Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide
Earthquakes are reported to be preceded by anomalous increases in satellite-recorded thermal emissions, but published results are often contradicting and/or limited to short periods and areas around the earthquake. We apply a methodology that allows to detect subtle, localized spatio-temporal fluctu...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/11/1/61 |
id |
doaj-07fc81e8bc4d49639ca55e7193628118 |
---|---|
record_format |
Article |
spelling |
doaj-07fc81e8bc4d49639ca55e71936281182020-11-24T23:58:38ZengMDPI AGRemote Sensing2072-42922018-12-011116110.3390/rs11010061rs11010061Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases WorldwideEfthymia Pavlidou0Mark van der Meijde1Harald van der Werff2Christoph Hecker3Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The NetherlandsFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The NetherlandsFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The NetherlandsFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The NetherlandsEarthquakes are reported to be preceded by anomalous increases in satellite-recorded thermal emissions, but published results are often contradicting and/or limited to short periods and areas around the earthquake. We apply a methodology that allows to detect subtle, localized spatio-temporal fluctuations in hyper-temporal, geostationary-based land surface temperature (LST) data. We study 10 areas worldwide, covering 20 large (Mw > 5.5) and shallow (<35 km) land-based earthquakes. We compare years and locations with and without earthquake, and we statistically evaluate our findings with respect to distance from epicentra and temporal coincidence with earthquakes. We detect anomalies throughout the duration of all datasets, at various distances from the earthquake, and in years with and without earthquake alike. We find no distinct repeated patterns in the case of earthquakes that happen in the same region in different years. We conclude that earthquakes do not have a significant effect on detected LST anomalies.http://www.mdpi.com/2072-4292/11/1/61land surface temperaturesearthquake precursorsthermal anomalies |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Efthymia Pavlidou Mark van der Meijde Harald van der Werff Christoph Hecker |
spellingShingle |
Efthymia Pavlidou Mark van der Meijde Harald van der Werff Christoph Hecker Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide Remote Sensing land surface temperatures earthquake precursors thermal anomalies |
author_facet |
Efthymia Pavlidou Mark van der Meijde Harald van der Werff Christoph Hecker |
author_sort |
Efthymia Pavlidou |
title |
Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide |
title_short |
Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide |
title_full |
Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide |
title_fullStr |
Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide |
title_full_unstemmed |
Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide |
title_sort |
time series analysis of land surface temperatures in 20 earthquake cases worldwide |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-12-01 |
description |
Earthquakes are reported to be preceded by anomalous increases in satellite-recorded thermal emissions, but published results are often contradicting and/or limited to short periods and areas around the earthquake. We apply a methodology that allows to detect subtle, localized spatio-temporal fluctuations in hyper-temporal, geostationary-based land surface temperature (LST) data. We study 10 areas worldwide, covering 20 large (Mw > 5.5) and shallow (<35 km) land-based earthquakes. We compare years and locations with and without earthquake, and we statistically evaluate our findings with respect to distance from epicentra and temporal coincidence with earthquakes. We detect anomalies throughout the duration of all datasets, at various distances from the earthquake, and in years with and without earthquake alike. We find no distinct repeated patterns in the case of earthquakes that happen in the same region in different years. We conclude that earthquakes do not have a significant effect on detected LST anomalies. |
topic |
land surface temperatures earthquake precursors thermal anomalies |
url |
http://www.mdpi.com/2072-4292/11/1/61 |
work_keys_str_mv |
AT efthymiapavlidou timeseriesanalysisoflandsurfacetemperaturesin20earthquakecasesworldwide AT markvandermeijde timeseriesanalysisoflandsurfacetemperaturesin20earthquakecasesworldwide AT haraldvanderwerff timeseriesanalysisoflandsurfacetemperaturesin20earthquakecasesworldwide AT christophhecker timeseriesanalysisoflandsurfacetemperaturesin20earthquakecasesworldwide |
_version_ |
1725450574701264896 |