Thaw Settlement Monitoring and Active Layer Thickness Retrieval Using Time Series COSMO-SkyMed Imagery in Iqaluit Airport
نویسندگان
چکیده
Thaw consolidation of degrading permafrost is a serious hazard to the safety and operation infrastructure. Monitoring thermal changes in active layer (AL), proportion soil above that thaws freezes periodically, critical understanding conditions top regulating construction, operation, maintenance facilities. However, this very challenging task using ground-based methods such as ground-penetrating radar (GPR) or temperature sensors. This study explores integration interferometric measurements from high-resolution X-band Synthetic Aperture Radar (SAR) images volumetric water content (VWC) data SoilGrids quantify detailed spatial variations thickness (ALT) Iqaluit, territorial capital Nunavut Canada. A total 21 SAR COSMO Sky-Med (CSK) were first analyzed freely connected network synthetic aperture (FCNInSAR) method map temporal ground surface subsidence area. Subsequently, we built an ALT retrieval model by introducing thaw settlement coefficient, which takes properties saturation state into account. The InSAR then integrated with VWC extracted database estimate ALT. For validation, conducted comparison between estimated ALTs situ airport sector. survey identifies several sites deformation at subsiding rates exceeding 80 mm/year. rate along runway coincide frost cracks ice-wedge furrows. obtained ALTs, ranging 0 5 m, vary significantly different sediments. Maximum are found for rock areas, while shallow distributed till blanket (Tb), intertidal (Mi) sediments, alluvial flood plain (Afp) sediment units. intersection taxiway has AL thicker than other parts glaciomarine deltaic (GMd) Our suggests combining imagery can provide more comprehensive knowledge prevention infrastructure zone.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14092156