18 December 2019 Assessment of MODIS thermal emissive bands calibration performance using deep convective clouds
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Abstract

The core of deep convective clouds (DCC) is one of the most consistent Earth targets. When viewed from space, the measurements have minimal impact from water vapor and aerosols and have been used as invariant scenes for calibration assessment for reflectance solar bands. DCC is also one of the coldest targets and can be used for assessing the calibration and product stability for infrared thermal emissive bands (TEB). The stability from the years 2003 to 2019 is analyzed for both Terra and Aqua moderate resolution imaging spectroradiometer (MODIS) long-wave infrared bands. Most bands exhibit very stable long-term trending. Terra band 30 shows the largest rate of change of 0.19  K  /  year. The Terra–Aqua difference is also analyzed. In general, for both Terra and Aqua, the long-wave infrared bands show good and stable detector uniformity. The impact of response change due to anomalies and events has been analyzed. Since the measurement bias over cold DCC is dominated by the offset term in the calibration equation, an assessment model is developed to estimate the offset bias between the mirror sides. The impact model is also developed to estimate the impact on higher brightness temperature measurements. The offset bias from the assessment modeling in this analysis is used as the input for impact modeling. The measurements over Dome-C, Ocean, and desert scenes are used to verify the impact model. These assessments are very helpful for MODIS TEB calibration and look-up table update procedure improvements.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2019/$28.00 © 2019 SPIE
Tiejun Chang, Xiaoxiong Xiong, and Ashish Shrestha "Assessment of MODIS thermal emissive bands calibration performance using deep convective clouds," Journal of Applied Remote Sensing 13(4), 044526 (18 December 2019). https://doi.org/10.1117/1.JRS.13.044526
Received: 23 July 2019; Accepted: 27 November 2019; Published: 18 December 2019
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Calibration

MODIS

Mirrors

Long wavelength infrared

Sensors

Photovoltaics

Clouds

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