Forest fireproof monitoring method based on MODIS remote sensing data

Abstract

The invention discloses a forest fireproof monitoring method based on MODIS remote sensing data, and the method comprises the steps: employing the brightness temperature values of a fourth channel and an eleventh channel in each piece of pixel data of the MODIS remote sensing data for determining whether a place corresponding to a single pixel is a high-temperature point or not, and then obtaining the corresponding latitude and longitude when the place corresponding to the single pixel is determined to be the high-temperature point; obtaining a current forest video image of the place corresponding to the latitude and longitude of the determined high-temperature point, enabling the current forest video image to be used in a preset mixed Gaussian background model, and generating a background image corresponding to the current forest video image of the place corresponding to the latitude and longitude of the determined high-temperature point; solving the difference between the current forest video image and the background image corresponding to the current forest video image, and generating a current background difference image; enabling the generated current background difference image to be employed in a preset smoke object detection algorithm, and obtaining the smoke object information. According to the invention, the method can reduce the false alarm rate of fire monitoring and improve the fire monitoring precision.

Description

technical field [0001] The invention relates to fire prevention monitoring technology, in particular to a forest fire prevention monitoring method based on MODIS remote sensing data. Background technique [0002] As people pay more and more attention to the ecological environment, the forest area and forest stock volume increase year by year, coupled with the variability of climatic conditions, the occurrence of forest fires becomes more and more frequent. Due to the suddenness and randomness of forest fires, which can cause huge economic losses in a short period of time, the task of forest fire prevention has become more and more difficult. [0003] In the existing technology, the intelligent monitoring technology for forest fire prevention can avoid the limitations of the original manual fire observation, realize the digital and scientific management of forest areas, greatly reduce the expenses and management costs of forestry departments, and improve the efficiency of for...

AI Technical Summary

Problems solved by technology

However, the traditional fire point information extraction method based on MODSI remote sensing data not only needs to carry out cloud filtering judgment and atmospheric correction, but also needs to detect high temperature points and remove flares and abnormal high temperature points, and also needs to comprehensively judge the fire point area. Its calculation process is complex, and because only remote sensing data is used for judgment and the limitations of the algorithm itself, the accuracy of fire point detection is not high

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