A Fire Detection Method Based on Multi-temporal Landsat-8 OLI Image Shortwave Infrared

A short-wave infrared, detection method technology, applied in image analysis, image enhancement, image data processing and other directions, can solve problems such as false detection

Active Publication Date: 2021-03-26
TONGJI UNIV
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Problems solved by technology

However, it is very easy to ignore the changes of other surface features, such as water bodies, bare land, smoke and towns, etc., by only using the two change characteristics of vegetation reduction (forest land) and burning residue deposition (forest fire) after the fire, resulting in false detection phenomenon

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  • A Fire Detection Method Based on Multi-temporal Landsat-8 OLI Image Shortwave Infrared
  • A Fire Detection Method Based on Multi-temporal Landsat-8 OLI Image Shortwave Infrared
  • A Fire Detection Method Based on Multi-temporal Landsat-8 OLI Image Shortwave Infrared

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Experimental program
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Embodiment

[0043] The experimental data adopts medium-resolution Landsat-8 satellite remote sensing Level 1 (L1) product data, and the map projection is UTM-WGS84 Antarctica polar projection, all of which come from the official website of the United States Geological Survey (USGS). A total of time-phase image data before and after the fire in three research areas are included: (1) The first research area is located in Alaska, USA, known as the Anchorage Fire (Sockeye Fire, referred to as SF); (2) The second research area is Alaska, Australia. The Sampson Flat Fire (SFF for short) in Dryde; (3) The third study area is the Grampians National Park Fire (GNPF for short) in Victoria, southeastern Australia. Details are shown in Table 1.

[0044] Table 1 Introduction of Landsat-8 data used in the three fire research areas

[0045]

[0046]

[0047] Experimental results:

[0048] 1. Analysis of separation ability of fire and non-fire areas with different indices

[0049] Based on a certa...

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Abstract

The invention relates to a fire detection method based on multi-temporal Landsat-8 OLI image short-wave infrared, comprising the following steps: 1) acquiring satellite fire area image data, and preprocessing the temporal images before and after the fire; 2) after preprocessing Calculate the NBRSWIR index map from the image; 3) Perform a difference operation on the index maps of the front and back phases to obtain the NBRSWIR difference map, and judge the fire area based on the NBRSWIR difference map. Compared with the prior art, the present invention has the advantages of being accurate, fast, effective and practical.

Description

technical field [0001] The invention relates to the field of fire detection, in particular to a fire detection method based on multi-temporal Landsat-8 OLI image short-wave infrared. Background technique [0002] In recent decades, scholars at home and abroad have carried out extensive research on forest fire information extraction based on remote sensing images. Initially, low-resolution satellite image data such as NOAA / AVHRR and EOS / MODIS were mostly used to monitor forest fires. Although they have a high time resolution, they can only monitor the disaster situation in a large area with a coarse spatial resolution, and the extraction of forest fire information is limited to using infrared to perform surface temperature retrieval to detect fire points and make fire monitoring Fig. 1 shows that the extraction error for burnt areas is relatively large. The start of the medium-resolution Landsat program has greatly improved the accuracy of fire extraction. Among them, the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/136
CPCG06T7/136G06T2207/10048G06T2207/10032G06T2207/30188G06V20/188
Inventor 柳思聪郑永杰童小华金雁敏谢欢胡清马小龙
Owner TONGJI UNIV
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