IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2024)
Response Characteristics of FY-3E Outgoing Longwave Radiation to Impending Earthquakes Based on the ATSCTF Algorithm: A Case Study of the 2023 Türkiye Double Earthquakes
Abstract
The FengYun-3E (FY-3E) satellite was successfully launched on 5 July 2021. It is a polar-orbiting meteorological satellite and the world's first civilian morning and night orbit meteorological satellite. It carries a medium-resolution spectral imager-LL payload that delivers high-resolution outgoing longwave radiation (OLR) products. OLR can reflect more atmospheric change information, is more sensitive to temperature change, and can better reflect the entire surface atmospheric system, which is conducive to the in-depth understanding of the seismic sphere coupling module. OLR is widely used in seismic infrared anomaly extraction. The additive tectonic stress from the celestial tide-generating force (ATSCTF) seismic anomaly extraction algorithm has been continuously improved. However, the threshold of seismic thermal anomaly is mostly based on experience. The results of the quartile algorithm are objective, and it has some advantages in recognizing abnormal values. Whether the FY-3E can be used for seismic risk monitoring remains to be investigated. In this study, the 2023 Türkiye double earthquakes are taken as an example; the seismic anomalies of FY-3E OLR data are extracted based on the ATSCTF algorithm, and the anomaly threshold is determined via the quartile method. The results show that the ATSCTF algorithm based on the quartile threshold method is suitable for FY-3E data, and FY-3E OLR data have a certain response to pre-earthquake radiation anomalies, which can be used for seismic infrared anomaly tracking. The comprehensive use of ascending and descending data can better serve the extraction of seismic anomalies. High-resolution temporal remote sensing data are more conducive to the extraction of seismic anomalies via ATSCTF. The research and practice of seismic risk monitoring based on the ATSCTF algorithm can be further strengthened.
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