Research of Forest Fire Points Detection Method Based on MODIS Active Fire Product

Abstract

Forest fire is a common natural disaster, which has a great threat to ecological and human life safety. Compared with the traditional monitoring method, Satellite remote sensing can provide more timely and large-area monitoring in the process of early detection, dynamic tracking, and disaster assessment of forest fires. This paper proposed a forest fire detection method based on MODIS active fire products, by adding Normalized vegetation index (NDVI), slope, elevation, and other factors as identification conditions. To verify the reliability of the proposed method, this paper used the MODIS active fire products data in China in July 2018, the identification accuracy was up to 88.94%, and the missing detection rates were only 4.25%, the error was mainly due to the low spatial resolution of MODIS data. The validation results showed that the overall accuracy of the proposed method was very satisfactory, which can meet the real-time early warning of a forest fire. Moreover, taking a forest fire that occurred in Qinyuan County, Shanxi Province as an example, the paper analyzed how to use the identified forest fire points to monitor the fire and make fire-fighting plans, which proved that using the fire points data can provide scientific bases for forest fire monitoring and extinguishing.