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Analysis of CYGNSS Data for Soil Moisture Retrieval
Abstract
Data from the CYGNSS mission, originally conceived to monitor tropical cyclones, are being investigated here for land applications as well. In this paper, a methodology for soil moisture (SM) retrieval from CYGNSS data is presented. The approach derives Level 3 gridded daily SM estimations, over the latitudinal band covered by CYGNSS, at a resolution of 36 km × 36 km, using the CYGNSS reflectivity over land, coupled with ancillary vegetation and roughness information from the SMAP mission. The results are compared globally with SM measurements from SMAP, which are assumed to be ground truth, showing a good agreement, and a global root-mean-square difference of 0.07 cm3/cm3. A more extensive comparison is performed over two test regions-Texas in the United States and New South Wales in Australia-where reference data from SMAP are complemented with measurements from the SMOS mission. The results over both regions are generally consistent with the global results, and a good agreement is observed between CYGNSS and reference SM measurements from SMAP and SMOS. The study demonstrates that SM can be successfully retrieved from the CYGNSS mission on a global scale and using ancillary information about the overlying vegetation and the characteristics of the soil. The results open up further future perspectives for global, high-resolution SM products from spaceborne Global Navigation Satellite System-Reflectometry data.
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Bistatic radar data contains signatures that have been used for wide-ranging Earth Science applications, including measuring ocean surface wind speeds, soil moisture, inland water body mapping, river width and surface slope estimation.
“The bistatic radar data contains signatures that have been used for wide-ranging Earth Science applications, including measuring ocean surface wind speeds [4], soil moisture [5][6][7], inland water body mapping [8][9][10][11][12][13][14][15], and river width [16] and surface slope [17] estimation.”
From Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry (2024) · cites this paper as [7]
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Cited by
Sorted by citations
Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry
Warnock, A., Ruf, C. S., & Knoll, A. L. (2024) · Remote Sensing · doi:10.3390/rs16081446 · Cited by 4
Metadata
- Authors
- Clarizia, M. P., Pierdicca, N., Costantini, F., & Floury, N.
- Venue
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Published
- 2019-07
- Volume
- 12
- Issue
- 7
- Pages
- 2227-2235
- ISSN
- 1939-1404
- 2151-1535
- Cited by
- 277
- References
- 0
- Licence
- Funders
- European Space Agency
- Potentials of Spaceborne GNSS-R over Land (4000120299/17/NL/AF/hh)
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