"天-空-地-海"滑坡监测技术研究进展

    A review of landslide monitoring technologies within a space–air–ground–sea framework

    • 摘要: 滑坡作为多因素触发的地质灾害,呈现出频发性、复杂性与不确定性特征,亟需构建高效、全面的滑坡监测体系。本文系统梳理了“天-空-地-海”框架下滑坡监测技术的研究进展。目前陆上滑坡监测已相对成熟,涵盖了地基大地测量、三维激光扫描、地下位移与多物理场监测;而天基InSAR、GNSS与光学遥感实现了宏观变形信息捕捉;空基平台则利用无人机与激光雷达增强了对重点区域的高精度识别与补盲。尚须强调指出,迄今水下滑坡监测仍处探索阶段,浅水区主要依赖多波束、侧扫声纳与浅剖探测,而深海海底滑坡监测则以现场调查、原位监测、物理模拟与数值模拟为主。针对不同类型滑坡在孕灾环境、关键监测对象和技术条件上的显著差异,本文将“天-空-地-海”界定为一种面向不同场景的平台组织框架。该框架旨在根据滑坡类型与监测任务,对天基、空基、地基和海基技术进行分场景调用与组合配置,以支撑风险识别、过程分析和预警决策。

       

      Abstract: As a type of geological hazard induced by multiple interacting factors, landslides exhibit frequent occurrence, high complexity, and considerable uncertainty, thereby necessitating the development of an efficient and integrated monitoring system. This paper provides a systematic overview of advances in landslide monitoring technologies under the “space–air–ground–sea” framework. Currently, monitoring of subaerial landslides is relatively well developed, covering ground-based geodetic measurements, three-dimensional laser scanning, subsurface displacement monitoring, and multiphysics monitoring; in parallel, spaceborne InSAR, GNSS, and optical remote sensing facilitate the capture of macroscopic deformation signals; airborne platforms, using UAVs and LiDAR, further improve high-precision detection and compensate for observational blind spots in critical areas. It is important to note that submarine landslide monitoring is still in the exploratory phase; in shallow-water settings, it primarily depends on multibeam surveys, side-scan sonar, and shallow profiling, whereas monitoring of deep-sea seafloor landslides mainly relies on field investigation, in situ observation, physical modeling, and numerical modeling. Given the marked differences among various landslide types in their hazard-prone environments, key monitoring objects, and technical constraints, this study conceptualizes “space–air–ground–sea” as a platform coordination framework oriented toward different application scenarios. The purpose of this framework is to selectively mobilize and combine spaceborne, airborne, ground-based, and sea-based technologies according to landslide type and monitoring objectives across different scenarios, so as to support risk detection, process analysis, and early warning decisions.

       

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