The phenomena of lunar observation in cold space reference sampling area of Visible and Infrared Radiometer on FY-3 Meteorological Satellite
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Affiliation:

1.Key Laboratory of Infrared System Detection and Imaging Technology,Shanghai Institute of Technical Physics, Chinese Academy of Sciences,Shanghai 200083, China;2.Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences,Hangzhou 310024, China;3.National Satellite Meteorological Centre, Beijing 100081

Clc Number:

TH741

Fund Project:

Supported by National Key R & D Projects (2018YFA0605501, 2018YFB0504900, 2018YFB0504901), National Natural Science Foundation of China(41871249)

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    Abstract:

    The moon is observed at a specific time in the cold space reference sampling area of the visible infrared radiometer (VIRR) of FY-3 meteorological satellite, which makes the remote sensing image appear abnormal area of strip image with reduced or even no code value in the earth region at that time, which has an impact on the remote sensing data. Based on the characteristics of VIRR orbit operation, on orbit working mode and cold space data sampling mechanism, this paper analyzes the reasons why the moon is observed in the cold space sampling area of VIRR and affects the remote sensing data. The mechanism of registration dislocation between lunar image channels caused by the rotation of VIRR scanning image in cold space sampling is expounded. The time and regularity of this phenomenon in one year period are calculated by satellite orbit simulation. The processing suggestions for the affected remote sensing data are put forward. The preliminary attempt of data correction is made and the possibility of data correction is analyzed.

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ZHANG E, CHEN Shuai-Shuai, ZHANG Li-Yang. The phenomena of lunar observation in cold space reference sampling area of Visible and Infrared Radiometer on FY-3 Meteorological Satellite[J]. Journal of Infrared and Millimeter Waves,2020,39(6):802~809

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History
  • Received:June 19,2020
  • Revised:September 10,2020
  • Adopted:August 17,2020
  • Online: November 20,2020
  • Published: