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TitleSpectral band difference effects on radiometric cross-calibration between multiple satellite sensors in the Landsat solar-reflective spectral domain
 
AuthorTeiltet, P M; Fedosejevs, G; Thome, K J
SourceProceedings of SPIE, the International Society of Optical Engineering vol. 5570, 34, 2004 p. 307-316, https://doi.org/10.1117/12.562709
Year2004
Alt SeriesNatural Resources Canada, Contribution Series 20181514
PublisherSPIE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramCanada Centre for Remote Sensing Divsion
AbstractThis paper reports on an investigation of radiometric calibration errors due to differences in spectral response functions between satellite sensors when attempting cross-calibration based on near-simultaneous imaging of common ground targets in analogous spectral bands. Five Earth observation sensors on three satellite platforms were included on the basis of their overpass times being within 45 minutes of each other on the same day (Landsat-7 ETM+; EO-1 ALI; Terra MODIS; Terra ASTER; Terra MISR). The simulation study encompassed spectral band difference effects (SBDE) on cross-calibration between all combinations of the sensors considered, using the Landsat solar reflective spectral domain as a framework. Scene content was simulated using ground target spectra for the calibration test sites at Railroad Valley Playa, Nevada and Niobrara Grassland, Nebraska. Results were obtained as a function of calibration test site, satellite sensor, and spectral region. Overall, in the absence of corrections for SBDE, the Railroad Valley Playa site is a "good" to "very good" ground target for cross-calibration between most but not all satellite sensors considered in most but not all spectral regions investigated. "Good" and "Very good" are defined as SBDEs within +/- 3% and +/- 1%, respectively. Without SBDE corrections, the Niobrara test site is only "good" for cross-calibration between certain sensor combinations in some spectral regions. The paper includes recommendations for spectral data and tools that would facilitate cross-calibration between multiple satellite sensors.
GEOSCAN ID311869

 
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