多源遥感数据的森林火灾范围提取研究——以姑仙顶景区为例
Forest Fire Area Extraction From Multi-Source Remote Sensing Data——A Case Study of Guxianding Scenic Spot
章雯 1杨燕玲 2朱健 王茜茜 万士帧 周萌
作者信息
- 1. 江西省自然资源测绘与监测院,江西南昌 330000
- 2. 赣南科技学院资源与土木工程学院,江西赣州 341000
- 折叠
摘要
以Landsat-8 OLI系列卫星以及高分一号系列卫星的遥感影像数据作为山东省威海市区域姑仙顶景区"5·29"森林火灾的研究数据基础.对森林火灾发生前后共8年的遥感影像数据进行一系列的数据预处理后,计算研究区域的归一化植被指数,并利用差值法设置阈值提取过火区域.基于归一化植被指数的像元二分模型计算出的植被覆盖度的变化情况,分析了该地区火烧迹地的后续植被恢复情况.结合研究区域实际,对处理后所得的数据结果进行综合分析与评价,并基于研究区域的气象数据,分析了归一化植被指数值和植被覆盖率值的变化影响因素.
Abstract
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.
关键词
Landsat-8/高分一号/像元二分模型/归一化植被指数/植被覆盖度Key words
Landsat-8/Gaofen No.1/dimidiate pixel model/normalized difference vegetation index/vegetation fraction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据