Yang Hongyan, Li Jiaguo, Zhu Li, Yin Yaqiu, Zhang Yonghong, Lei Qiuliang, Chen Yijin. Calibration and analysis of HJ-1B/IRS thermal infrared channel based on the historical data[J]. Infrared and Laser Engineering, 2016, 45(3): 304004-0304004(5). doi: 10.3788/IRLA201645.0304004
| Citation:
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Yang Hongyan, Li Jiaguo, Zhu Li, Yin Yaqiu, Zhang Yonghong, Lei Qiuliang, Chen Yijin. Calibration and analysis of HJ-1B/IRS thermal infrared channel based on the historical data[J]. Infrared and Laser Engineering, 2016, 45(3): 304004-0304004(5). doi: 10.3788/IRLA201645.0304004
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Calibration and analysis of HJ-1B/IRS thermal infrared channel based on the historical data
- 1.
Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;
- 2.
Satellite Environment Center,Ministry of Environmental Protection,Beijing 100094,China;
- 3.
Institute of Agricultural Resources and Regional Planning,CAAS,Beijing 100081,China;
- 4.
China University of Mining & Technology(Beijing),Beijing 100083,China
- Received Date: 2015-07-10
- Rev Recd Date:
2015-08-13
- Publish Date:
2016-03-25
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Abstract
To obtain the absolute radiation calibration coefficient of IRS B08 in 2013,TERRA/MODIS was used as the reference sensor, Qinghai lake was taken as the research object, twin-channel difference model was applied to cross-calibration. By comparing the influence of different observation angles and different of imaging receiving time on calibration precision, it can be concluded that the best cross-calibration condition is the observation angle within 30 and the difference of imaging receiving time about 1 hour. Under this condition, calibration accuracy of regression fitting is the highest. According to the precision verification using satellite-ground synchronous experiment data around Ningde area on 26, October, 2013, result shows that error of apparent radiance and brightness temperature is within 0.02 Wm-2m-1sr-1 and 0.15℃ respectively. Besides, compared with the historical calibration coefficients from 2008 to 2010, the new calibration coefficients of 2013 increased by 98.50%, 98.24%, 90.21%, 20.87% and 98.31% respectively. Overall, the obtained calibration coefficient has a high accuracy, that can be used to the IRS B08.
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References
|
[1]
|
Sun Zhiyuan, Chang Songtao, Zhu Wei, et al. Radiation calibration of infrared system by amendment of inner and outer calibrations[J]. Optics and Precision Engineering, 2015, 23(2):356-362. (in Chinese) |
|
[2]
|
Liu Li, Fu Qiaoyan, Shi Tingting, et al. Cross-validation of HJ-1B infrared channels onboard calibration coefficients using MODIS[J]. Infrared and Laser Engineering, 2014, 43(11):3638-3645. (in Chinese) |
|
[3]
|
Jiang G M, Yan H, Ma L L. Intercalibration of SVISSR/FY-2C infrared channels against MODIS/Terra and AIRS/Aqua channels[J]. IEEE Trans Geosci Remote Sensing, 2009, 47:1548-1558. |
|
[4]
|
Doelling D R, Nguyen L, Minnis P. Calibration comparisons between SEVIRI, MODIS, and GOES data[C]//Proceeding 2004 EUMETSAT Meteorological Satellite Conference, 2004, 6738. |
|
[5]
|
Asem A, Deschamps P Y, Ho D. Calibration of METEOSAT infrared radiometer using split-window channels of NOAA AVHRR[J]. J Atmos Oceanic Tech, 1987, 4(4):553-562. |
|
[6]
|
Li Jiaguo, Gu Xingfa, Yu Tao, et al. A twin-channel difference model for cross-calibration of thermal infrared band[J]. Science China Technological Sciences, 2012, 55(9):1-9. |
|
[7]
|
Wan Zhengming, Zhang Yulin, Li Zhaoliang, et al. Preliminary estimate of calibration of the moderate resolution imaging spectroradiometer thermal infrared data using Lake Titicaca[J]. Remote Sensing of Environment, 2002, 80:497-515. |
|
[8]
|
Sun Ke, Fu Qiaoyan, Qi Xueyong. Radiometric cross-calibration of thermal infrared channel of IRS sensor on HJ-1B satellite[J]. Infrared and Laser Engineering, 2010, 39(5):785-790. (in Chinese) |
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