Displays of clouds anomalies on the sattelite images before strong earthquakes

Authors

  • Anatolii Vorobiov Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Vadim Lyalko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Tetiana Melnychenko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Viktor Podorvan Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine

DOI:

https://doi.org/10.36023/ujrs.2016.10.85

Keywords:

a seismic centre, model of the avalanche-unstable formation of cracks, displays of clouds anomalies on the satellite images

Abstract

Studying of clouds anomalies on the satellite images of seismoactive regions before strong earthquakes which have occurred accordingly on November, 9th, 2002, on April, 6th, 2009 and on October, 18th, 2011 in areas of the cities Anapa (Russia), Aqviilla (Italy) and Van (Turkey) is executed.

References

Myachkin V.I. (1978) Earthquake preparation processes. Moscow. Nauka

Morozova L.I. (2005) Earthquake satellite monitoring. Vladivostok. Dalnauka

Sobolev G.A. (1993) Fundamentals of earthquake forecasting. Moscow. Nauka

Sobolev G.A., Ponomarev A.V. (2003) Physics of earthquakes and harbingers. Moscow. Nauka

Zhonghao Shou. Earthquake clouds and short termprediction. Science and Utopya 65, page 34, November 1999 — Режим доступу: http://www.earthquakesignals.com/zhonghao296/A010720.html

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Published

2016-09-20

How to Cite

Vorobiov, A., Lyalko, V., Melnychenko, T., & Podorvan, V. (2016). Displays of clouds anomalies on the sattelite images before strong earthquakes. Ukrainian Journal of Remote Sensing, (10), 21–25. https://doi.org/10.36023/ujrs.2016.10.85

Issue

No. 10 (2016)

Section

Earth observation data applications: Challenges and tasks