The exploitation of sound as a remote sensing platform for environmental monitoring is a novel avenue for detecting changes in subsurface temperatures and properties in permafrost. We present a workflow for using the geometric phase of ground-supported acoustic waves (i.e., seismic waves) due to scattering by trees in a forest as a means of detecting global changes in permafrost stiffness. We work with a simulated environment composed of discrete masses and springs as a testbed for the vibrational response of a forest. For two different spatial distributions of trees, the geometric phase of ground-supported acoustic waves is numerically calculated using MATLAB to show how changes in ground stiffness, due e.g., to changes in subsurface temperature, affect changes in the phase. For acoustic waves with frequencies near the resonant frequencies of the trees the phase is shown to vary more drastically with ground stiffness. This topological acoustic workflow may present a new approach to characterizing changes in permafrost and provide early warning of thawing permafrost, which is vital to maintaining infrastructure and access to natural resources.

利用声音作为环境监测的遥感平台是检测地下温度和永久冻土特性变化的新途径。我们提出了一个工作流程，用于使用由于森林中树木的散射而产生的地面声波（即地震波）的几何相位，作为检测永久冻土刚度全球变化的一种手段。我们使用由离散质量和弹簧组成的模拟环境作为森林振动响应的试验台。对于树木的两种不同空间分布，地面声波的几何相位使用 MATLAB 进行数值计算，以显示地面刚度的变化（例如，由于地下温度的变化）如何影响相位的变化。对于频率接近树木共振频率的声波，相位显示出随着地面刚度的变化更加剧烈。这种拓扑声学工作流程可能会提供一种表征永久冻土变化的新方法，并提供永久冻土融化的早期预警，这对于维护基础设施和获取自然资源至关重要。