联合主/被动微波遥感技术的活动层季节性冻融变化监测研究  

Monitoring of Seasonal Freezing-Thawing Parameters of Active Layer Using Active/Passive Microwave Remote Sensing Technology

作　　者：寇晓康 刘信达 李旭东 KOU Xiao-kang;LIU Xin-da;LI Xu-dong(School of Civil Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043;Key Laboratory of Roads and Railway Engineering Safety Control(Shijiazhuang Tiedao University),Ministry of Education,Shijiazhuang 050043;CNNC Engineering Research Center of 3D Geographic Information,Shijiazhuang 050043,China)

机构地区：[1]石家庄铁道大学土木工程学院,河北石家庄050043 [2]道路与铁道工程安全保障省部共建教育部重点实验室(石家庄铁道大学),河北石家庄050043 [3]中核三维地理信息工程技术研究中心,河北石家庄050043

出　　处：《地理与地理信息科学》2022年第4期20-28,57,共10页Geography and Geo-Information Science

基　　金：国家自然科学基金青年科学基金项目“基于主被动微波遥感技术的活动层冻融参量季节性变化规律研究”(41801277);河北省自然科学基金面上项目“融合多源卫星数据的高分辨率地表冻融参量遥感探测研究”(D2021210002)。

摘　　要：受限于被动微波遥感的低空间分辨率和主动微波遥感的低时间分辨率,鲜有研究将二者所获取的活动层表层冻融变化信息以及地表形变信息结合分析。该文以青藏高原五道梁地区为研究区,利用被动微波SSMIS亮温数据和降尺度方法获取3.125 km×3.125 km空间分辨率的每日活动层表层冻融信息,同时利用主动微波Sentinel-1雷达数据基于SBAS-InSAR技术获取5 m×20 m分辨率、时间间隔约12 d的活动层地表形变信息,并通过去除年际形变趋势获取季节形变分量;在此基础上,通过空间重采样及时序拟合技术,结合地面站点观测数据,分析活动层冻融状态、土壤温度、土壤湿度和季节形变参量间的关联机制。结果表明:在整个冻融周期内,主/被动微波遥感监测结果具有较强的关联性和一致性,此为二者协同应用的基础;被动微波遥感可用于提取活动层表层的冻融周期,该周期与活动层浅层冻融周期基本一致,活动层中层及深层的冻融起始时间相对滞后;主动微波遥感季节形变监测结果与活动层内部总的相变水量紧密相关,形变速率与冰/水相变速率呈正相关关系;冻融交替现象主要发生在活动层的浅层,深层表现不明显,因此其季节形变幅度较小。研究结果从微波遥感视角揭示了冻结期、融化期及冻融交替期内活动层各冻融参量间的内在关联及变化机制,对于大范围活动层冻融参量的快速提取及监测研究具有参考意义。Due to the low spatial resolution of passive microwave sensors and the low temporal resolution of active microwave remote sensing satellites,the surface freezing-thawing state derived from passive microwave remote sensing was rarely integrated with the surface deformation derived from active microwave remote sensing in the active layer monitoring application.In this study,the Wudaoliang area of the Qinghai-Tibet Plateau was selected as the study area.The brightness temperature data obtained by passive microwave sensor of SSMIS were downscaled to obtain the daily freezing-thawing information of surface layer of the active layer with a resolution of 3.125 km×3.125 km.Meanwhile,the radar data observed from active microwave sensor of Sentinel-1 were used to obtain the surface deformation of active layers based on SBAS-InSAR technology and the seasonal surface deformation with a resolution of 5 m×20 m and a time interval of about 12 days was finally obtained after removel of annual deformation trend.On this basis,the spatial resampling and sequential fitting technologies were used to analyze the correlation mechanism among the freezing-thawing state,soil temperature,soil moisture and seasonal deformation,combined with the ground measurements.The results show that in the whole freezing-thawing cycle,there are strong correlation and consistency between the monitoring results of active and passive microwave remote sensing,which is the basis for the cooperative application of active and passive microwave remote sensing.Passive microwave remote sensing can be used to extract the freezing-thawing cycle of surface layer of the active layer,which is basically consistent with the freezing-thawing cycle in the shallow active layer,and the start time of freezing-thawing in the middle and deep layers of the active layer is relatively lagging.The results of seasonal deformation monitoring by active microwave remote sensing are closely related to the total amount of phase change water in the active layer,and the deformation rate

关 键 词：被动微波遥感 INSAR 活动层 冻融 形变 

分 类 号：S152.8[农业科学—土壤学] TP79[农业科学—农业基础科学]