Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Koya University
2020-09-01
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| Series: | ARO-The Scientific Journal of Koya University |
| Subjects: | |
| Online Access: | https://aro.koyauniversity.org/index.php/aro/article/view/591 |
| _version_ | 1797725801307701248 |
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| author | Azad Rasul Luqman W. Omar |
| author_facet | Azad Rasul Luqman W. Omar |
| author_sort | Azad Rasul |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T10:36:26Z |
| format | Article |
| id | doaj.art-41156a9fa0fd4505b39fda2eebabc6d0 |
| institution | Directory Open Access Journal |
| issn | 2410-9355 2307-549X |
| language | English |
| last_indexed | 2024-03-12T10:36:26Z |
| publishDate | 2020-09-01 |
| publisher | Koya University |
| record_format | Article |
| series | ARO-The Scientific Journal of Koya University |
| spelling | doaj.art-41156a9fa0fd4505b39fda2eebabc6d02023-09-02T08:35:28ZengKoya UniversityARO-The Scientific Journal of Koya University2410-93552307-549X2020-09-018210.14500/aro.10591Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018Azad Rasul0Luqman W. Omar1Department of Geography, Soran University, Kawa Street, Soran 44008, Erbil, Kurdistan Region – F.R. IraqDepartment of Geography, Koya University,Danielle Mitterrand Boulevard, Koya KOY45, Erbil, Kurdistan Region – F.R. IraqEarthquake 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.https://aro.koyauniversity.org/index.php/aro/article/view/591Anomaly detectionEarthquakeLand surface temperatureRemote sensing |
| spellingShingle | Azad Rasul Luqman W. Omar Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018 ARO-The Scientific Journal of Koya University Anomaly detection Earthquake Land surface temperature Remote sensing |
| title | Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018 |
| title_full | Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018 |
| title_fullStr | Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018 |
| title_full_unstemmed | Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018 |
| title_short | Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018 |
| title_sort | land surface temperature anomalies detection for the strong earthquakes in 2018 |
| topic | Anomaly detection Earthquake Land surface temperature Remote sensing |
| url | https://aro.koyauniversity.org/index.php/aro/article/view/591 |
| work_keys_str_mv | AT azadrasul landsurfacetemperatureanomaliesdetectionforthestrongearthquakesin2018 AT luqmanwomar landsurfacetemperatureanomaliesdetectionforthestrongearthquakesin2018 |