| 时序InSAR技术探测芒康地区滑坡灾害隐患 |
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| 引用本文： | 张亚迪,李煜东,董杰,范强,车彬,张路,周杨,廖明生.时序InSAR技术探测芒康地区滑坡灾害隐患[J].遥感学报,2019,23(5):987-996. |
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| 作者姓名： | 张亚迪 李煜东 董杰 范强 车彬 张路 周杨 廖明生 |
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| 作者单位： | 国家电网公司西南分部, 成都 610041,武汉大学 测绘遥感信息工程国家重点实验室, 武汉 430079,武汉大学 测绘遥感信息工程国家重点实验室, 武汉 430079,国家电网公司西南分部, 成都 610041,国家电网公司西南分部, 成都 610041,武汉大学 测绘遥感信息工程国家重点实验室, 武汉 430079,北京洛斯达数字遥感技术有限公司, 北京 100120,武汉大学 测绘遥感信息工程国家重点实验室, 武汉 430079 |
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| 基金项目： | 国家重点研发计划（编号：2017YFB0502700）；国家自然科学基金（编号：61331016，41774006）；国家电网公司科技项目资助（编号：SGXN0000AQJS1600002）；ALOSRA项目（编号：1247，1440，3248）；“龙”计划项目（编号：32778） |
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| 摘 要： | 位于中国西藏自治区东南部的芒康地区受自然条件制约和人类活动影响，近年来滑坡等地质灾害频发，对电网建设运行、交通干线通行和人民生命财产安全构成严重威胁，亟需有效技术手段对该地区分布的滑坡灾害隐患进行探测识别，从而为防灾减灾提供决策信息支持。采用小基线集（SBAS）时间序列雷达干涉测量技术，对覆盖芒康地区的历史存档ALOS PALSAR和ENVISAT ASAR数据集进行处理分析，探测发现了分布在318国道沿线和金沙江河谷的多处疑似滑坡灾害隐患点，获得了潜在滑坡形变的空间分布图和时间演化特征，证明了时序InSAR技术应用于藏东区域地质灾害调查的可行性和有效性。
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| 关 键 词： | 遥感 滑坡探测 雷达干涉测量 小基线集 时间序列分析 形变特征 |
| 收稿时间： | 2018/1/29 0:00:00 |
Landslide hazard detection in Markam with time-series InSAR analyses |
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| ZHANG Yadi,LI Yudong,DONG Jie,FAN Qiang,CHE Bin,ZHANG Lu,ZHOU Yang and LIAO Mingsheng.Landslide hazard detection in Markam with time-series InSAR analyses[J].Journal of Remote Sensing,2019,23(5):987-996. |
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| Authors: | ZHANG Yadi LI Yudong DONG Jie FAN Qiang CHE Bin ZHANG Lu ZHOU Yang and LIAO Mingsheng |
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| Institution: | Southwest Section of State Grid Corporation of China, Chengdu 610041, China,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China,Southwest Section of State Grid Corporation of China, Chengdu 610041, China,Southwest Section of State Grid Corporation of China, Chengdu 610041, China,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China,Beijing North-Star Digital Remote Sensing Technology Co. Ltd, Beijing 100120, China and State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China |
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| Abstract: | In recent years, geological disasters like landslides have often occurred within the Markam area, which is located in the southeastern part of Tibet Autonomous Region. The stability of these landslides is affected by factors such as physical geographical/meteorological conditions and anthropogenic activities. These factors pose great threats to power grid construction/operation, major transportations, and public security. Hence, effective technologies are needed to detect potential landslide hazards within this area and provide key supports for decision making regarding disaster prevention and reduction. This study employed the small baseline subset InSAR technique to process archived SAR data stacks acquired by ALOS PALSAR and ENVISAT ASAR covering the Markam area. A few suspected landslide hazard sites are identified along National Highway 318 and the Valley of Jinsha River. Spatial distribution and temporal evolution patterns of the surface displacements upon these unstable slopes are characterized. |
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| Keywords: | remote sensing landslide detection InSAR SBAS time series analysis displacement characters |
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