摘要
2018年10月和11月,在金沙江川藏交界处江达县波罗乡白格村先后发生两次特大型高位岩质滑坡,堵塞金沙江,造成严重财产损失。文中基于多光谱遥感数据,针对区域光谱信息,采用统计分析与小波变换方法,分季探究了滑坡敏感性因子,分析了白格滑坡形变的时空特征。结果表明:(1)Landsat影像中,NIR、SWIR1和SWIR2波段是识别滑坡发育的敏感波段,归一化水汽指数可作为表征雨季滑坡动态变化的敏感指标,SWIR2可作为表征旱季滑坡体动态变化的关键因子;(2)利用地物光谱捕获到了滑坡动态发育的转折点,1998-2019年,白格滑坡区存在3个变形期,即:1998-2001年的缓慢变形期,2005-2009年的初加速变形期,2014-2018年的加速变形期;(3)在旱季,SWIR2波段反射率可用于区分白格滑坡不同部位的形变特征;在雨季,归一化水汽指数对监测区内植被覆盖区及裸露区有良好的区分度。
In October and November 2018,two large high-locality rock landslides occurred in Baige Village,Polo Township,Jiangda County,Sichuan-Tibet junction of Jinsha River,blocking Jinsha River and causing serious property losses.Based on the multi-spectral remote sensing data and the regional spectral information,this paper uses the statistical analysis and wavelet transform methods to explore the landslide sensitivity factors in different seasons,and analyzes the temporal and spatial characteristics of Baige landslide deformation.The results show that:(1)In Landsat images,the NIR,SWIR1 and SWIR2 bands are the sensitive bands to identify the development of the landslide,the Normalized Different Moisture Index can be used as a sensitive index to characterize the dynamic changes of the landslide in the rainy season,and SWIR2 can be used as the key factor to characterize the dynamic changes of the landslide in the dry season;(2)The turning point of landslide dynamic development was captured by ground object spectrum,from 1998 to 2019,there were three deformation periods in Baige landslide area,namely,the slow deformation period from 1998 to 2001,the initial accelerated deformation period from 2005 to 2009,and the accelerated deformation period from 2014 to 2018;(3)In the dry season,the reflectivity of SWIR2 band can be used to distinguish the deformation characteristics of different parts of the Baige landslide.In the rainy season,the Normalized Different Moisture Index has a good degree of distinguishing the vegetation coverage and bare areas in the monitoring area.
作者
陈靖
文广超
谢洪波
张哲伟
陈红旗
CHEN Jing;WEN Guangchao;XIE Hongbo;ZHANG Zhewei;CHEN Hongqi(College of Resources and Environment,Henan Polytechnic University,Jiaozuo 454000,China;China Institute of Geo-Environment Monitoring,Beijing 100081,China)
出处
《自然灾害学报》
CSCD
北大核心
2022年第6期239-247,共9页
Journal of Natural Disasters
基金
河南省科技攻关项目(212102310389)。
关键词
白格
小波分析
光谱曲线
滑坡发育
遥感监测
Baige
wavelet analysis
spectral curve
landslide development
remote sensing monitoring
