Advanced techniques of multi-temporal InSAR (MT-InSAR) represent a valuable tool in ground subsidence studies allowing remote investigation of the behavior of mass movements in long time intervals by using large datasets of SAR images covering the same area and acquired at different epochs. Beijing is susceptible to subsidence, producing undesirable environmental impacts and affecting dense population. Excessive groundwater withdrawal is thought to be the primary cause of land subsidence, and rapid urbanization and economic development, mass construction of skyscrapers, highways and underground engineering facilities (e.g., subway) are also contributing factors.
Original Source [2]
Technology Partners: MimirTech
Links:
[1] http://admin.indiaenvironmentportal.org.in/feature-article/long-term-land-subsidence-monitoring-beijing-china-using-small-baseline-subset-sbas
[2] http://www.mdpi.com/2072-4292/6/5/3648
[3] http://admin.indiaenvironmentportal.org.in/category/author/bo-hu
[4] http://admin.indiaenvironmentportal.org.in/category/author/han-sheng-wang
[5] http://admin.indiaenvironmentportal.org.in/category/author/yong-ling-sun-et-al
[6] http://admin.indiaenvironmentportal.org.in/category/journal/remote-sensing
[7] http://admin.indiaenvironmentportal.org.in/category/thesaurus/land
[8] http://admin.indiaenvironmentportal.org.in/category/thesaurus/beijing
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/groundwater
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/china
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/remote-sensing
[12] http://admin.indiaenvironmentportal.org.in/category/thesaurus/infrastructure-development
[13] http://admin.indiaenvironmentportal.org.in/category/thesaurus/urbanisation
