Constructing a Complete Brightness Temperature Dataset of the Moon With Chang'e-2 Microwave Radiometer Data

The Chang'e (CE)-1/2 satellites carried microwave radiometers (MRMs), which supplied unique passive microwave data, supplementing visible, thermal infrared (TIR), and radar data in current lunar studies. However, the application of MRM data is constrained by the limited amount of the original d...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-14
Main Authors: Meng, Zhiguo, Dong, Xuegang, Lei, Jietao, Ping, Jinsong, Cai, Zhanchuan, Zhang, Xiaoping, Huang, Shaopeng, Zhang, Yuanzhi
Format: Article
Language:English
Subjects:
3-D interpolation
Brightness
Brightness temperature
brightness temperature (TB)
Chang’e (CE)-2 mission
Datasets
Delaunay tetrahedralization
Infrared radar
Interpolated mapping
Interpolation
Microwave imagery
microwave radiometer (MRM)
Microwave radiometers
Microwave radiometry
Microwave theory and techniques
Moon
Orbits
Planetary orbits
Radar
Radar data
Radiometers
Space vehicles
Spatial variations
Surface radiation temperature
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Summary:The Chang'e (CE)-1/2 satellites carried microwave radiometers (MRMs), which supplied unique passive microwave data, supplementing visible, thermal infrared (TIR), and radar data in current lunar studies. However, the application of MRM data is constrained by the limited amount of the original dataset, which cannot express spatial variations at given local times. In this study, we present a novel approach to constructing a local-time brightness temperature (TB) model using barycentric interpolation based on Delaunay tetrahedralization. This model enables the generation of a complete TB dataset, producing TB maps that are both continuous and self-consistent in both spatial and temporal domains. Compared to the traditional methods, those generated in this work avoid a ~7-K bias on a global scale. Furthermore, the interpolated maps offer superior representations of the TB over time for various lunar surfaces. The preliminary evaluations on global and regional scales hint important application of MRM data in studying the geological features of the Moon.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2023.3305298