A review on remotely sensed land surface temperature anomaly as an earthquake precursor

Anshuman Bhardwaj, Shaktiman Singh, Lydia Sam, P. K. Joshi*, Akanksha Bhardwaj, F. Javier Martín-Torres, Rajesh Kumar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

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 languageEnglish
Pages (from-to)158-166
Number of pages9
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume63
Early online date9 Aug 2017
DOIs
Publication statusPublished - 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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