Paper
18 October 2016 Analysis of the electronic crosstalk effect in Terra MODIS long-wave infrared photovoltaic bands using lunar images
Truman Wilson, Aisheng Wu, Xu Geng, Zhipeng Wang, Xiaoxiong Xiong
Author Affiliations +
Proceedings Volume 10004, Image and Signal Processing for Remote Sensing XXII; 100041C (2016) https://doi.org/10.1117/12.2240574
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom
Abstract
The Moderate Resolution Imaging Spectroradiometer (MODIS) is one of the key sensors among the suite of remote sensing instruments on board the Earth Observing System Terra and Aqua spacecrafts. For each MODIS spectral band, the sensor degradation has been measured using a set of on-board calibrators. MODIS also uses lunar observations from nearly monthly spacecraft maneuvers, which bring the Moon into view through the space- view port, helping to characterize the scan mirror degradation at a different angles of incidence. Throughout the Terra mission, contamination of the long-wave infrared photovoltaic band (LWIR PV, bands 27􀀀30) signals has been observed in the form of electronic crosstalk, where signal from each of the detectors among the LWIR PV bands can leak to the other detectors, producing a false signal contribution. This contamination has had a noticeable effect on the MODIS science products since 2010 for band 27, and since 2012 for bands 28 and 29. Images of the Moon have been used effectively for determining the contaminating bands, and have also been used to derive correction coefficients for the crosstalk contamination. In this paper, we introduce an updated technique for characterizing the crosstalk contamination among the LWIR PV bands using data from lunar calibration events. This approach takes into account both the in-band" and out-of-band" contribution to the signal contamination for each detector in bands 27􀀀30, which is not considered in previous works. The crosstalk coefficients can be derived for each lunar calibration event, providing the time dependence of the crosstalk contamination. Application of these coefficients to Earth-view image data results in a significant reduction in image contamination and a correction of the scene radiance for bands 27 􀀀 30. Also, this correction shows a significant improvement to certain threshold tests in the MODIS Level-2 Cloud Mask. In this paper, we will detail the methodology used to identify and correct the crosstalk contamination for the LWIR PV bands in Terra MODIS. The derived time-dependent crosstalk coefficients will also be discussed. Finally, the impact of the correction on the downstream data products will be analyzed.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Truman Wilson, Aisheng Wu, Xu Geng, Zhipeng Wang, and Xiaoxiong Xiong "Analysis of the electronic crosstalk effect in Terra MODIS long-wave infrared photovoltaic bands using lunar images", Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100041C (18 October 2016); https://doi.org/10.1117/12.2240574
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Cited by 10 scholarly publications.
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KEYWORDS
Sensors

Contamination

Clouds

Signal detection

Long wavelength infrared

MODIS

Photovoltaics

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