Validation of HJ-1B Thermal Infrared Channels Onboard Radiometric Calibration Based on Spectral Response Differences | |
Liu L. ; Fu Q. Y. ; Shi T. T. ; Wang A. C. ; Zhang X. W. | |
2014 | |
关键词 | Onboard calibration Thermal infrared Spectral response Validation cross-calibration surface temperature |
英文摘要 | Since HJ-1B was launched, 7 sets of blackbody data have been used to calculate onboard calibration coefficients, but the research work on the validation of coefficients is rare. According to the onboard calibration principle, calibration coefficients of HJ-1B thermal infrared channel on Sep 14th, 2009 were calculated with the half-width, moments and look-up table methods. MODIS was selected for the reference sensor, and algorithms of spectral match were improved between the HJ-1B thermal infrared channel and MODIS 31, 32 channels based on the spectral response divergence. The relationship of top of atmosphere (TOA) radiance between the remote sensors was calculated, based on which the surface leaving brightness temperature was calculated by Planck function to validate the brightness temperature calculated through the onboard calibration coefficients. The equivalent brightness temperature calculated by spectral response divergence method is 285. 97 K, and the inversion brightness temperature calculated by half-width, moments and look-up table methods is 288. 77, 274. 52 and 285. 97 K respectively. The difference between the inversion brightness temperature and the equivalent brightness temperature is 2. 8, -11. 46 and 0. 02 K, respectively, which demonstrate that onboard calibration coefficients calculated by the look-up table method has better precision and feasibility. |
出处 | Spectroscopy and Spectral Analysis |
卷 | 34 |
期 | 8 |
页 | 2212-2217 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1000-0593 |
内容类型 | SCI/SSCI论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/29729] |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Liu L.,Fu Q. Y.,Shi T. T.,et al. Validation of HJ-1B Thermal Infrared Channels Onboard Radiometric Calibration Based on Spectral Response Differences. 2014. |
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