Periglacial environments are characterized by highly dynamic landscapes. Freezing and thawing lead to ground movement, associated with cryoturbation and solifluction. These processes are sensitive to climate change and variably distributed depending on multiple environmental factors. In this study, we used multi-geometry Sentinel-1 Synthetic Aperture Radar Interferometry (InSAR) to investigate the spatial distribution of the mean annual ground velocity in a mountainous landscape in Northern Norway. Statistical modeling was employed to examine how periglacial ground velocity is related to environmental variables characterizing the diverse climatic, geomorphic, hydrological and biological conditions within a 148 km² study area. Two-dimensional (2D) InSAR results document mean annual ground velocity up to 15 mm/yr. Vertical and horizontal velocity components in the East–West plane show variable spatial distribution, which can be explained by the characteristics of cryoturbation and solifluction operating differently over flat and sloping terrain. Statistical modeling shows that slope angle and mean annual air temperature variables are the most important environmental factors explaining the distribution of the horizontal and vertical components, respectively. Vegetation and snow cover also have a local influence, interpreted as indicators of the ground material and moisture conditions. The results show contrasted model performance depending on the velocity component used as a response variable. In general, our study highlights the potential of integrating radar remote sensing and statistical modeling to investigate mountainous regions and better understand the relations between environmental factors, periglacial processes and ground dynamics.

中文翻译：

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亚北极景观中基于 InSAR 的冰缘地面动力学的环境控制

冰缘环境的特点是高度动态的景观。冻结和解冻导致地面运动，与低温扰动和流动相关。这些过程对气候变化很敏感，并且根据多种环境因素而不同地分布。在这项研究中，我们使用多几何 Sentinel-1 合成孔径雷达干涉测量法 (InSAR) 来研究挪威北部山区景观中年平均地面速度的空间分布。使用统计模型来检查冰缘地面速度如何与表征 148 公里²范围内不同气候、地貌、水文和生物条件的环境变量相关。研究区。二维 (2D) InSAR 结果记录了高达 15 毫米/年的平均年地面速度。东西平面的垂直和水平速度分量显示出可变的空间分布，这可以通过低温扰动和流动在平坦和倾斜地形上不同运行的特征来解释。统计模型表明，坡度角和年平均气温变量分别是解释水平和垂直分量分布的最重要的环境因素。植被和积雪也有局部影响，被解释为地面材料和湿度条件的指标。结果显示了不同的模型性能，具体取决于用作响应变量的速度分量。一般来说，