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Goto, K. (1996). Extraction of Earthquake Clouds from Artificial Satellite Images—Searching for the Possibility of Earthquake Prediction from Space. In Global Environmental Engineering Research Group (Ed.), Proceedings of the 2nd Space Environment Monitoring Conference (pp. 1-4). The University of Tokyo.

has been cited by the following article:

• TITLE: Earthquake Prediction Software on Global Scale

  AUTHORS: Haruhiro Shiraishi

  KEYWORDS: Dissociation, Earthquake, Global Scale, Machine Learning

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.10 No.3, March 7, 2022

  ABSTRACT: Researchers developed an earthquake prediction software and evaluated its performance. This earthquake prediction software is suitable for short-term earthquake prediction. This approach relies on the deep involvement of water vapors that occur just before an earthquake caused by a decrease in pressure and an increase in temperature, leading to a 70.5% prediction accuracy within a month in Japan. In addition, we have tried to develop a new practical method to warn earthquakes for not only Japan but also global scale. In other words, this paper is dedicated to improving the short-term earthquake prediction software from Japan to global scale. In global scale, the prediction rate improved to 80.8%.