Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 203–205, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 203–205, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

HIGH-RESOLUTION ENHANCED PRODUCT BASED ON SMAP ACTIVE-PASSIVE APPROACH USING SENTINEL 1A AND 1B SAR DATA

N. N. Das1, D. Entekhabi2, S. Kim1, T. Jagdhuber3, S. Dunbar1, S. Yueh1, P. E. O’Neill4, A. Colliander1, J. Walker5, and T. J. Jackson6 N. N. Das et al.
  • 1Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, USA
  • 2Massachusetts Institute of Technology, Cambridge, MA, USA
  • 3German Aerospace Center, Microwaves and Radar Institute, Oberpfaffenhofen, Germany
  • 4Goddard Space Flight Center, NASA, Greenbelt, MD, USA
  • 5Monash University, Melbourne, Australia
  • 6USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD, USA

Keywords: soil moisture, microwave remote sensing, active-passive algorithm, SMAP, and Sentinel-1A and -1B

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.