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Forest fire identification method based on MODIS data

A recognition method and recognition algorithm technology, applied in the field of forest fire recognition, can solve problems such as clutter interference, false fire point misjudgment and false alarm, etc., and achieve the effect of high time frequency, wide range and high accuracy

Inactive Publication Date: 2018-11-27
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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Problems solved by technology

[0005] However, these methods need to be improved in terms of technical accuracy and real-time performance. Today, when remote sensing technology is applied to forest fire prevention, false fire points are often misjudged and falsely reported due to cloud reflections, solar flares, and clutter interference.

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  • Forest fire identification method based on MODIS data
  • Forest fire identification method based on MODIS data
  • Forest fire identification method based on MODIS data

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Embodiment Construction

[0018] Such as figure 1 As shown, it is a general process of generating forest fire images and hotspot identification, which includes data receiving, preprocessing and projection transformation, channel enhancement and color synthesis, surface positioning, and image recognition processes.

[0019] Satellite forest fire monitoring uses satellites as space platforms to transmit, receive, interpret, and monitor forest fires and monitor their behavior through the transmission, reception, interpretation, and monitoring of sensor data. Since any object above the absolute temperature radiates radiant energy in the form of electromagnetic waves, the monitoring of forest fires by satellites is to use the high-resolution radiometers mounted on satellites to scan the surface of the earth from hundreds of kilometers through the atmospheric window. Detects the thermal radiation energy emitted by objects on the ground to identify forest fires.

[0020] The satellite forest fire monitoring ...

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Abstract

The invention relates to a forest fire identification method based on MODIS data. The method includes the following steps: selecting a data set; performing data preprocessing; using the absolute hot spot identification algorithm and the forward-backward association identification algorithm to identify forest fires according to MODIS data; and generating an identified forest fire remote sensing image. Meteorological satellite monitoring can timely detect early fires and extinguish the fires as soon as possible, can be used to monitor the trend and expansion of the forest fires, and can track and monitor serious forest fire disasters.

Description

technical field [0001] The invention relates to a forest fire identification method based on MODIS data. Background technique [0002] Nowadays, the rapid development of RS, GIS, and GPS (3S) has not only made great progress in remote sensing monitoring of forest fires, but the continuous improvement of technology has also made the system tend to develop in the direction of automation and intelligence. The NOAA satellites of the National Oceanic and Atmospheric Administration of the United States and the Geostationary Operational Environmental Satellite (GOES) satellites are the first platforms used in forest fire monitoring, and they have played a huge role in fire monitoring. NOAA / AVHRR data is extremely useful in detecting fires worldwide. 1981 used a theoretical model of sub-pixel temperature, which was eliminated by AVHRR data, and laid a theoretical foundation for further research. On this basis, AVHRR data is used for in-depth research on different countries and reg...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/62
CPCG06T7/62G06T2207/10032G06T2207/30188G06V20/13
Inventor 谭三清张贵王赛专李建军
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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