleIGARSS 2012
Internet address


  • hydrology
  • retrieval algorithm
  • Sentinel-1
  • soil moisture
  • Synthetic Aperture Radar (SAR)

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