1. 中国地质大学(武汉)地理与信息工程学院
2. 中国自然资源航空物探遥感中心
纸质出版:2025
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陈薇, 王盼, 张丽, 等. 利用多时相Sentinel-1数据监测根拉公路冻融形变特征[J]. 地理空间信息, 2025,23(7):11-16.
陈薇, 王盼, 张丽, et al. 利用多时相Sentinel-1数据监测根拉公路冻融形变特征[J]. 2025, 23(7): 11-16.
由于根河—拉布大林公路(根拉公路)穿越东北高纬度多年冻土区,受冻融循环影响严重,其稳定性监测对公路的安全运营和日常养护至关重要。首先利用多时相InSAR技术分析了2016—2020年覆盖根拉公路的Sentinel-1数据,提取了公路及其沿线地区的线性位移速率和季节性位移振幅;然后开展区域线性形变和季节性形变的热点分析,并通过小波变换定量研究地表形变与温度的相关性。结果表明,研究区最大线性位移速率为69.97 mm/a,最大季节性位移振幅为26.34 mm;根拉公路整体路基稳定,但部分路段存在不均匀变形,且受明显的冻融灾害影响;地表形变与温度的共同周期约为374 d,地表形变滞后于温度约38 d。
李成烨.黄河源区多年冻土地表形变InSAR监测研究[D].南京信息工程大学,2023(02).
张昊琛.内蒙古冻土环境时空变化及其对气候变化的响应研究[D].内蒙古师范大学,2023(05).
李益敏,计培琨,杨雪,李媛婷,冯显杰,向倩英.基于PS-InSAR技术的地表形变监测与驱动力分析[J].地理空间信息,2024(09).
吴启琛,于瑞鹏,王丽,赵乙泽,范开放.利用Sentinel-1的山东枣庄高新区地面沉降监测与分析[J].地理空间信息,2024(06).
宝乐尔其木格,张秋良,郝帅.1974—2020年大兴安岭北部多年冻土区积雪变化及其与地面、空气温度的关系[J].地理科学,2024(01).
曹青,刘康龙,郝振纯.松花江流域干旱突变特征及其遥相关因子分析[J].人民长江,2023(12).
唐伟,赵祥君,康彩琴,杨凯钧,毕刚,王金洋,戴华阳,闫壮壮.太原盆地地面沉降时序InSAR监测与季节性变形小波分析[J].地球物理学报,2023(06).
吴金权,辛洋洋,徐文玺,孙田.热棒在根拉公路岛状多年冻土路基工程中的应用研究[J].冰川冻土,2018(05).
朱建军,李志伟,胡俊.InSAR变形监测方法与研究进展[J].测绘学报,2017(10).
袁培,王飞杰.国道332线拉布大林互通立交方案设计[J].建材世界,2017(04).
蒋弥,丁晓利,何秀凤,李志伟,史国强.基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例[J].地球物理学报,2016(10).
李金平.高原冻土区既有公路病害特征和融沉变形分析[J].路基工程,2016(04).
宋欢欢,柳长生.根河至拉布大林一级公路岛状多年冻土特征及处理措施[J].甘肃科技,2012(07).
何瑞霞,金会军,常晓丽,吕兰芝,于少鹏,杨思忠,王绍令,孙广友.东北北部多年冻土的退化现状及原因分析[J].冰川冻土,2009(05).
Shi Xuguo,Niu Fujun,Qu Tengteng,Zhang Hongwei,Jiang Mi,Jiang Houjun,Zhang Zhengjia,Wang Xueying.Stability analysis of Shiwei-Labudalin Highway in Inner Mongolia, Northeastern China using Sentinel-1 InSAR[J].Cold Regions Science and Technology,2022.
