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Forest fire monitoring method and system based on remote sensing big data

A forest fire and big data technology, which is applied to forest fire alarms, fire alarms, instruments, etc., can solve the problem of large early warning range and achieve better prevention and more timely extinguishing effects

Active Publication Date: 2022-02-18
浙江时空智子大数据有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The forest fire early warning signal system has provided great help for forest fire prevention, but the early warning range provided by the forest fire early warning signal has brought certain pressure to the arrangement of forest fire prevention personnel

Method used

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  • Forest fire monitoring method and system based on remote sensing big data
  • Forest fire monitoring method and system based on remote sensing big data
  • Forest fire monitoring method and system based on remote sensing big data

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Embodiment

[0034] Such as figure 1 As shown, a forest fire monitoring method based on remote sensing big data, the method is as follows:

[0035] A. Collect remote sensing big data. Remote sensing big data includes terrain data, natural condition data, satellite data, terrain data includes DEM data, natural condition data includes air humidity, relative humidity, rainfall and average wind speed, satellite data includes fire data, cover be data and reflectance data. In step A, use Python third-party package and ArcGIS system to convert fire data into point data and filter out fire point data and non-fire point data equivalent to it. The attribute value of fire point data is greater than 0, and the attribute value of non-fire point data is The value is 0.

[0036]According to a preferred embodiment of this embodiment, regional remote sensing big data (including fire monitoring remote sensing big data and land cover data) are obtained, the data are preprocessed, and forest fire informatio...

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Abstract

The invention discloses a forest fire monitoring method and system based on remote sensing big data, and the method comprises the following steps: A, collecting remote sensing big data which comprises topographic data, natural condition data and satellite data; B, utilizing an ArcGIS system to calculate the altitude, the gradient data and the slope direction data according to the DEM data; calculating NDWI data by utilizing ENVI software in combination with natural condition data and satellite data; c, constructing a forest fire prediction model, and performing Pearson's correlation coefficient of each influence factor on the remote sensing big data by using an SPSS software system; and D, performing multi-feature training and precision verification on the forest fire prediction model by adopting a random forest algorithm and combining a plurality of weak learners. According to the invention, satellite data, meteorological data, topographic data and natural condition data are combined, early warning is carried out for a forest flammable area, more effective forest fire early warning data are provided for a forest fire emergency management department, forest fire can be prevented in advance, and more reasonable arrangement is carried out for fire prevention.

Description

technical field [0001] The invention relates to the field of forest fire monitoring, in particular to a forest fire monitoring method and system based on remote sensing big data. Background technique [0002] With global climate change, forest fires occur more and more frequently, and the burned area after fires also increases with climate change, causing casualties and economic losses. Affected by meteorological factors such as weather, unpredictable changes will occur, which will have an impact on fire fighting operations. Therefore, how to carry out early warning and prediction for forest flammable areas is particularly important. [0003] In order to monitor forest fires in real time, the current monitoring methods include ground monitoring network and remote sensing image monitoring. The ground detection network uses equipment such as high-definition fog-penetrating cameras and thermal imaging cameras, combined with the commanding heights of fire observation, to estab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B31/00G08B17/00
CPCG08B31/00G08B17/005Y02A40/28
Inventor 董恒王姊辉游林何思聪
Owner 浙江时空智子大数据有限公司
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