Forest fire fire point detection method based on MODIS

Abstract

The invention discloses a forest fire fire point detection method based on an MODIS. Firstly, time sequence data is established for multiple days of MOD02 and MOD03 data from the MODIS, time sequence daily value data of multiple days of NDVI and brightness temperature is obtained, break points in the time sequence daily value data of the NDVI and brightness temperature are recognized through a time sequence break point recognition algorithm, and the recognized break points serve as potential fire points; relative fire points are distinguished from the potential fire points through a space context analysis method; real fire points are extracted from autonomous modular sensor data, the relative fire points are compared with the real fire points, and the correctness and leakage rate of the relative fire points are verified. The potential fire points are distinguished through the method that the time sequence data break points are detected through the BFAST algorithm without determining the potential fire points through fixed threshold values, therefore the algorithm has higher adaptability and flexibility for fire point distinguishing, the defects that the regional difference cannot be met by distinguishing the potential fire points through the fixed threshold values is overcome, and the fire point correctly discriminating rate is increased.

Description

technical field [0001] The invention relates to a forest fire fire point detection method based on MODIS. Background technique [0002] Forests are a major natural resource and play an important role in maintaining environmental balance. Frequent forest fires will directly lead to forest degradation, seriously threatening the life and health of surface vegetation and wild animals. In view of the seriousness of forest fires, timely and accurate detection of forest fires is of great significance to reduce disaster losses, protect forest resources and wild animals, grasp the laws of climate change, and maintain ecological balance. In recent years, remote sensing methods with wide coverage and high temporal and spatial resolution have been widely used in monitoring forest fires. The MODIS sensor has a wide scanning range, belongs to the sun-synchronous near-polar orbit, and has suitable spatial and spectral resolutions. It has good applicability and unique advantages in fire m...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the current forest fire point detection method, the context analysis method needs to determine the potential fire point through a fixed threshold, poor flexibility, and insufficient consideration of regional differences; the multi-temporal fire point detection method needs to carry out statistical analysis and changes on historical data Threshold setting, inconvenient technical issues

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