Method for extracting straw burning fire based on No. 1 environment satellite

Abstract

The invention discloses a method for extracting straw burning fire based on a No. 1 environment satellite. The method comprises the following steps: S1, calculating the brightness temperature of each wave band according to the infrared data of the No. 1 environment satellite; S2, judging the average temperature of an image element according to the difference of a third wave band and a fourth wave band of a No. 1 environment satellite infrared camera to the brightness temperature of the same picture element and extracting potential hot outlier according to the temperature difference between a target image element and a surrounding image element; S3, extracting real hot outlier based on the data of the potential hot outlier; S4, utilizing a series of threshold value discrimination methods to remove false fire based on the data of the real hot outlier and other wave band data with the same resolution ratio with that the No. 1 environment satellite; and S5, judging fire in a farmland as the straw burning fire according to the land classification information. The method can utilize the infrared, multi-light spectrum and land utilization data to extract the straw burning fire, thereby improving the low spatial resolution of the original monitoring sensor and realizing the operation of monitoring business of the straw incineration point.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring of straw burning points, in particular to a method for extracting straw burning points based on the Environment-1 satellite. Background technique [0002] Straw burning point is a kind of fire point remote sensing monitoring, and the principle of fire point remote sensing monitoring is based on Weiss' displacement law. The peak of thermal radiation energy of ground objects at room temperature is located in the long-wave infrared band, and as the temperature increases, the peak of thermal radiation moves to the shorter wavelength band. Therefore, a notable feature of the fire point is that the radiation energy in the mid-infrared band is higher than that of the ground objects at normal temperature. The brightness temperature of the object can be calculated through the radiant energy observed by remote sensing, and based on the above characteristics, an appropriate brightness temp...

AI Technical Summary

Problems solved by technology

[0006] Judging from the current research results, there are many researches on the fire point monitoring algorithm based on MODIS and AVHRR sensors at home and abroad, and the fire point algorithm is relatively mature, but the spatial resolution of the two sensors is 1000m and 1100m respectively, and the spatial resolution is relatively low. Still in the research stage, failed to effectively and continuously monitor the operation of straw burning sites

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