Forest grassland fire behavior discrimination method based on remote sensing image and vegetation type graph

Abstract

The invention provides a forest grassland fire behavior discrimination method based on a remote sensing image and a vegetation type graph. The method is used for solving the problem that the combustion situation of a fire scene is not quantitatively evaluated in the prior art. According to the forest grassland fire behavior discrimination method based on the remote sensing image and the vegetationtype graph, GF-4 PMI data are utilized, a visible light near-infrared image and a medium wave infrared image are combined and then combined with the vegetation type graph, specific emissivity corresponding to the vegetation type is obtained to serve as specific emissivity of fire, the proportion of the burning vegetation, the area of the burning vegetation and the temperature of the fire are quantitatively calculated, the radiation intensity, the live wire intensity, the flame height and other parameters representing the fire behavior of the forest grassland fire are further calculated, and the fire behavior grade is judged based on the quantitative parameters. Quantitative, reliable and accurate data support of fire scene radiation energy is provided for fire fighting decision making offorest grassland fire disasters.

Description

technical field [0001] The invention belongs to the field of forest and grassland fire monitoring, in particular to a method for discriminating forest and grassland fire intensity based on remote sensing images and vegetation type maps. Background technique [0002] The fire intensity of forest grassland fire refers to the fire intensity level reflected by quantitative indicators such as radiation intensity, fire line intensity, and flame height of the burning area of ​​the fire scene during the occurrence of forest grassland fire, so that fire extinguishing plans can be formulated according to different fire intensity levels. [0003] In the existing technology, after a forest and grassland fire occurs, the flame height of the fire scene is usually obtained by means of ground observation, manned aircraft reconnaissance or unmanned aerial vehicle inspection, and the observer's manual visual inspection and empirical judgment, and then the fire line intensity is estimated from ...

AI Technical Summary

Problems solved by technology

However, relying too much on people's subjective judgment not only has the problem of being greatly affected by subjective factors, but also cannot directly obtain the flame height of the fire scene due to tree canopy occlusion, smoke area interference, etc., making it difficult to judge the size of the fire scene

At present, in the daily business monitoring of forest and grassland fires by satellite remote sensing, although the data acquisition is more objective, using the satellite remote sensing data with low and medium spatial resolution (about 1000m) with thermal radiation detection capabilities, most of the burning areas are only shown in satellite images. is the ignition point, and most of them are a mixture of burning areas and non-burning areas; in the daily fire monitoring results of forest and grassland fires, information such as the spatial position (longitude, latitude), brightness temperature, and radiant energy of each ignition point pixel is provided, while Not paying attention to the burning situation of the fire scene (such as radiation intensity, fire line intensity, flame height, etc.)

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