Prospects for developing methods for short-term forecasting of strong earthquakes based on satellite monitoring of cloudiness anomalies

  • Vadim Lyalko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Oles Honchar st, 55-B, 01054, Kyiv, Ukraine https://orcid.org/0000-0002-7552-5915
  • Anatolii Vorobiev Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Oles Honchar st, 55-B, 01054, Kyiv, Ukraine https://orcid.org/0000-0002-3386-2278
Keywords: earthquake hearth, linear cloudiness anomalies, satellite images, MODIS sensor, NOAA satellite

Abstract

Forecasting earthquakes of various intensities will continue to be an urgent task that has yet to bene resolved. The use of various forecasting methods makes it possible to conduct analysis and warnings more objectively and reliably. Methods of short-term prediction of strong earthquakes based on satellite monitoring of cloudiness anomalies can be used with some success. Based on the research results, it was established that before strong earthquakes, linear cloudiness anomalies are observed over the Earth's deep fault zones, which can be used for short-term earthquake forecasting. The most effective method of studying cloudiness anomalies is the use of satellite methods. As a result of the analysis of linear cloudiness anomalies, a conclusion was made about the possibility of a regional short-term forecast of strong and catastrophic earthquakes with an assessment of the possible magnitude and approximate position of the future earthquake. The reliability of the forecast depends on the tectonic structure of the region and atmospheric conditions. It is important to be able to forecast the magnitude of the future earthquake based on the length of the cloudiness anomaly. It was established that the length of the cloudiness anomaly before a catastrophic earthquake allows one to predict the magnitude, which is very important for forecasting the level of seismic danger in the coming days.

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Vorobiov, A. I., Lyalko, V. I., Melnychenko, T. A., Podorvan V. M. (2016) Displays of clouds anomalies on the sattelite images before strong earthquakes. Ukrainian Journal of Remote Sensing, 10, 21–25. URL: https://ujrs.org.ua/ujrs/article/view/85.

Section
Earth observation data applications: Challenges and tasks