MODIS-based estimates of strong snow surface temperature anomaly related to high altitude earthquakes of 2015

Anshuman Bhardwaj*, Shaktiman Singh, Lydia Sam, Akanksha Bhardwaj, Javier Martin-Torres, Atar Singh, Rajesh Kumar

*Corresponding author for this work

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The high levels of uncertainty associated with earthquake prediction render earthquakes some of the worst natural calamities. Here, we present our observations of MODerate resolution Imaging Spectroradiometer (MODIS)-derived Land Surface Temperature (LST) anomaly for earthquakes in the largest tectonically active Himalayan and Andean mountain belts. We report the appearance of fairly detectable pre-earthquake Snow Surface Temperature (SST) anomalies. We use 16 years (2000–2015) of MODIS LST time-series data to robustly conclude our findings for three of the most destructive earthquakes that occurred in 2015 in the high mountains of Nepal, Chile, and Afghanistan. We propose the physical basis behind higher sensitivity of snow towards geothermal emissions. Although the preliminary appearance of SST anomalies and their amplitudes vary, we propose employing a global-scale monitoring system for detecting and studying such spatio-temporal geophysical signals. With the advent of improved remote sensors, we anticipate that such efforts can be another step towards improved earthquake predictions.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalRemote Sensing of Environment
Volume188
Early online date10 Nov 2016
DOIs
Publication statusPublished - Jan 2017

    Fingerprint

Keywords

  • Earthquakes
  • LST anomaly
  • MODIS
  • snow

Cite this