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

Abstract

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
Pages3768-3770
Number of pages3
ISBN (Electronic)9781538671504
DOIs
Publication statusPublished - 31 Oct 2018
EventIEEE International Geoscience and Remote Sensing Symposium 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38th

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2018
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18

Keywords

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

Cite this

Das, N. N., Entekhabi, D., Kim, S., Jagdhuber, T., Dunbar, S., Yueh, S., O’Neill, P. E., Colliander, A., Walker, J., & Jackson, T. J. (2018). High resolution soil moisture product based on SMAP active-passive approach using copernicus sentinel 1 data. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 3768-3770). [8518932] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2018.8518932