Evaluation of Spire GNSS-R reflectivity from multiple GNSS constellations for soil moisture estimation

Earth sciences & physical geography
Space science, astronomy & astrophysics
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Setti, PauloT.; Unilu - University of Luxembourg [LU] > Department of Engineering > Geophysics and Remote Sensing (GRS)

TABIBI, Sajad ; Unilu - University of Luxembourg [LU] > Department of Engineering > Geophysics and Remote Sensing (GRS)

External co-authors :

Language :

English

Title :

Evaluation of Spire GNSS-R reflectivity from multiple GNSS constellations for soil moisture estimation

Publication date :

2023

Journal title :

International Journal of Remote Sensing

ISSN :

0143-1161

eISSN :

1366-5901

Publisher :

Taylor & Francis

Volume :

Issue :

Pages :

6422-6441

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Computational Sciences
Sustainable Development

Development Goals :

13. Climate action

Additional URL :

https://doi.org/10.1080/01431161.2023.2270108

Available on ORBilu :

since 03 November 2023

Statistics

Number of views

130 (16 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

Al-Khaldi, M. M., J. T. Johnson, A. J. O’Brien, A. Balenzano, and F. Mattia. 2019. “ Time-Series Retrieval of Soil Moisture Using CYGNSS.” IEEE Transactions on Geoscience and Remote Sensing 57 (7): 4322–4331. https://doi.org/10.1109/TGRS.2018.2890646.
Brocca, L., L. Ciabatta, C. Massari, S. Camici, and A. Tarpanelli. 2017. “ Soil Moisture for Hydrological Applications: Open Questions and New Opportunities.” Water 9 (2): 140. https://doi.org/10.3390/w9020140.
Brodzik, M. J., B. Billingsley, T. Haran, B. Raup, and M. H. Savoie. 2012. “ EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets.” ISPRS International Journal of Geo-Information 1 (1): 32–45. https://doi.org/10.3390/ijgi1010032.
Buendía, R. N., S. Tabibi, and M. Talpe. 2022. “ Preliminary GNSS-R Altimetry in the Hudson Bay Based on Spire Grazing Angle Measurements.” In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 7135–7138. https://doi.org/10.1109/IGARSS46834.2022.9883079.
Buendía, R. N., S. Tabibi, M. Talpe, and I. Otosaka. 2023. “ Ice Sheet Height Retrievals from Spire Grazing Angle GNSS-R.” Remote Sensing of Environment 297: 113757. https://doi.org/10.1016/j.rse.2023.113757.
Carreno-Luengo, H., G. Luzi, and M. Crosetto. 2018. “ Sensitivity of Cygnss Bistatic Reflectivity and Smap Microwave Radiometry Brightness Temperature to Geophysical Parameters Over Land Surfaces.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (1): 107–122. https://doi.org/10.1109/JSTARS.2018.2856588.
Chan, S. K., R. Bindlish, P. O’Neill, T. Jackson, E. Njoku, S. Dunbar, J. Chaubell, et al. 2018. “ Development and Assessment of the Smap Enhanced Passive Soil Moisture Product.” Remote Sensing of Environment 204: 931–941. https://doi.org/10.1016/j.rse.2017.08.025
Chew, C. C., and E. E. Small. 2018. “ Soil Moisture Sensing Using Spaceborne GNSS Reflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture.” Geophysical Research Letters 45 (9): 4049–4057. https://doi.org/10.1029/2018GL077905.
