High resolution soil moisture product based on SMAP active-passive approach using copernicus sentinel 1 data

Narendra N. Das, Dara Entekhabi, Seungbum Kim, Thomas Jagdhuber, Scott Dunbar, Simon Yueh, P. E. O’Neill, Andreas Colliander, Jeffery Walker, Thomas J. Jackson

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

7 Citations (Scopus)


SMAP project released a new enhanced high-resolution (3km) soil moisture active-passive product. This product is obtained by combining the SMAP radiometer data and the Sentinel-1A and -1B Synthetic Aperture Radar (SAR) data. The approach used for this product draws heavily from the heritage SMAP active-passive algorithm. Modifications in the SMAP active-passive algorithm are done to accommodate the Copernicus Program’s Sentinel-1A and -1B multi-angular C-band SAR data. Assessment of the SMAP and Sentinel active-passive algorithm has been conducted and results show feasibility of estimating surface soil moisture at high-resolution in regions with low vegetation density (~< 3 kg m-2). The beta version of this product is released to public on Nov 1st, 2017. This high resolution (3 km) soil moisture product is useful for agriculture, flood mapping, watershed/rangeland management, and ecological/hydrological applications.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages3
ISBN (Electronic)9781538671504
Publication statusPublished - 31 Oct 2018
EventIEEE International Geoscience and Remote Sensing Symposium 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38th
https://ieeexplore.ieee.org/xpl/conhome/8496405/proceeding (Proceedings)

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)


ConferenceIEEE International Geoscience and Remote Sensing Symposium 2018
Abbreviated titleIGARSS 2018
Internet address


  • -1B
  • Active-passive algorithm
  • And Sentinel-1A
  • Microwave remote sensing
  • SMAP
  • soil moisture

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