Is random noise causing a poor correlation between the Lunar Prospector TiO2 data and Clementine UVVIS-color ratio?

Jeffrey J. Gillis; Paul G. Lucey

doi:10.1117/12.579003

30 December 2004 Is random noise causing a poor correlation between the Lunar Prospector TiO₂ data and Clementine UVVIS-color ratio?

Jeffrey J. Gillis, Paul G. Lucey

Author Affiliations +

Proceedings Volume 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing; (2004) https://doi.org/10.1117/12.579003
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

The ability to measure TiO₂ remotely is important for mapping the composition lunar basalt flows globally, and for placing lunar samples into a regional and global geologic context. Comparing Clementine UVVIS-ratio (415/750 nm) with Lunar Prospector derived TiO₂ data, however, yields a less than ideal correlation, which would suggest that either the UVVIS ratio has poor predictive capabilities with respect to TiO₂ composition or poor accuracy of the Lunar Prospector TiO₂ data. Established uncertainties of the Clementine UVVIS data are approximately 1%, while the reported relative errors for Lunar Prospector neutron spectrometer data are on the order of 5%. Thus, we investigate the possibility of whether the greater uncertainty of the Lunar Prospector neutron data could cause the poor correlation between the two data sets. The sensitivity of the TiO₂-UVVIS correlation to data accuracy was measured by adding randomly-distributed noise to the Clementine UVVIS data, and then comparing this modified Clementine data with the “noiseless” Clementine data. The comparison was then evaluated for the level of noise needed to produce a similar amount of scatter observed in the Lunar Prospector TiO₂ and Clementine UVVIS-ratio trend. The results of this study indicate that Lunar Prospector would have to possess significantly more than 5% uncertainty to match the observed poor correlation between Lunar Prospector and Clementine data sets. On this basis, we concluded that algorithms that depend solely upon correlations between UV and visible spectral parameters and TiO₂ concentration have inherently poor predicting power.

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Jeffrey J. Gillis and Paul G. Lucey "Is random noise causing a poor correlation between the Lunar Prospector TiO₂ data and Clementine UVVIS-color ratio?", Proc. SPIE 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing, (30 December 2004); https://doi.org/10.1117/12.579003

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KEYWORDS

Spectroscopy

Reflectivity

Titanium

Soil science

Calibration

Image processing

Imaging systems

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