Shan Wei,Zhang Chengcheng,Guo Ying,Qiu Lisha.Mapping the Thermal State of Permafrost in Northeast China Based on the Surface Frost Number Model[J].Remote Sensing,2022.
grid.12981.33, 0000 0001 2360 039X, School of Geospatial Engineering and Science, Sun Yat-Sen University, 510275, Guangzhou, China,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), 519082, Zhuhai, China.Sentinel-1 TOPS co-registration over low-coherence areas and its application to velocity estimation using the all pairs shortest path algorithm[J].Journal of Geodesy: Continuation of Bulletin Géodésique and manuscripta geodaetica,2020.
Universidad de Alicante, Dpto. de Ingeniería Civil, EscuelaPolitécnica Superior de Alicante,P. O. Box 99, 03080 Alicante, Spain,Universidad de Alicante, Dpto. de Ingeniería Civil, EscuelaPolitécnica Superior de Alicante,P. O. Box 99, 03080 Alicante, Spain,Geohazards InSAR Laboratory and Modeling Group, InstitutoGeológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,Spain,Department of Earth and Environmental Sciences, University of Pavia,Via Ferrata 1, Pavia 27100, Italy,Geohazards InSAR Laboratory and Modeling Group, InstitutoGeológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,Spain,Geohazards InSAR Laboratory and Modeling Group, InstitutoGeológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,Spain,Geohazards InSAR Laboratory and Modeling Group, InstitutoGeológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,Spain,Geohazards InSAR Laboratory and Modeling Group, InstitutoGeológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid,Spain,Department of Earth and Environmental Sciences, University of Pavia,Via Ferrata 1, Pavia 27100, Italy,Department of Civil, Environmental and Architectural Engineering,University of Padua, via Marzolo 9, 35131 Padua (PD), Italy,Department of Earth and Environmental Sciences, University of Pavia,Via Ferrata 1, Pavia 27100, Italy,Department of Civil, Environmental and Architectural Engineering,University of Padua, via Marzolo 9, 35131 Padua (PD), Italy,Department of Civil, Environmental and Architectural Engineering,University of Padua, via Marzolo 9, 35131 Padua (PD), Italy.Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study[J].Proceedings of the International Association of Hydrological Sciences,2020.
Zhang Yunjun,Heresh Fattahi,Falk Amelung.Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction[J].Computers and Geosciences,2019.
T. Qu,Q. Xu,W. Shan,Z. Li,M. Shan,K. Dai.DEFORMATION MONITORING OF HIGH-LATITUDE PERMAFROST REGION OF NORTHEASTERN CHINA WITH TIME SERIES INSAR TECHNIQUE[J].ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2019.
Geography Research Unit, University of Oulu, P.O. Box 3000, Oulu, 90014, Finland. jan.hjort@oulu.fi.,Geography Research Unit, University of Oulu, P.O. Box 3000, Oulu, 90014, Finland.,Department of Geosciences and Geography, University of Helsinki, P.O. Box 64, Helsinki, 00014, Finland.,Finnish Meteorological Institute, Weather and Climate Change Impact Research, P.O. Box 503, Helsinki, 00101, Finland.,Department of Geosciences, University of Oslo, P.O. Box 1047, Oslo, 0316, Norway.,Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK 99775, AK, USA.,Earth Cryosphere Institute, Tyumen Science Centre, Siberian Branch of the Russian Academy of Science, Tyumen, 625026, Russian Federation.,Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI 48824, MI, USA.,Department of Earth, Environmental, and Geographical Sciences, Northern Michigan University, Marquette, MI 49855, MI, USA.,Department of Geosciences, University of Oslo, P.O. Box 1047, Oslo, 0316, Norway.,Department of Geosciences and Geography, University of Helsinki, P.O. Box 64, Helsinki, 00014, Finland..Degrading permafrost puts Arctic infrastructure at risk by mid-century.[J].Nature communications,2018.
Shi,Liao,Wang,Zhang,Shan,Wang.Expressway deformation mapping using high-resolution TerraSAR-X images[J].Remote Sensing Letters,2014.
Nelson F E,Anisimov O A,Shiklomanov N I.Subsidence risk from thawing permafrost.[J].Nature,2001.
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