Updates of Moderate Resolution Imaging Spectroradiometer on-orbit calibration uncertainty assessments

作者:Xiong Xiaoxiong*; Angal Amit; Barnes William L; Chen Hongda; Chiang Vincent; Geng Xu; Li Yonghong; Twedt Kevin; Wang Zhipeng; Wilson Truman; Wu Aisheng
来源:Journal of Applied Remote Sensing, 2018, 12(3): 034001.
DOI:10.1117/1.JRS.12.034001

摘要

The Moderate Resolution Imaging Spectroradiometer (MODIS) instruments have successfully operated for more than 18 and 16 years, respectively, on-board the NASA's Earth Observing System Terra and Aqua spacecraft. Both Terra and Aqua MODIS have significantly contributed to the advance of global Earth remote sensing applications with a broad range of science products that have been continuously produced since the beginning of each mission and freely distributed to users worldwide. MODIS collects data in 20 reflective solar bands (RSB) and 16 thermal emissive bands (TEB), covering wavelengths from 0.41 to 14.4 mu m. Its level IB (L1B) data products, which provide the input for the MODIS high-level science products, include the top of the atmosphere reflectance factors for the RSB, radiances for both the RSB and TEB, and associated uncertainty indices (UI) at a pixel-by-pixel level. This paper provides a brief review of MODIS L1B calibration algorithms, including a number of improvements made in recent years. It presents an update of sensor calibration uncertainty assessments with a focus on several new contributors resulting from on-orbit changes in sensor characteristics, approaches developed to address these changes, and the impact due to on-orbit changes on the L1B data quality. Also discussed are remaining challenges and potential improvements to be made to continuously maintain sensor calibration and data quality, particularly those related to the quality of MODIS LIB uncertainty.

  • 出版日期2018-7-16