Chaubell et al. (2026) Consistent Soil Moisture and Vegetation Optical Depth From Relatively Calibrated SMOS Brightness Temperatures With SMAP

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Julian Chaubell, Simon H. Yueh, Andreas Colliander, Akiko Hayashi, Rajat Bindlish, Scott Dunbar, Dara Entekhabi, Jun ASANUMA, Aaron A. Berg, Alisa W. Coffin, Michael Cosh, Gerald Flerchinger, Ann Fortuna, Chandra Holifield Collins, Taras E. Lychuk, José Martínez-Fernández, KAYLA R. MOORE, Zhongbo Su, Judi Walker
• DOI: 10.1109/jstars.2026.3666810

Research Groups

Not available from the provided text.

Short Summary

This paper focuses on achieving consistent retrievals of soil moisture and vegetation optical depth by applying a relative calibration method to SMOS brightness temperatures using SMAP data.

Objective

• To develop a methodology for obtaining consistent soil moisture and vegetation optical depth products from SMOS brightness temperatures through relative calibration with SMAP data.

Study Configuration

• Spatial Scale: Global (implied by satellite missions, but not explicitly stated).
• Temporal Scale: Not specified, but relates to the operational periods of the SMOS and SMAP satellite missions.

Methodology and Data

• Models used: Retrieval algorithms for soil moisture and vegetation optical depth (specific models not detailed in the provided text).
• Data sources: SMOS (Soil Moisture and Ocean Salinity) brightness temperatures, SMAP (Soil Moisture Active Passive) data. Both are satellite-based observations.

Main Results

Not available from the provided text. The title suggests the achievement of "consistent" soil moisture and vegetation optical depth.

Contributions

Not available from the provided text, but likely involves an innovative approach for inter-calibrating satellite microwave radiometer data (SMOS with SMAP) to improve the consistency and quality of derived geophysical products like soil moisture and vegetation optical depth.

Funding

Not available from the provided text.

Citation

@article{Chaubell2026Consistent,
  author = {Chaubell, Julian and Yueh, Simon H. and Colliander, Andreas and Hayashi, Akiko and Bindlish, Rajat and Dunbar, Scott and Entekhabi, Dara and ASANUMA, Jun and Berg, Aaron A. and Coffin, Alisa W. and Cosh, Michael and Flerchinger, Gerald and Fortuna, Ann and Collins, Chandra Holifield and Lychuk, Taras E. and Martínez-Fernández, José and MOORE, KAYLA R. and Su, Zhongbo and Walker, Judi},
  title = {Consistent Soil Moisture and Vegetation Optical Depth From Relatively Calibrated SMOS Brightness Temperatures With SMAP},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3666810},
  url = {https://doi.org/10.1109/jstars.2026.3666810}
}