4.7 Article

Intercomparison of Electromagnetic Scattering Models for Delay-Doppler Maps Along a CYGNSS Land Track With Topography

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2022.3210160

关键词

Surface topography; Land surface; Surface roughness; Rough surfaces; Surfaces; Optical surface waves; Surface waves; Cyclone global navigation satellite system (CYGNSS); global navigation satellite system reflectometry (GNSS-R); land applications; scattering model; surface topography

资金

  1. NASA Science Mission Directorate [80NSSC18K0704]
  2. University of Southern California [NNL13AQ00C]
  3. European Space Agency [4000130560/20/NL/FF/gp]
  4. Ohio State University through the University of Michigan [SUBK00016020]

向作者/读者索取更多资源

This study compares three different electromagnetic scattering models for GNSS-R and finds that these models have a certain level of agreement with CYGNSS data in terms of reflectivity and DDM structure. However, the models show slight deviations in elevation and smoothness, indicating a need for further improvement.
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 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.

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