Abstract
The low predictability of earthquakes and the high uncertainty associated with their forecasts make earthquakes one of the worst natural calamities, capable of causing instant loss of life and property. Here, we discuss the studies reporting the observed anomalies in the satellite-derived Land Surface Temperature (LST) before an earthquake. We compile the conclusions of these studies and evaluate the use of remotely sensed LST anomalies as precursors of earthquakes. The arrival times and the amplitudes of the anomalies vary widely, thus making it difficult to consider them as universal markers to issue earthquake warnings. Based on the randomness in the observations of these precursors, we support employing a global-scale monitoring system to detect statistically robust anomalous geophysical signals prior to earthquakes before considering them as definite precursors.
Original language | English |
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Pages (from-to) | 158-166 |
Number of pages | 9 |
Journal | International Journal of Applied Earth Observation and Geoinformation |
Volume | 63 |
Early online date | 9 Aug 2017 |
DOIs | |
Publication status | Published - Dec 2017 |
Bibliographical note
Authors are thankful to the anonymous reviewers and the editorial board for providing valuable comments to enhance the quality of the manuscript. PKJ is thankful to DST-PURSE of Jawaharlal Nehru University for research support. LS and SS acknowledge German Academic Exchange Service (DAAD) for their PhD scholarships.Keywords
- Earthquake
- Land surface temperature (LST)
- LST anomaly
- Precursor
- Remote sensing
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Shaktiman Singh
- School of Geosciences, Planetary Sciences, Geography - Lecturer
- Cryosphere and Climate Change Research Group
Person: Academic