Method for discriminating potential fire points by using BFAST algorithm

A fire point and potential technology, which is applied in the field of identifying potential fire points using the BFAST algorithm, can solve the problems that potential fire points cannot meet regional differences, improve the fire point judgment rate, have adaptability and flexibility, and overcome The effect of regional differences

Active Publication Date: 2021-11-05
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

[0007] The purpose of the present invention is to provide a method of using BFAST algorithm to distinguish potential fire points, which is more adaptable and flexible for fire point discrimination, and overcomes the deficiency that fixed thresholds cannot satisfy regional differences in judging potential fire points

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  • Method for discriminating potential fire points by using BFAST algorithm
  • Method for discriminating potential fire points by using BFAST algorithm
  • Method for discriminating potential fire points by using BFAST algorithm

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] like figure 2 and 3 As shown in a, this embodiment selects San Diego, USA as a sample for research. San Diego is a city on the Pacific coast of California, USA, located in the southwest of California, 20 kilometers south of the Mexican border, 117.6°-116.0° west longitude, 32.5°-33.6° north latitude. Population 1.34 million, area 963km 2 , is the second largest city in California. The annual average temperature in Diego City is about 70 degrees Fah...

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Abstract

The invention discloses a method for discriminating potential fire points by using a BFAST algorithm, which relates to the field of fire science, and comprises the following steps of firstly, constructing time sequence data for MOD02 and MOD03 data to obtain time sequence daily value data of NDVI and brightness temperature, then recognizing breakpoints in the time sequence daily value data of the NDVI and the brightness temperature by using a time sequence breakpoint recognition algorithm, taking the identified breakpoint as a potential fire point, adopting a space context analysis method to judge relative fire points from the potential fire points, and extracting real fire points from data of the autonomous modular sensor, comparing the relative fire points with the real fire points, and verifying the correctness and the omission rate of the relative fire points. According to the method, the potential fire points are judged by using the BFAST algorithm to detect the time sequence data breakpoints, so that the method is more adaptive and flexible, the defect that the regional difference cannot be met when the potential fire points are judged by a fixed threshold is overcome, and the fire point judgment rate is improved.

Description

[0001] The present invention is a divisional application titled "A MODIS-Based Fire Point Detection Method for Forest Fire", wherein the application number of the parent application is 201710049523.9, and the filing date is 20170123. technical field [0002] The invention relates to the field of fire science, in particular to a method for discriminating potential fire points by using the BFAST algorithm. Background technique [0003] With the development of MODIS fire point detection products, corresponding algorithms are constantly enriched. At present, forest fire detection algorithms mainly include spectral method, threshold method, spatial context analysis method, multi-temporal method and so on. The spectral method uses the spectral difference between the fire point and other ground objects to enhance the image information and visually and qualitatively understand the approximate location of the fire point. The threshold value method is based on the prior information o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/00
CPCG01J5/0018G01J5/0066
Inventor 宫阿都苏永荣吕潇然尹晓天李静
Owner BEIJING NORMAL UNIVERSITY
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