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

N. N. Das; D. Entekhabi; S. Kim; T. Jagdhuber; S. Dunbar; S. Yueh; P. E. O’Neill; A. Colliander; J. Walker; T. J. Jackson

doi:10.5194/isprs-archives-XLII-5-203-2018

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Nov 2018)

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

N. N. Das,
D. Entekhabi,
S. Kim,
T. Jagdhuber,
S. Dunbar,
S. Yueh,
P. E. O’Neill,
A. Colliander,
J. Walker,
T. J. Jackson

Affiliations

N. N. Das: Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, USA
D. Entekhabi: Massachusetts Institute of Technology, Cambridge, MA, USA
S. Kim: Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, USA
T. Jagdhuber: German Aerospace Center, Microwaves and Radar Institute, Oberpfaffenhofen, Germany
S. Dunbar: Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, USA
S. Yueh: Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, USA
P. E. O’Neill: Goddard Space Flight Center, NASA, Greenbelt, MD, USA
A. Colliander: Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, USA
J. Walker: Monash University, Melbourne, Australia
T. J. Jackson: USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD, USA

DOI: https://doi.org/10.5194/isprs-archives-XLII-5-203-2018
Journal volume & issue: Vol. XLII-5
pp. 203 – 205

Abstract

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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.

Published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISSN: 1682-1750 (Print); 2194-9034 (Online)
Publisher: Copernicus Publications
Country of publisher: Germany
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics
Website: http://www.isprs.org/publications/archives.aspx

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