摘要
滑坡灾害是一种严重的自然灾害,给人民生命财产安全和生态环境带来重大威胁。针对单一SAR数据识别潜在滑坡时不能较好地顾及空间和时间分辨率的问题,本文结合ALOS-2数据在一定植被覆盖度区域有较强穿透性、Sentinel-1数据具有较高的时间分辨率的特点,识别潜在滑坡灾害;并以贵州某复杂植被山区为例,利用SBAS-InSAR技术进行试验。结果表明,研究区ALOS-2和Sentinel-1数据的地表形变速率范围分别为-125.34~46.01和-159.42~124.44 mm/a;共识别出48处新增滑坡,两者的互补性显著提高了滑坡识别的空间覆盖度与适用性。本文为滑坡灾害的早期识别和防灾减灾提供了技术支持。
Landslide disasters are a severe natural hazard,posing significant threats to human life,property safety,and the ecological environment.The identification of potential landslides using a single SAR dataset often fails to adequately address the trade-off between spatial resolution and temporal resolution.This study integrates the strong penetration capability of ALOS-2 data in areas with moderate vegetation cover and the high temporal resolution of Sentinel-1 data to identify potential landslide hazards.Taking a complex vegetated mountainous region in Guizhou as a case study,the SBAS-InSAR technique is applied for experimentation.The results indicate that the surface deformation rates in the study area ranged from-125.34 to 46.01 mm/a for ALOS-2 data and from-159.42 to 124.44 mm/a for Sentinel-1 data.A total of 48 new landslide hazards are identified,with the complementary strengths of the two datasets significantly enhancing the spatial coverage and applicability of landslide identification.This study provides technical support for the early detection of landslide hazards and disaster prevention and mitigation efforts.
作者
曹芮菡
李新
周定杰
喜文飞
黄广才
王瑞亭
郭蓁
CAO Ruihan;LI Xin;ZHOU Dingjie;XI Wenfei;HUANG Guangcai;WANG Ruiting;GUO Zhen(Faculty of Geography,Yunnan Normal University,Kunming 650500,China;Map Institute of Yunnan Province,Kunming 650500,China;Surveying and Mapping Engineering Institute of Yunnan Province,Kunming 650500,China;Key Laboratory of Highland Geographic Processes and Environmental Change in Yunnan Province,Kunming 650500,China;Key Laboratory of Early Rapid Identification,Prevention and Control of Geological Diseases in Traffic Corridor of High Intensity Earthquake Mountainous Area of Yunnan Province,Kunming 650093,China;Guizhou Institute of Geological Survey,Guiyang 550081,China;Engineering Technology Innovation Center of Mineral Resources Explorations in Bedrock Zones,Minisity of Natural Resources,Guiyang 550081,China)
出处
《测绘通报》
2026年第1期65-71,共7页
Bulletin of Surveying and Mapping
基金
云南省科技计划重点项目(202401AS070638)
贵州省科技厅基础研究计划(自然科学类)(黔科合基础-ZK[2023]一般193)
2025年度贵州省基础研究计划(自然科学)面上项目(黔科合基础-ZK[2025]面上013)
高层次科技人才及创新团队选拔专项(202305AS350003)。
关键词
滑坡灾害
植被覆盖度
SBAS-InSAR
复杂植被山区
landslide disasters
fractional vegetation cover
SBAS-InSAR
complex vegetated mountainous areas
