Affiliation:
1. College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
Abstract
Because of the special geographical location, dry weather, high temperature and dense vegetation in Liangshan, Sichuan, it is easy to cause forest fires, so it is of great significance to use remote sensing data to evaluate forest fires in Liangshan, Sichuan. In this paper, the forest fire in Muli County, Liangshan, Sichuan Province on March 28th, 2020 was evaluated by using Landsat-8 remote sensing data which can be obtained free of charge. The NDVI of the pre-processed remote sensing images before and after the fire was calculated respectively. After the difference was made, the threshold of the classification of fire and non-fire areas was determined according to the maximum inter-class difference threshold method, and then the over-fire areas were extracted, and the interference was eliminated by open operation. And using the DEM data of the study area, combined with the topography of the study area, the over-fire area is analyzed. The results show that the "3.28" forest fire in Muli County, Sichuan Province, which is studied, belongs to a serious forest fire according to the burned area.
Publisher
Institute of Emerging and Computer Engineers Inc
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献