IMPROVING THE MONITORING AND FORECASTING SYSTEM FOR FOREST FIRES ON THE EXAMPLE OF THE REPUBLIC OF SAKHA (YAKUTIA)
Abstract and keywords
Abstract:
Forest fires annually cause great damage to the territory of the Russian Federation. In 2022, the criteria for classifying a forest fire as a natural emergency were changed, which made it possible to statistically reduce their number, but this does not solve the problem with a large number of forest fires. The paper proposes directions for improving the system of monitoring and forecasting forest fires on the example of the Republic of Sakha (Yakutia) using artificial intelligence methods. In particular, at the stage of processing images obtained by remote sensing of the earth, use not manual labor, but carry out processing automatically. For these purposes, a software package was developed, the implementation of which will allow optimizing the process of processing space images. To test the adequacy of the developed proposals and the software package, an experiment was conducted, which revealed that the introduction of the proposed changes will reduce the processing time of images by an average of 11%

Keywords:
improvement, optimization, monitoring and forecasting system, forest fires, system improvement
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References

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