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TitleAssessment of VIIRS geolocation at subpixel level using MODIS imagery
AuthorTrishchenko, A PORCID logo
SourceIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; IEEE International Geoscience and Remote Sensing Symposium proceedings 2018, 8519196, 2018 p. 1-4,
Alt SeriesNatural Resources Canada, Contribution Series 20190092
MeetingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; Valencia; ES; July 22-27, 2018
Mediaon-line; digital
File formatpdf (Adobe® Reader®)
Subjectsgeophysics; remote sensing; satellite imagery; infrared spectral analyses; Methodology; Geographic data
Illustrationssatellite images; graphs; sketch maps; time series
ProgramRemote Sensing Science
Released2018 11 05
AbstractThe approach, sensitivity analysis and evaluation results are presented in this study for application of MODIS 250-m imagery to assess the VIIRS/S-NPP image geolocation accuracy at subpixel level. The method employed is based on 4th degree polynomial fitting of the correlation matrix between VIIRS and MODIS reference images in the swath (pixel-line) projection. Sensitivity analysis has shown that the uncertainty from this method is better that ±0.04 of the VIIRS I-band pixel size. Analysis of geolocation accuracy conducted over the 2017 period at semi-monthly intervals has shown that the average geolocation bias for VIIRS/SNPP band I2 was 0.055 (0.003) along (across) the scan directions. Corresponding numbers are 0.028 (-0.003) for band M7.

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