摘要
针对传统地质灾害调查手段难以有效识别高位远程、高植被覆盖下地质灾害隐患问题,本文研究采用InSAR、机载LiDAR、无人机光学遥感等技术,系统开展了九寨沟地震区域地质灾害隐患早期识别工作。通过SAR数据处理、激光点云数据处理、无人机影像处理等过程,构建了一套集成纹理特征、形变特征、形态特征的地质灾害隐患识别遥感解译图谱。通过综合应用多源遥感技术,完成了九寨沟核心景区230 km^(2)范围内的地质灾害隐患早期识别任务,突破了以往地质灾害灾害调查灾害隐患看不见、看不清、看不准的难题,提高了该区域地质灾害隐患识别的成功率。研究表明,综合应用InSAR、机载LiDAR、无人机遥感等探测技术可以有效提高艰险复杂山地环境地质灾害隐患的识别率,可以为地质灾害隐患早期识别提供技术支撑。
Due to the complex topographic conditions and dense vegetation development in Jiuzhaigou region, it is difficult for the traditional manual geological disaster investigation methods to achieve a detailed investigation in a short time. Airborne LiDAR technology has the technical advantage of being able to penetrate through plant gaps and detect microscopic damage to geological objects. InSAR technology has the technical advantage of detecting deformation and damage of geological bodies from macroscopic perspective. Therefore, the two technologies are combined to assist in field verification. By building a macro-to micro-scale geohazard investigation model, it can reduce the workload of manual investigation, improve the identification of potential hazards, and improve the efficiency of geohazard investigation.Based on the above, an internationally advanced high-performance LiDAR scanner was used in this study to achieve the objective of acquiring high-density laser point clouds within 230 km^(2) of the study area. High-accuracy digital elevation model(DEM)data of the study area was obtained through a combination of data pre-processing, point cloud denoising, automatic classification and manual vegetation classification operations. The DEM data did not do microtopography removal, but instead retained the microtopography for disaster hazard identification. Based on the data, a three-dimensional interpretation environment was set up. The identification of major geological hazards under the vegetation was carried out by combining the DEM-derived results, optical remote sensing data and the results of previous geological hazard investigations. Meanwhile, the surface deformation monitoring of 230 km^(2) in the study area was carried out based on ALOS-2 L-band data and Sentinel-1 data and data processing operations. The integration and interpretation of the airborne LiDAR survey results, the InSAR results and the optical remote sensing image results, enhanced the field verification work, and the field investigation of the
作者
佘金星
许强
杨武年
董秀军
刘飞
SHE Jinxing;XU Qiang;YANG Wunian;DONG Xiujun;LIU Fei(Chengdu University of Technology,Chengdu 610059,China;Technology Service Center of Surveying and Mapping,Sichuan Bureau of Surveying,Mapping and Geoinformation,Chengdu 610081,China)
出处
《工程地质学报》
CSCD
北大核心
2023年第1期207-216,共10页
Journal of Engineering Geology
基金
国家重点研发计划课题(资助号:2018YFC1505202)
自然资源部自然资源技术融合研究与应用示范(资助号:121204007000204101)。
关键词
九寨沟地震
地质灾害隐患
机载LIDAR
INSAR
早期识别
解译图谱
Jiuzhaigou earthquake
Hidden dangers of geological disasters
Airborne LiDAR
InSAR
Early recognition
Interpretation map
