Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018

ARO-The Scientific Journal of Koya University

卷:8

Luqman W. Omar¹  Azad Rasul² 

[1] Department of Geography, Koya University,Danielle Mitterrand Boulevard, Koya KOY45, Erbil, Kurdistan Region – F.R. Iraq;

[2] Department of Geography, Soran University, Kawa Street, Soran 44008, Erbil, Kurdistan Region – F.R. Iraq;

关键词: Anomaly detection;    Earthquake;    Land surface temperature;    Remote sensing;   

DOI  :  10.14500/aro.10591

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown