Method and system for monitoring smoke of forest fire

Abstract

The embodiment of the invention discloses a method and a system for monitoring the smoke of a forest fire. The method comprises the following steps of: acquiring the reflectivity and brightness temperature value of spectroscopic data, which is pre-processed, of a plurality of channels of a moderate resolution imaging spectroradiometer (MODIS), wherein the channels are in one-to-one correspondencewith wave bands to be processed; extracting a target wave band according to the reflectivity and the brightness temperature value; clustering the reflectivity of the target wave band by using a k-means clustering algorithm, and determining an aerosol pixel in the target wave band; obtaining a Fisher classifier by using the aerosol pixel which corresponds to a smoke plume region as a training sample; and removing a cloud interference pixel by using the Fisher classifier to obtain a smoke pixel. With the obtained aerosol pixel, the problem of leaked determination for thin smoke which is spread in cloud and rain regions in the prior art is solved, the cloud pixel which interferes with the smoke pixel is removed by the Fisher classifier, interference of a water body pixel is discriminated andthen removed by using a spectrum threshold value, monitoring accuracy is improved, and requirements on smoke monitoring under the influence of different weather conditions and seasonal climates can be met.

Description

technical field [0001] The present invention relates to the technical field of forest fire monitoring, in particular to a forest fire smoke monitoring method and system. Background technique [0002] Forest fire refers to a natural disaster that loses human control, spreads and expands freely in forest land, and brings certain harm and loss to forests, forest ecosystems and humans. Smoke is the precursor and thermophysical product of the fire process, and it is especially obvious in the early stage of the fire. Accurate monitoring of smoke is of great significance to the rescue and extinguishment of forest fires. [0003] Most of the existing methods for monitoring forest fire smoke use Xie et al to use the multi-channel nature of MODIS to propose a multi-spectral threshold to monitor smoke pixels, but they cannot detect thin-layer smoke, and the stability of monitoring results in different regions and seasons poor. Contents of the invention [0004] In view of this, the...

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Problems solved by technology

[0003] Most of the existing methods for monitoring forest fire smoke use Xie et al to use the multi-channel nature of MODIS to propose a multi-spectral threshold to monitor smoke pixels, but they cannot detect thin-layer smoke, and the stability of monitoring results in different regions and seasons poor

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