Integral Equation Model of the Martian Surface Layer for the Detection of Buried Ice Deposits in Support of the International Ice Mapping Mission Synthetic Aperture Radar
- Resource Type
- Conference
- Authors
- Rincon, Rafael F.; Garvin, James B.; Hollibaugh-Baker, David; Lang, Roger H.; Yang, Jiaxing
- Source
- IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :1983-1986 Jul, 2022
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Solid modeling
Surface waves
Integral equations
Radar scattering
Nonhomogeneous media
Mathematical models
Ice
IEM
Martian ice
Regolith
SAR
- Language
- ISSN
- 2153-7003
We implemented a 3-D electromagnetic scattering model to gain a better understanding in the observations of L- and P-band radar returns from the multi-layered Martian upper surface layer. The model, based on the Integral Equation Model (IEM) developed by Adrian Fung, treats the Martian regolith (upper 10-meter layer of surface sediments) as an inhomogeneous medium with irregular boundaries, and employs surface and shallow subsurface parameters representative of a variety of Martian terrains. The model is well-suited to study the near-subsurface ice detection capability of the L-band (32 cm wavelength) Synthetic Aperture Radar (SAR) planned for the international Mars Ice Mapping (I-MIM) mission being considered for launching in the late 2020s.