Visualization Method of Geological Data Deformation Monitoring Combining with Cesium and Geoserver
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    With the integration of geological research and big data, massive geological data with “multiple heterogeneity, high capacity and low value density” has been formed. Especially in urban construction, the monitoring data of geological deformation which reflects the ground surface and land subsidence features large capacity, time-varying property and complex dimensions. How to use visualization techniques to serve geological research analysis and problem decision more intuitively has become a hot spot of data visualization research and application in the field. To solve the problem, this paper presents a visualization method to display the monitoring situation of regional subsidence deformation under the Web three-dimensional scene constructed by the fusion of Cesium and GeoServer with the data collected by Interferometric Synthetic Aperture Radar (InSAR). Regarding the effect of deformation layer display, we create a way to dynamically change the transition color of the point cloud data from deformation monitoring, which is different from the single rendering effect of Google Earth. It is compared with ENVI/SARscape in terms of visual analysis interaction. The results of practice and application show that, in comparison with traditional methods such as two-dimensional display and integrated display of data imported from Google Earth, the proposed method can display deformation monitoring results more intuitively. In addition, it has more abundant man-machine interaction modes, which thus provides a better auxiliary decision-making function for geological professionals.

    Reference
    Related
    Cited by
Get Citation

杨明奇,周程,付立军,王宏君,安梦良.融合Cesium和Geoserver的地质数据形变监测可视化方法.计算机系统应用,2021,30(11):179-187

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:January 18,2021
  • Revised:February 23,2021
  • Adopted:
  • Online: October 22,2021
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063