Intelligent Temperature Monitoring Based on Thermal Imaging Data

Authors

  • Serhii Golub Department of intelligent decision support system Bogdan Khmelnitsky Cherkassy National Unsverity
  • Мarii Talakh Department of Computer Science Yuriy Fedkovych Chernivtsi National Unsverity

Keywords:

monitoring, thermal imagery, Landsat, MSUA, temperature

Abstract

The application of multilevel monitoring method for forecasting of temperature based on the data of thermal imagery of satellites and data from meteorological stations is substantiated. The obtained model is tested for the territory of Chernivtsi and Ivano-Frankivsk regions and allows to predict the temperature for the areas with sparse net of meteorological stations, on average, with an accuracy of 1 degree Celsius.

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Published

2018-05-19

Issue

2018: INFORMATION TECHNOLOGIES AND COMPUTER MODELLING proceedings of the International Scientific Conference

Section

Section 7 Mathematical and computer modelling of complex systems