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Proceedings Paper

Intercalibration of SVISSR/FY-2 thermal infrared channels with AIRS/Aqua channels
Author(s): Gengming Jiang; Yaqiu Jin
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Paper Abstract

The intercalibration of the two thermal infrared channels of SVISSR/FY-2 with AIRS/Aqua is developed by using an improved HSC (High Spectral Convolution) method. The improvement of HSC includes two aspects: sub-pixel spatial matching and automatic removing coarse errors of the measurement pairs. According to the viewing geometries of SVISSR/FY-2 and AIRS/Aqua, a study area with the longitude from 41.5°E to 149.5°E and the latitude from 10°S to 10°N is especially selected. To transfer the calibration coefficients from AIRS/Aqua to SVISSR/FY-2, the SVISSR/FY-2 Normalized (NOM) 1B dataset and the AIRS/Aqua 1B infrared data in the months of December 2006, September 2007, December 2007, September 2009 and May 2010 covering the study area are employed and are aggregated into the study area with the spatial resolution of 0.5°×0.5°. The measurement pairs are extracted from the aggregated SVISSR/FY-2 and AIRS/Aqua images under the following conditions: co-location, absolute solar zenith angle difference in the same day less than 2° (|▵SZA|<2°), absolute viewing zenith angle differences less than 3° (|ΔVZA|<3°), and absolute relative azimuth angle differences less than 6° (|▵RAA|<6°). The intercalibration results show that the SVISSR/FY-2 measurements are well linearly correlated with the convolved AIRS/Aqua data. On contrast to AIRS/Aqua channels, the calibration biases exist in two SVISSR/FY-2 thermal infrared channels, and the re-calibration coefficients are presented.

Paper Details

Date Published: 15 August 2011
PDF: 8 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030F (15 August 2011); doi: 10.1117/12.910392
Show Author Affiliations
Gengming Jiang, Fudan Univ. (China)
Yaqiu Jin, Fudan Univ. (China)

Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Qingxi Tong; Xingfa Gu; Boqin Zhu, Editor(s)

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