Presentation + Paper
29 September 2017 Aqua MODIS electronic crosstalk survey from Moon observations
Author Affiliations +
Abstract
Signatures of electronic crosstalk contamination are clearly seen in Aqua MODIS Moon images from bands 20 to 30 (1.375 and 3.75 - 9.73 μm). Electronic crosstalk can potentially impact L1B products, causing image artifacts such as striping and radiometric bias, the severity of which will depend on the amount of signal leaked, how it compares to the flux levels in the receiving image, and on the ability of the calibration in absorbing the contamination. In this paper, we address two distinct manifestations of electronic crosstalk contamination seen in Aqua MODIS lunar images that we call the simple and complex ghosts. The simple ghosts appear in lunar images from bands 20 to 30, affect detector 1 only, and each ghost is caused by signal leak from one sending detector only. The complex ghosts form negative regions in Aqua MODIS lunar images from bands 27 to 30 and are caused by multiple sending detectors and bands. We map the crosstalk signatures back to their respective sending bands/detectors, by determining the displacement between the main lunar image and the crosstalk ghosts. We assume the contaminating signal is proportional to the signal of the sending band/detector and derive linear crosstalk coefficients for the simple ghosts in bands 20 to 26 and 28 to 30 and for the complex ghosts in band 29 for the entire mission. The linear crosstalk coefficients can then be applied in the correction of L1A Earth and calibration data that will generate corrected L1B images from which we can assess the impact the contamination has on the L1B product.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Graziela R. Keller, Zhipeng Wang, Aisheng Wu, and Xiaoxiong Xiong "Aqua MODIS electronic crosstalk survey from Moon observations", Proc. SPIE 10423, Sensors, Systems, and Next-Generation Satellites XXI, 1042314 (29 September 2017); https://doi.org/10.1117/12.2277972
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Calibration

MODIS

Contamination

Image sensors

Reflectivity

Sensor calibration

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