Forest Fire Area Extraction From Multi-Source Remote Sensing Data——A Case Study of Guxianding Scenic Spot
The remote sensing image data from Landsat-8OLI series satellites and Gaofen No.l series satellites are utilized as the foundational research data for investigating the"May 29"forest fire in Guxianding Scenic spot,Weihai City,Shandong Province.Following a sequence of preprocessing steps on the remote sensing image data spanning eight years before and after the occurrence of the forest fire,the normalized vegetation index is compu-ted for the study area.Subsequently,a threshold value is established using a difference method to extract the burn-ed area.The alteration in vegetation coverage,calculated through a pixel binary model based on the normalized vegetation index,is employed to analyze subsequent vegetation restoration within this burnt land region.Further-more,by considering actual conditions specifiic to this study area,an analysis is conducted on processed data re-sults along with reasonable speculation and evaluation encompassing various factors.Finally,meteorological data pertaining to this study area are integrated to examine factors influencing changes in both normalized vegetation index values and vegetation coverage values.
NETL
NSTL
万方数据
