Nicolas Oestreicher , Andrea Manconi , Clément Roques , Adriano Gualandi , Simon Loew
{"title":"卫星雷达测得的滑冰期高山环境地表变形的时空变异性","authors":"Nicolas Oestreicher , Andrea Manconi , Clément Roques , Adriano Gualandi , Simon Loew","doi":"10.1016/j.rse.2025.114765","DOIUrl":null,"url":null,"abstract":"<div><div>Using satellite radar interferometry, we investigate surface deformation in the Great Aletsch Glacier region from 2015 to 2021. By applying a statistical blind source separation method on displacement timeseries, our study reveals irreversible trends near large slope instabilities, potentially indicating slope responses to the glacier’s retreat. Moreover, annual cyclic deformation indicates significant pore pressure variations in fractured bedrock slopes resulting from groundwater storage and discharge processes. These spatial variations, assessed with satellite radars, reflect changes in pore pressure and rock mass hydromechanical properties, aligning with continuous ground monitoring data. This study demonstrates the potential of using satellite interferometry to investigate slope-scale mechanical processes driven by seasonal to multiannual environmental factors in complex alpine regions. It is the first timeseries synthetic aperture radar (TS-InSAR) study in a paraglacial environment validated by spatially distributed, high-resolution ground monitoring data. Moreover, it shows the advantages of the TS-InSAR high spatial coverage and its capacity to complement ground monitoring during data interruptions at ground stations. Combining satellite data with ground-based measurements and coherent structural hypotheses opens new possibilities for studying similarly remote and less instrumented regions.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"326 ","pages":"Article 114765"},"PeriodicalIF":11.4000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial and temporal variability of surface deformation in a paraglacial alpine environment measured from satellite radars\",\"authors\":\"Nicolas Oestreicher , Andrea Manconi , Clément Roques , Adriano Gualandi , Simon Loew\",\"doi\":\"10.1016/j.rse.2025.114765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Using satellite radar interferometry, we investigate surface deformation in the Great Aletsch Glacier region from 2015 to 2021. By applying a statistical blind source separation method on displacement timeseries, our study reveals irreversible trends near large slope instabilities, potentially indicating slope responses to the glacier’s retreat. Moreover, annual cyclic deformation indicates significant pore pressure variations in fractured bedrock slopes resulting from groundwater storage and discharge processes. These spatial variations, assessed with satellite radars, reflect changes in pore pressure and rock mass hydromechanical properties, aligning with continuous ground monitoring data. This study demonstrates the potential of using satellite interferometry to investigate slope-scale mechanical processes driven by seasonal to multiannual environmental factors in complex alpine regions. It is the first timeseries synthetic aperture radar (TS-InSAR) study in a paraglacial environment validated by spatially distributed, high-resolution ground monitoring data. Moreover, it shows the advantages of the TS-InSAR high spatial coverage and its capacity to complement ground monitoring during data interruptions at ground stations. Combining satellite data with ground-based measurements and coherent structural hypotheses opens new possibilities for studying similarly remote and less instrumented regions.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"326 \",\"pages\":\"Article 114765\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725001695\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725001695","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatial and temporal variability of surface deformation in a paraglacial alpine environment measured from satellite radars
Using satellite radar interferometry, we investigate surface deformation in the Great Aletsch Glacier region from 2015 to 2021. By applying a statistical blind source separation method on displacement timeseries, our study reveals irreversible trends near large slope instabilities, potentially indicating slope responses to the glacier’s retreat. Moreover, annual cyclic deformation indicates significant pore pressure variations in fractured bedrock slopes resulting from groundwater storage and discharge processes. These spatial variations, assessed with satellite radars, reflect changes in pore pressure and rock mass hydromechanical properties, aligning with continuous ground monitoring data. This study demonstrates the potential of using satellite interferometry to investigate slope-scale mechanical processes driven by seasonal to multiannual environmental factors in complex alpine regions. It is the first timeseries synthetic aperture radar (TS-InSAR) study in a paraglacial environment validated by spatially distributed, high-resolution ground monitoring data. Moreover, it shows the advantages of the TS-InSAR high spatial coverage and its capacity to complement ground monitoring during data interruptions at ground stations. Combining satellite data with ground-based measurements and coherent structural hypotheses opens new possibilities for studying similarly remote and less instrumented regions.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.