Abstract
Artificial fire is the main cause of forest fires, and human intervention can reduce the occurrence of forest fires. Yunnan province is a province with a high incidence of forest fires. A large number of flammable shrubbery are distributed in many regions. The study on the time scale and space scale of shrubbery fires caused by human disturbance is conducive to the study on the evolution of the space-time pattern of shrubbery fires and the reduction of forest fires. Based on Yunnan province from 1990 to 2018 shrubbery fire data, combined with ArcGIS geographic information system, BP neural network analysis of the impact of human interference on Yunnan shrubbery fire and shrubbery fire time and space changes. The research results can provide some theoretical support for forest fire management departments.
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