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A review on remotely sensed land surface temperature anomaly as an earthquake precursor
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology. Department of Environmental Science, Sharda University, Greater Noida, India. (Atmospheric Science Group)ORCID iD: 0000-0002-2502-6384
Department of Environmental Science, Sharda University, Greater Noida, India; Institut für Kartographie, Technische Universität Dresden, Germany.
Department of Environmental Science, Sharda University, Greater Noida, India; Institut für Kartographie, Technische Universität Dresden, Germany.
School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.
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2017 (English)In: International Journal of Applied Earth Observation and Geoinformation, ISSN 1569-8432, E-ISSN 1872-826X, Vol. 63, p. 158-166Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 63, p. 158-166
National Category
Geosciences, Multidisciplinary Aerospace Engineering
Research subject
Atmospheric Science
Identifiers
URN: urn:nbn:se:ltu:diva-64993DOI: 10.1016/j.jag.2017.08.002ISI: 000411848500015Scopus ID: 2-s2.0-85032462154OAI: oai:DiVA.org:ltu-64993DiVA, id: diva2:1130553
Note

Validerad;2017;Nivå 2;2017-08-15 (rokbeg)

Available from: 2017-08-10 Created: 2017-08-10 Last updated: 2023-05-06Bibliographically approved

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Bhardwaj, AnshumanMartín-Torres, Javier F.

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