%0 Journal Article
%T 基于Stacking时序InSAR的北泉矿区沉陷监测<br>Ground Subsidence Detection of Beiquan Mining Area Based on Stacking Time-Series InSAR
%A 沙永莲
%A 刘国祥
%A 王晓文
%A 张瑞
%A 张波
%A 李诗娆
%J Geomatics Science and Technology
%P 60-67
%@ 2329-7239
%D 2020
%I Hans Publishing
%R 10.12677/GST.2020.82008
%X 矿区沉陷监测为其安全生产提供支撑信息。基于Stacking时序InSAR技术，利用73景覆盖新疆哈密北泉1矿和北泉2矿的Sentinel-1A数据，对该区域在2017年3月16日至2019年10月8日期间的地表沉陷进行监测，获取研究区时间序列地表沉陷信息。结果表明，矿区范围内存在三个沉陷漏斗，最大年均沉陷速率达？154 mm/a，并且矿区沉陷受到冰冻期等气候影响，具有一定的季节性规律。<br />
Mining subsidence monitoring provides supporting information for safety production. Based on the Stacking time-series InSAR technology, using 73 scenes Sentinel-1A data that cover the Beiquan 1 and Beiquan 2 mines site in Hami, Xinjiang, the surface subsidence of the study area from March 16, 2017 to October 8, 2019 was monitored, and we acquired time-series ground subsidence information. The results show that there are three subsidence funnels within the mining area, the maximum annual subsidence rate is ？154 mm/a, and the subsidence of the mining area is affected by climate such as the freezing period, which has a certain seasonal pattern.
%K Stacking，北泉1矿，北泉2矿，矿区沉陷<br>Stacking
%K Beiquan 1 Mine
%K Beiquan 2 Mine
%K Mining Subsidence
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=34933