Chew, C., and E. Small. 2020. “ Description of the UCAR/CU Soil Moisture Product.” Remote Sensing 12, 1558. https://doi.org/10.3390/rs12101558.
Clarizia, M. P., N. Pierdicca, F. Costantini, and N. Floury. 2019. “ Analysis of CYGNSS Data for Soil Moisture Retrieval.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (7): 2227–2235. https://doi.org/10.1109/JSTARS.2019.2895510.
CYGNSS. 2020a. “ Cygnss Level 1 Science Data Record Version 3.0. Ver. 3.0. Po.Daac, Ca, Usa.” https://doi.org/10.5067/CYGNS-L1X30.
CYGNSS. 2020b. “ Cygnss Level 3 Soil Moisture from Ucar/Cu Version 1.0. Ver. 1.0. Po.Daac, Ca, Usa.” https://doi.org/10.5067/CYGNU-L3SM1.
De Roo, R. D., and F. T. Ulaby. 1994. “ Bistatic Specular Scattering from Rough Dielectric Surfaces.” IEEE Transactions on Antennas and Propagation 42 (2): 220–231. https://doi.org/10.1109/8.277216.
Entekhabi, D., E. G. Njoku, P. E. O’Neill, K. H. Kellogg, W. T. Crow, W. N. Edelstein, J. K. Entin, et al. 2010. “ The Soil Moisture Active Passive (SMAP) Mission.” Proceedings of the IEEE 98 (5): 704–716. https://doi.org/10.1109/JPROC.2010.2043918.
Eroglu, O., M. Kurum, D. Boyd, and A. C. Gurbuz. 2019. “ High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks.” Remote Sensing 11 (19): 2272. https://doi.org/10.3390/rs11192272.
Freeman, V., P. Jales, S. Esterhuizen, V. Irisov, J. Cartwright, and D. Masters. 2021. “ Inter-Comparison of GNSS-Reflectometry Measurements from Cygnss and Spire’s Satellites with Smap Soil Moisture Product.” In EGU General Assembly Conference Abstracts, Virtual, pp. EGU21–15123.
Freeman, V., D. Masters, P. Jales, S. Esterhuizen, E. Ebrahimi, V. Irisov, and K. Ben Khadhra. 2020. “ Earth Surface Monitoring with Spire’s New GNSS Reflectometry (GNSS-R) Cubesats.” In EGU General Assembly Conference Abstracts, Virtual, p. 13766.
Fuks, I. 2001. “ Wave Diffraction by a Rough Boundary of an Arbitrary Plane-Layered Medium.” IEEE Transactions on Antennas and Propagation 49 (4): 630–639. https://doi.org/10.1109/8.923325.
Garrison, J., V. U. Zavorotny, A. Egido, K. M. Larson, F. Nievinski, A. Mollfulleda, G. Ruffini, F. Martin, and C. Gommenginger. 2020. “ GNSS Reflectometry for Earth Remote Sensing.” In Position, Navigation, and Timing Technologies in the 21st Century, edited by Y. T. J. Morton, F. Diggelen, J. J. Spilker, B. W. Parkinson, S. Lo, and G. Gao, 1 ed., 1015–1114. Wiley. https://doi.org/10.1002/9781119458449.ch34
Gleason, S., A. O’Brien, A. Russel, M. M. Al-Khaldi, and J. T. Johnson, 2020. “ Geolocation, Calibration and Surface Resolution of CYGNSS GNSS-R Land Observations.” Remote Sensing 12, 1317. https://doi.org/10.3390/rs12081317.
Guerriero, L., N. Pierdicca, A. Egido, M. Caparrini, S. Paloscia, E. Santi, and N. Floury. 2013. “ Modeling of the GNSS-R Signal as a Function of Soil Moisture and Vegetation Biomass.” In 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, IEEE. pp. 4050–4053. https://doi.org/10.1109/IGARSS.2013.6723722.
Hirt, C., and M. Rexer. 2015. “ Earth2014: 1 Arc-Min Shape, Topography, Bedrock and Ice-Sheet Models–Available as Gridded Data and Degree-10,800 Spherical Harmonics.” International Journal of Applied Earth Observation and Geoinformation 39: 103–112. https://doi.org/10.1016/j.jag.2015.03.001.
