会议论文详细信息
35th International Symposium on Remote Sensing of Environment
A method for geological hazard extraction using high-resolution remote sensing
地球科学;生态环境科学
Wang, Q.J.^1 ; Li, M.X.^2 ; Chen, Y.^1 ; Bi, J.T.^1 ; Lin, Q.Z.^1
Key Laboratory of Digital Earth, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, No. 9 Deng Zhuang South Road Haidian District, Beijing, China^1
China Earthquake Networks Center, No. 5 Sanlihe Nanheng Street Xicheng District, Beijing, China^2
关键词: Degree of damages;    Digital elevation model;    Disaster response;    Geological disaster;    Geological hazards;    High resolution remote sensing;    High resolution remote sensing imagery;    Wenchuan Earthquake;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012172/pdf
DOI  :  10.1088/1755-1315/17/1/012172
学科分类:环境科学(综合)
来源: IOP
PDF
【 摘 要 】

Taking Yingxiu, the epicentre of the Wenchuan earthquake, as the study area, a method for geological disaster extraction using high-resolution remote sensing imagery was proposed in this study. A high-resolution Digital Elevation Model (DEM) was used to create mask imagery to remove interfering factors such as buildings and water at low altitudes. Then, the mask imagery was diced into several small parts to reduce the large images' inconsistency, and they were used as the sources to be classified. After that, vector conversion was done on the classified imagery in ArcGIS. Finally, to ensure accuracy, other interfering factors such as buildings at high altitudes, bare land, and land covered by little vegetation were removed manually. Because the method can extract geological hazards in a short time, it is of great importance for decision-makers and rescuers who need to know the degree of damage in the disaster area, especially within 72 hours after an earthquake. Therefore, the method will play an important role in decision making, rescue, and disaster response planning.

【 预 览 】
附件列表
Files Size Format View
A method for geological hazard extraction using high-resolution remote sensing 888KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:27次