Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018

ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY

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Field Value
 
Title Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018
 
Creator Rasul, Azad
Omar, Luqman W.
 
Subject Anomaly detection
Earthquake
Land surface temperature
Remote sensing
 
Description 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.
 
Publisher Koya University
 
Date 2020-09-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed article
text
 
Format application/pdf
 
Identifier http://aro.koyauniversity.org/index.php/aro/article/view/ARO.10591
10.14500/aro.10591
 
Source ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY; Vol. 8 No. 2 (2020): Issue Fifteen; 15-21
2307-549X
2410-9355
 
Language eng
 
Relation http://aro.koyauniversity.org/index.php/aro/article/view/ARO.10591/184
 
Rights Copyright (c) 2020 Azad Rasul, Luqman W. Omar
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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