Hodges, E., R. Akbar, C. Chew, E. Small, M. Al-Khaldi, J. Johnson, F. Lei, et al. 2023. “ An Assessment and Intercomparison of Cygnss Soil Moisture Products.” In URSI National Radio Science Meeting, Boulder, CO, USA, Boulder, CO.
Jales, P., V. Irisov, S. Esterhuizen, and D. Masters. 2021. “ Plans for Long-Term Operational Sea State Monitoring by the Spire GNSS-R Nanosatellite Constellation.” In 2nd Sea State User Consultation Meeting, Virtual.
Jia, Y., S. Jin, H. Chen, Q. Yan, P. Savi, Y. Jin, and Y. Yuan. 2021. “ Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression with a Preclassification Approach.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 4879–4893. https://doi.org/10.1109/JSTARS.2021.3076470.
Karthikeyan, L., M. Pan, N. Wanders, D. N. Kumar, and E. F. Wood. 2017. “ Four Decades of Microwave Satellite Soil Moisture Observations: Part 1. A Review of Retrieval Algorithms.” Advances in Water Resources 109: 106–120. https://doi.org/10.1016/j.advwatres.2017.09.006.
Loria, E., A. O’Brien, V. Zavorotny, B. Downs, and C. Zuffada. 2020. “ Analysis of Scattering Characteristics from Inland Bodies of Water Observed by Cygnss.” Remote Sensing of Environment 245: 111825. https://doi.org/10.1016/j.rse.2020.111825.
McColl, K. A., S. H. Alemohammad, R. Akbar, A. G. Konings, S. Yueh, and D. Entekhabi. 2017. “ The Global Distribution and Dynamics of Surface Soil Moisture.” Nature Geoscience 10 (2): 100–104. https://doi.org/10.1038/ngeo2868.
Mironov, V., L. Kosolapova, and S. Fomin. 2009. “ Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils.” IEEE Transactions on Geoscience and Remote Sensing 47 (7): 2059–2070. https://doi.org/10.1109/TGRS.2008.2011631.
Ochsner, T. E., M. H. Cosh, R. H. Cuenca, W. A. Dorigo, C. S. Draper, Y. Hagimoto, Y. H. Kerr, et al. 2013. “ State of the Art in Large-Scale Soil Moisture Monitoring.” Soil Science Society of America Journal 77 (6): 1888–1919. https://doi.org/10.2136/sssaj2013.03.0093.
O’Neill, P., R. Bindlish, S. Chan, E. Njoku, and T. Jackson. 2018. California Institute of Technology: Jet Propulsion Laboratory. https://smap.jpl.nasa.gov/system/internal_resources/details/original/484_L2_SM_P_ATBD_rev_F_final_Aug2020.pdf.
Pavlis, N. K., S. A. Holmes, S. C. Kenyon, and J. K. Factor. 2012. “ The Development and Evaluation of the Earth Gravitational Model 2008 (Egm2008).” Journal of Geophysical Research: Solid Earth 117 117 (B4). https://doi.org/10.1029/2011JB008916.
Pekel, J., A. Cottam, N. Gorelick, and A. Belward. 2016. “ High-Resolution Mapping of Global Surface Water and Its Long-Term Changes.” Nature 540 (7633): 418–422. https://doi.org/10.1038/nature20584.
Peng, J., C. Albergel, A. Balenzano, L. Brocca, O. Cartus, M. H. Cosh, W. T. Crow, et al. 2021. “ A Roadmap for High-Resolution Satellite Soil Moisture Applications–Confronting Product Characteristics with User Requirements.” Remote Sensing of Environment 252: 112162. https://doi.org/10.1016/j.rse.2020.112162.
Roberts, M., I. Colwell, C. Chew, R. Shah, and S. Lowe. 2021. “ A Deep Learning Approach to Soil Moisture Estimation with GNSS-R.” https://doi.org/10.36227/techrxiv.15068031.v1.
