Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018

Rasul, Azad and Omar, Luqman W. (2020) Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 8 (2). pp. 15-21. ISSN 2410-9355

Text (PDF) ARO.10591-Vol8.No2.2020.ISSUE15-PP15-21.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (5MB)

Abstract

Earthquake every year leads to human and material losses and unpredictability of it by now makes this natural disaster worsen. The objective of the current study was to determine the anomalies in land surface temperature (LST) in areas affected by earthquakes. In this research, three earthquakes (M >6) were studied. Moderate Resolution Imaging Spectroradiometer Aqua and Terra day and night LST data used from 2003 to 2018. The interquartile range (IQR) and mean ± 2σ methods utilized to select anomalies. As a result, based on the IQR method, no prior and after anomaly detected in selected cases and data. Based on mean ± 2σ, usually positive anomaly occurred during daytime. However, negative (or positive) anomaly occurred during the nighttime before the Mexico and Bolivia earthquakes. During 10 days after the earthquake, sometimes a negative anomaly detected.

Item Type:	Article
Uncontrolled Keywords:	Anomaly detection, Earthquake, Land surface temperature, Remote sensing
Subjects:	Q Science > QE Geology
Divisions:	ARO-The Scientific Journal of Koya University > VOL 8, NO 2 (2020)
Depositing User:	Dr Salah Ismaeel Yahya
Date Deposited:	16 Aug 2021 21:22
Last Modified:	13 Sep 2021 17:29
URI:	http://eprints.koyauniversity.org/id/eprint/254

Actions (login required)

View Item