A ground factory monitoring method

Abstract

The invention discloses a ground factory monitoring method, which solves the problems of poor recognition accuracy and low recognition rate of ground factory pollution point sources in the existing monitoring method. The method includes the following steps: obtaining the thermal anomaly data of the monitored area; removing thermal anomaly points with a confidence level of 0 from the thermal anomaly data of the I4 band according to the ground coordinates, and obtaining the inversion result of the thermal anomaly; performing atmospheric analysis on the thermal anomaly data of the I1 and I2 band Correction, calculate normalized vegetation index of each ground coordinate; find out the maximum value of normalized vegetation index of each ground coordinate in the monitored area; perform cluster analysis on the inversion results of thermal anomalies, distinguish thermal anomaly point groups; eliminate normalized vegetation index according to ground coordinates The ground factory identification point group is obtained by synthesizing the thermal abnormal point group whose maximum value of the vegetation index exceeds the normal range; performing circumscribed polygon fitting on the ground factory identification point group data to establish the ground factory emission point source database. The invention realizes the rapid and effective identification, location and area monitoring of the pollution point source of the ground factory.

Description

technical field [0001] The invention relates to the field of thermal infrared remote sensing monitoring, in particular to a ground factory monitoring method. Background technique [0002] Existing satellite remote sensing technologies are mainly based on satellite remote sensing data with a spatial resolution of 1 km or lower to monitor the urban heat island effect, such as MIDIS and AVHRR, which can only provide macroscopic information on heat sources in a large area, and cannot target specific factory point sources. Positioning and area monitoring. Satellite remote sensing data based on meter-level high spatial resolution, such as Landsat, Spot, and WorldView, have the disadvantages of high manpower and computing costs, and are limited by satellite bands and transit cycles, so it is impossible to conduct daily daytime monitoring of ground factory point sources. Observations at night and at night are not conducive to the investigation of the factory's emission status by th...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a ground factory monitoring method, which solves the problems of low identification accuracy and low recognition rate of ground factory pollution point sources in the existing monitoring method

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