Ruf, C. S., R. Atlas, P. S. Chang, M. P. Clarizia, J. L. Garrison, S. Gleason, S. J. Katzberg, et al. 2016. “ New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection.” Bulletin of the American Meteorological Society 97 (3): 385–395. https://doi.org/10.1175/BAMS-D-14-00218.1
Ruf, C., M. Unwin, J. Dickinson, R. Rose, D. Rose, M. Vincent, and A. Lyons. 2013. “ CYGNSS: Enabling the Future of Hurricane Prediction [Remote Sensing Satellites].” IEEE Geoscience and Remote Sensing Magazine 1 (2): 52–67. https://doi.org/10.1109/MGRS.2013.2260911.
Senyurek, V., F. Lei, D. Boyd, A. C. Gurbuz, M. Kurum, and R. Moorhead. 2020. “ Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates Against SMAP Observations.” Remote Sensing 12 (21): 3503. https://doi.org/10.3390/rs12213503.
Senyurek, V., F. Lei, D. Boyd, M. Kurum, A. C. Gurbuz, and R. Moorhead. 2020. “ Machine Learning-Based CYGNSS Soil Moisture Estimates Over ISMN Sites in CONUS.” Remote Sensing 12, 1168. https://doi.org/10.3390/rs12071168.
Setti, P. D. T., S. Tabibi, and T. Van Dam, 2022. “ CYGNSS GNSS-R Data for Inundation Monitoring in the Brazilian Pantanal Wetland.” In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 5531–5534. https://doi.org/10.1109/IGARSS46834.2022.9883409.
Smith, A. B., J. P. Walker, A. W. Western, R. I. Young, K. M. Ellett, R. C. Pipunic, R. B. Grayson, L. Siriwardena, F. H. S. Chiew, and H. Richter. 2012. “ The Murrumbidgee Soil Moisture Monitoring Network Data Set: DATA and ANALYSIS NOTE.” Water Resources Research 48 (7). https://doi.org/10.1029/2012WR011976.
SU, S. L., D. Singh, and M. Shojaei Baghini. 2014. “ A Critical Review of Soil Moisture Measurement.” Measurement 54: 92–105. https://doi.org/10.1016/j.measurement.2014.04.007.
Unwin, M. J., N. Pierdicca, E. Cardellach, K. Rautiainen, G. Foti, P. Blunt, L. Guerriero, E. Santi, and M. Tossaint. 2021. “ An Introduction to the HydroGnss GNSS Reflectometry Remote Sensing Mission.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 6987–6999. https://doi.org/10.1109/JSTARS.2021.3089550.
Wang, T., C. S. Ruf, S. Gleason, A. J. O’Brien, D. S. McKague, B. P. Block, and A. Russel. 2021. “ Dynamic Calibration of GPS Effective Isotropic Radiated Power for GNSS-Reflectometry Earth Remote Sensing.” IEEE Transactions on Geoscience and Remote Sensing, 1–12 https://doi.org/10.1109/TGRS.2021.3070238.
Young, R., J. Walker, N. Yeoh, A. Smith, K. Ellett, and A. Western. 2008. “ Soil Moisture and Meteorological Observations From the Murrumbidgee Catchment.” The University of Melbourne: Department of Civil and Environmental Engineering. https://www.researchgate.net/publication/267832777_Soil_Moisture_and_Meteorological_Observations_From_the_Murrumbidgee_Catchment.
Yueh, S. H., R. Shah, M. J. Chaubell, A. Hayashi, X. Xu, and A. Colliander. 2020. “ A Semiempirical Modeling of Soil Moisture, Vegetation, and Surface Roughness Impact on Cygnss Reflectometry Data.” IEEE Transactions on Geoscience and Remote Sensing 60: 1–17. https://doi.org/10.1109/TGRS.2020.3035989.
Zavorotny, V. U., S. Gleason, E. Cardellach, and A. Camps. 2014. “ Tutorial on Remote Sensing Using GNSS Bistatic Radar of Opportunity.” IEEE Geoscience and Remote Sensing Magazine 2 (4): 8–45. https://doi.org/10.1109/MGRS.2014.2374220.