Development of Static Differential Method GNSS CORS UDIP for Monitoring Land Subsidence in Semarang Demak

被引:0
|
作者
Yuwono, B. D. [1 ]
Abidin, H. Z. [2 ]
Andreas, H. [2 ]
Gumilar, I. [2 ]
Awaluddin, M. [1 ]
Najib [1 ]
机构
[1] Diponegoro Univ, Fac Engn, Dept Geodesy, Semarang, Indonesia
[2] Inst Technol Bandung, Fac Earth Sci & Technol, Geodesy Res Grp, Bandung, Indonesia
关键词
Land Subsidence; Static Differential; CORS;
D O I
10.1166/asl.2017.8718
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Semarang is the capital of Central Java province, located in the northern coast of Java, with an area of about 373.67 km(2), and a population of about 1.5 millions. Urban development has grown very rapidly in the trade, industry, real estate and settlement. That has induced several environmental problems, one of which is Land Subsidence. The subsidence rate is usually a small magnitude, reaching the millimeter level. To measure such a small level of subsidence rate, both Static Differential Method using dual-frequency GPS Receiver and strategic data processing will be applied. The data will be processed using scientific software GAMIT 10.6 with precise ephemeris and differencing techniques to eliminate tropospheric refraction and lonosfer error. This Paper will mainly discuss the development of Static Differential using CORS (Continuously Operating Reference Stations) UDIP for monitoring land subsidence. Land Subsidence analysis will be performed using the t test. The Objective of this research is to comprehensively determine the distribution of land subsidence rate both spatially and temporally in Semarang Demak.
引用
收藏
页码:2207 / 2210
页数:4
相关论文
共 50 条
  • [31] Detecting, mapping and monitoring of land subsidence in Jharia Coalfield, Jharkhand, India by spaceborne differential interferometric SAR, GPS and precision levelling techniques
    Chatterjee, R. S.
    Thapa, Shailaja
    Singh, K. B.
    Varunakumar, G.
    Raju, E. V. R.
    JOURNAL OF EARTH SYSTEM SCIENCE, 2015, 124 (06) : 1359 - 1376
  • [32] Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data
    Zhang, Yang
    Liu, Yaolin
    Jin, Manqi
    Jing, Ying
    Liu, Yi
    Liu, Yanfang
    Sun, Wei
    Wei, Junqing
    Chen, Yiyun
    SENSORS, 2019, 19 (03):
  • [33] Land Subsidence Monitoring Method in Regions of Variable Radar Reflection Characteristics by Integrating PS-InSAR and SBAS-InSAR Techniques
    Zhang, Peng
    Guo, Zihao
    Guo, Shuangfeng
    Xia, Jin
    REMOTE SENSING, 2022, 14 (14)
  • [34] The Development of a FOG Based Tightly Coupled GNSS/INS Integrated System with Simple Temperature Compensation Method for Land Applications
    Liao, J-K.
    Duong, T-T.
    Chiang, K-W.
    Kuo, T-H.
    PROCEEDINGS OF THE 26TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2013), 2013, : 2204 - 2212
  • [35] Monitoring Land Subsidence in North-central Henan Plain using the SBAS-InSAR Method with Sentinel-1 Imagery Data
    Yongfa Li
    Xiaoqing Zuo
    Peng Xiong
    Zhenting Chen
    Fang Yang
    Xiangxin Li
    Journal of the Indian Society of Remote Sensing, 2022, 50 : 635 - 655
  • [36] Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China
    Xu, Bing
    Feng, Guangcai
    Li, Zhiwei
    Wang, Qijie
    Wang, Changcheng
    Xie, Rongan
    REMOTE SENSING, 2016, 8 (08)
  • [37] Monitoring Land Subsidence in North-central Henan Plain using the SBAS-InSAR Method with Sentinel-1 Imagery Data
    Li, Yongfa
    Zuo, Xiaoqing
    Xiong, Peng
    Chen, Zhenting
    Yang, Fang
    Li, Xiangxin
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2022, 50 (04) : 635 - 655
  • [38] A Novel Phase Unwrapping Method Used for Monitoring the Land Subsidence in Coal Mining Area Based on U-Net Convolutional Neural Network
    Wang, Zhiyong
    Li, Lu
    Yu, Yaran
    Wang, Jian
    Li, Zhenjin
    Liu, Wei
    FRONTIERS IN EARTH SCIENCE, 2021, 9
  • [39] Urban land subsidence monitoring and risk assessment using the point target based SBAS-InSAR method: a case study of Changsha City
    He, Yang
    Li, Xueyu
    Yang, Jiancheng
    Liu, Yiming
    Yang, Guihua
    Hu, Miaowen
    Chen, Shuaiqi
    Yao, Haipeng
    Wang, Lingjue
    Xiong, Xiong
    REMOTE SENSING LETTERS, 2024, 15 (07) : 689 - 699
  • [40] Discussion on Remote Dynamic Sensing Monitoring Method for Land in Regions under Rapid Economic Development
    Xie, Zhengdong
    Zhang, Jian
    Peng, Buzhuo
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 5788 - 5792