DOI: 10.1002/2015JD024652
论文题名: Assessment of MODIS RSB detector uniformity using deep convective clouds
作者: Chang T. ; Xiong X.J. ; Angal A. ; Mu Q.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 9 起始页码: 4783
结束页码: 4796
语种: 英语
英文关键词: calibration
; DCC
; MODIS
Scopus关键词: algorithm
; assessment method
; calibration
; convective cloud
; MODIS
; reflectance
; satellite sensor
; Terra (satellite)
英文摘要: For satellite sensor, the striping observed in images is typically associated with the relative multiple detector gain difference derived from the calibration. A method using deep convective cloud (DCC) measurements to assess the difference among detectors after calibration is proposed and demonstrated for select reflective solar bands (RSBs) of the Moderate Resolution Imaging Spectroradiometer (MODIS). Each detector of MODIS RSB is calibrated independently using a solar diffuser (SD). Although the SD is expected to accurately characterize detector response, the uncertainties associated with the SD degradation and characterization result in inadequacies in the estimation of each detector's gain. This work takes advantage of the DCC technique to assess detector uniformity and scan mirror side difference for RSB. The detector differences for Terra MODIS Collection 6 are less than 1% for bands 1, 3-5, and 18 and up to 2% for bands 6, 19, and 26. The largest difference is up to 4% for band 7. Most Aqua bands have detector differences less than 0.5% except bands 19 and 26 with up to 1.5%. Normally, large differences occur for edge detectors. The long-Term trending shows seasonal oscillations in detector differences for some bands, which are correlated with the instrument temperature. The detector uniformities were evaluated for both unaggregated and aggregated detectors for MODIS band 1 and bands 3-7, and their consistencies are verified. The assessment results were validated by applying a direct correction to reflectance images. These assessments can lead to improvements to the calibration algorithm and therefore a reduction in striping observed in the calibrated imagery. © 2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62861
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Science Systems and Applications Inc, Lanham, MD, United States; Sciences and Exploration Direct., NASA/GSFC, Greenbelt, MD, United States
Recommended Citation:
Chang T.,Xiong X.J.,Angal A.,et al. Assessment of MODIS RSB detector uniformity using deep convective clouds[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(9)