Refined forest fire risk assessment method fusing multi-source data

Abstract

The invention discloses a refined forest fire danger assessment method fusing multi-source data. The method comprises the following steps: determining key influence factors causing forest fire danger; carrying out deep diagnosis analysis and clustering analysis on the key influence factors to obtain 12 types of forest fire danger influence factors; calculating the weight of each forest fire danger influence factor; determining a calculation principle according to the correlation between the forest fire danger influence factors so as to establish a refined forest risk assessment model, and determining an extraction forecast scale; and according to a preset forest steppe emergency plan, a preset forest fire danger grade forecasting and response work management method and a preset forest fire hazard grading response program, analyzing historical fire hazard data within a preset age limit through the refined forest risk assessment model so as to divide the risk grade of the refined forest fire danger. According to the method, the forecasting grade information is automatically published, the fire danger forecasting result meets the refined requirement, forecasting accuracy is achieved, and reference can be provided for forest fire prevention work.

Description

technical field [0001] The invention relates to the field of remote sensing science and technology, in particular to a refined forest fire risk assessment method fused with multi-source data. Background technique [0002] In recent years, climate warming and extreme weather have increased, which has led to a period of high incidence of forest fires in the world. Forest fires occur frequently all over the world. Doing a good job in forest fire prevention and extinguishing is of great significance for ensuring national security, forest safety and personal property safety. [0003] Forest fire risk assessment, that is, the possibility of forest fires in a certain area within a certain period of time, is an important basis for forest fire management. Accurate forest fire risk level forecasting can provide scientific support for forest fire prevention work. At present, my country's forest fire risk assessment is mainly based on meteorological conditions for forecasting. Niu Ruoyu...

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Problems solved by technology

However, these methods cannot conduct a refined and more accurate analysis of forest fire risk

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