High-resolution enhanced product based on smap active-passive approach using sentinel 1A and 1B SAR 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: Contribution to journalConference articleOther

2 Citations (Scopus)

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.

Keywords

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

Cite this

Das, Narendra N. ; Entekhabi, Dara ; Kim, Seungbum ; Jagdhuber, Thomas ; Dunbar, Scott ; Yueh, Simon ; O’Neill, P. E. ; Colliander, Andreas ; Walker, Jeffery ; Jackson, Thomas J. / High-resolution enhanced product based on smap active-passive approach using sentinel 1A and 1B SAR data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2018 ; Vol. 42, No. 5. pp. 203-205.
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title = "High-resolution enhanced product based on smap active-passive approach using sentinel 1A and 1B SAR data",
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.",
keywords = "-1B, Active-passive algorithm, And Sentinel-1A, Microwave remote sensing, SMAP, Soil moisture",
author = "Das, {Narendra N.} and Dara Entekhabi and Seungbum Kim and Thomas Jagdhuber and Scott Dunbar and Simon Yueh and O’Neill, {P. E.} and Andreas Colliander and Jeffery Walker and Jackson, {Thomas J.}",
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High-resolution enhanced product based on smap active-passive approach using sentinel 1A and 1B SAR data. / Das, Narendra N.; Entekhabi, Dara; Kim, Seungbum; Jagdhuber, Thomas; Dunbar, Scott; Yueh, Simon; O’Neill, P. E.; Colliander, Andreas; Walker, Jeffery; Jackson, Thomas J.

In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 42, No. 5, 19.11.2018, p. 203-205.

Research output: Contribution to journalConference articleOther

TY - JOUR

T1 - High-resolution enhanced product based on smap active-passive approach using sentinel 1A and 1B SAR data

AU - Das, Narendra N.

AU - Entekhabi, Dara

AU - Kim, Seungbum

AU - Jagdhuber, Thomas

AU - Dunbar, Scott

AU - Yueh, Simon

AU - O’Neill, P. E.

AU - Colliander, Andreas

AU - Walker, Jeffery

AU - Jackson, Thomas J.

PY - 2018/11/19

Y1 - 2018/11/19

N2 - 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.

AB - 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.

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DO - 10.5194/isprs-archives-XLII-5-203-2018

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EP - 205

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

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