4.6 Article

Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations

期刊

SENSORS
卷 21, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/s21072429

关键词

remote sensing; Earth observation; nano; microsatellite; lunar calibration

资金

  1. MIC/SCOPE [191502001]
  2. JSPS KAKENHI [19K14789]
  3. Grants-in-Aid for Scientific Research [19K14789] Funding Source: KAKEN

向作者/读者索取更多资源

Utilizing the Moon as a reference source for radiometric calibration, especially on microsatellites, can effectively evaluate the performance of optical sensors onboard satellites orbiting the Earth. This study shows that lunar calibration can address sensor sensitivity issues and correct sensitivity trends in the visible range.
Radiometric calibration utilizing the Moon as a reference source is termed as lunar calibration. It is a useful method for evaluating the performance of optical sensors onboard satellites orbiting the Earth. Lunar calibration provides sufficient radiometric calibration opportunities without requiring any special equipment, and is suitable for nano/microsatellites. This study applies lunar calibration to a multispectral sensor, Ocean Observation Camera (OOC), on board a microsatellite named Rapid International Scientific Experiment Satellite. Simulating the brightness of the Moon based on the RObotic Lunar Observatory and SELENE/Spectrum Profiler models, sensitivity degradation was proven to be negligible in any of the four spectral bands of the OOC with the sensor temperature correction. A bluing trend in the OOC's sensor sensitivity was revealed, indicating a shorter observation wavelength shows larger irradiance. Comparing the top-of-atmosphere reflectance of Railroad Valley Playa with the Radiometric Calibration Network dataset revealed that the derived calibration parameter from the lunar calibration was valid for correcting the bluing trend in the visible range. Although the lunar and vicarious calibration parameters for the infrared band were unexpectedly inconsistent, lunar calibration could potentially contribute toward estimating the contaminated background radiance in the Earth observation images.

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