摘要
本文选取张家口某地2022年4月份的陆地卫星9号(Landsat 9)影像,反演相应归一化差分植被指数、积雪指数、湿度指数和表观温度,通过主成分分析获取关键信息,结合当地地理条件讨论对林火的影响。研究表明:研究区内西南侧温度高,植被含水量低,林火风险较高,成片分布,容易发生草原森林火灾蔓延;东侧和北侧温度低,植被含水量高,积雪呈网状分布,对于林火蔓延起到很好的限制作用。研究为林火蔓延模拟等研究提供数据支持和理论依据。
In this paper,the Landsat 9 image of an area in Zhangjiakou in April 2022 was selected to retrieve the corresponding normalized difference vegetation index,snow cover index,humidity index and apparent temperature.Key information was obtained through principal component analysis,and the impact on forest fire was discussed in combination with local geographical conditions.The research showed that the southwest side of the study area had high temperature,low vegetation moisture content,high forest fire risk,and was prone to grassland forest fire spread;The temperature in the east and north was low,the moisture content of vegetation was high,and the snow was distributed in a network,which played a good role in limiting the spread of forest fire.The study provided data support and theoretical basis for the simulation of forest fire spread.
作者
李美祺
史保林
沈涛
毛曦
LI Meiqi;SHI Baolin;SHEN Tao;MAO Xi(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;Beijing Litiel Rail Transit Equipment Company Limited,Beijing 100020,China;Chinese Academy of Surveying and Mapping,Beijing 100036,China)
出处
《北京测绘》
2023年第3期330-335,共6页
Beijing Surveying and Mapping
基金
北京市科技计划(Z181100005318003)。
关键词
陆地卫星9号
主成分分析
遥感指数
空间分布
林火
Landsat 9
principal component analysis
remote sensing indices
distribution
wild fire
