A comparison of three different electromagnetic scattering models for land surface delay-Doppler maps (DDMs) obtained from global navigation satellite system reflectometry (GNSS-R) along a Cyclone Global Navigation Satellite System (CYGNSS) track in the San Luis Valley, Colorado, USA, is presented. The three models are the analytical Kirchhoff solutions (AKS), the Soil And VEgetation Reflection Simulator (SAVERS), and the improved geometrical optics with topography (IGOT). Common inputs to the three models were defined by using field samples of soil moisture and texture, soil surface roughness measurements, and a digital elevation model (DEM). The resulting peak reflectivity profiles of the models and the CYGNSS data all had a range of 10 dB along the selected track, mainly due to the influence of topography. The reflectivities obtained from all three models agreed with one another to within 2.4 dB along the full length of the track. The models also showed general agreement with the corresponding CYGNSS data, although the modeled profiles were higher than CYGNSS Science Data Record Version 3.1 by an average of 5 dB and also smoother. Additional characterization of fine-scale surface roughness is identified as an area for future work to improve model fidelity. An intercomparison of DDM structure for three selected acquisitions is also provided.

Intercomparison of Electromagnetic Scattering Models for Delay-Doppler Maps along a CYGNSS Land Track with Topography / Campbell, J. D.; Akbar, R.; Bringer, A.; Dente, L.; Gleason, S. T.; Guerriero, L.; Hodges, E.; Johnson, J. T.; Kim, S.; Melebari, A.; Pierdicca, N.; Ruf, C. S.; Tsang, L.; Wang, T.; Xu, H.; Zhu, J.; Moghaddam, M.; Comite, D.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - (2022), pp. 1-13. [10.1109/TGRS.2022.3210160]

Intercomparison of Electromagnetic Scattering Models for Delay-Doppler Maps along a CYGNSS Land Track with Topography

Pierdicca N.;Comite D.
2022

Abstract

A comparison of three different electromagnetic scattering models for land surface delay-Doppler maps (DDMs) obtained from global navigation satellite system reflectometry (GNSS-R) along a Cyclone Global Navigation Satellite System (CYGNSS) track in the San Luis Valley, Colorado, USA, is presented. The three models are the analytical Kirchhoff solutions (AKS), the Soil And VEgetation Reflection Simulator (SAVERS), and the improved geometrical optics with topography (IGOT). Common inputs to the three models were defined by using field samples of soil moisture and texture, soil surface roughness measurements, and a digital elevation model (DEM). The resulting peak reflectivity profiles of the models and the CYGNSS data all had a range of 10 dB along the selected track, mainly due to the influence of topography. The reflectivities obtained from all three models agreed with one another to within 2.4 dB along the full length of the track. The models also showed general agreement with the corresponding CYGNSS data, although the modeled profiles were higher than CYGNSS Science Data Record Version 3.1 by an average of 5 dB and also smoother. Additional characterization of fine-scale surface roughness is identified as an area for future work to improve model fidelity. An intercomparison of DDM structure for three selected acquisitions is also provided.
2022
cyclone global navigation satellite system (CYGNSS); global navigation satellite system reflectometry (GNSS-R); land applications; land surface; optical surface waves; rough surfaces; scattering model; surface roughness; surface topography; surface topography; surface waves; surfaces
01 Pubblicazione su rivista::01a Articolo in rivista
Intercomparison of Electromagnetic Scattering Models for Delay-Doppler Maps along a CYGNSS Land Track with Topography / Campbell, J. D.; Akbar, R.; Bringer, A.; Dente, L.; Gleason, S. T.; Guerriero, L.; Hodges, E.; Johnson, J. T.; Kim, S.; Melebari, A.; Pierdicca, N.; Ruf, C. S.; Tsang, L.; Wang, T.; Xu, H.; Zhu, J.; Moghaddam, M.; Comite, D.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - (2022), pp. 1-13. [10.1109/TGRS.2022.3210160]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1657101
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