Impact Factor:8.4
DOI number:10.1109/TGRS.2024.3357528
Journal:IEEE Transactions on Geoscience and Remote Sensing
Key Words:Christiansen Feature; Lunar surface temperature and emissivity; Diviner; Thermal infrared; TES algorithm
Abstract:The lunar surface Christiansen feature (CF), known as a prominent maximum emissivity centered near 8 μm, has been widely used to identify silicate mineral types and estimate their compositions. The Diviner sensor provides global lunar surface observation at three 8-μm CF channels and thus its data have promoted the extraction and mapping of global lunar surface CF. However, the previous studies used the empirical regression (ER) algorithm to extract the CF wavelength (or called CF position) after estimating lunar surface temperature (LST) and emissivity using a three-point parabola approximation, which inevitably leads to uncertainty. The physical temperature-emissivity separation (TES) algorithm was proposed recently by the authors to retrieve lunar surface temperature and emissivity from the Diviner’s three CF channels dataset, on basis of the surface’s physical radiative transfer equation, and therefore, this algorithm provides a promising way to revise the accuracy in the extraction of CF wavelength. From this point of view, this paper firstly illustrates the difference of LST, emissivity and CF wavelength between the TES and ER algorithms, and finds that the TES algorithm got higher accuracy in extracting CF wavelength. Consequently, the global lunar CF wavelengths are extracted from Diviner dataset. Compared to the result from the ER algorithm, the CF wavelength from the TES algorithm is found to be revised in a range of −0.051 μm to 0.372 μm with a bias of 0.02 μm, and its value is generally larger than previous study, indicating that the previous CF wavelength might be underestimated.
Indexed by:Journal paper
Document Code:5001511
Discipline:Natural Science
First-Level Discipline:Geography
Document Type:J
Volume:62
Issue:5001511
Page Number:1-11
Translation or Not:no
Included Journals:EI、SCI
Links to published journals:https://ieeexplore.ieee.org/document/10412187
First Author:Ziwan Wang
Correspondence Author:Huazhong Ren
Date of Publication:2024-01-23