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TitlePotential of Getis statistics to characterize the radiometric uniformity and stability of test sites used for the calibration of Earth observation sensors
 
AuthorBannari, A; Omari, K; Teillet, P M; Fedosejevs, G
SourceIEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) vol. 43, issue 12, 2005 p. 2918-2926, https://doi.org/10.1109/TGRS.2005.857913
Year2005
Alt SeriesEarth Sciences Sector, Contribution Series 2005745
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
AreaLunar Lake Playa; Nevada; United States of America
Subjectsremote sensing; statistics; satellites; Earth Observation Satellites
Illustrationssketch maps; photographs; satellite images; bar graphs
AbstractThe calibration of airborne and satellite remote sensing sensors is a fundamental step for the rigorous validation of products derived from satellite data. Because of the inaccessibility of Earth Observation Satellites on orbit, the direct calibration method based on a test site with ground reference data is often considered necessary. However, the problem of radiometric spatial uniformity and temporal stability of test sites constitutes an important issue in the accuracy achieved in calibration operations and the long-term characterization of satellite sensor radiometry. Generally, the coefficient of variation and semivariograms are the most widely used tools for evaluating the radiometric uniformity and stability of a calibration site. In this study, we analyze for the first time the potential of Getis statistics compared to the coefficient of variation for the study of the radiometric spatial uniformity and temporal stability of the Lunar Lake Playa, Nevada (LLPN) test site. The results obtained show the potential and the importance of the synergy generated by these two methods for analyzing the radiometric temporal stability of the LLPN site. Getis statistics provide an excellent spatial analysis of the site while the coefficient of variation provides complementary information on the temporal evolution of the site.
GEOSCAN ID221836

 
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