The investigation of the Akchour landslide(AKL)demands precise examination on a local scale,which necessitates field surveys that are often hindered by the landslide's steep and extensive nature of the landslide(1...The investigation of the Akchour landslide(AKL)demands precise examination on a local scale,which necessitates field surveys that are often hindered by the landslide's steep and extensive nature of the landslide(1100 m×400 m,ΔZ of 300 m).Digital Elevation Models(DEMs)are among the key datasets used to achieve this objective.A comparative study between freely available DEMs such as Shuttel Radar Topography Mission(SRTM)(30 m×30 m)and Phased Array type L-band Synthetic Aperture Radar(PALSAR)(12.5 m×12.5 m),alongside those generated by unmanned aerial vehicles(UAVs)demonstrates their significant potential for both geomorphological and geomorphometric analysis.Indeed,scaling issues can lead to the oversight of crucial geological elements.Aerial photos at a 1/20000 scale,previously utilized for anaglyph,provide a broad overview but lack detailed information.To address this limitation,we employed the UAV to capture high-resolution aerial views(with a ground resolution of 17 cm).This approach enabled exploration of inaccessible areas,photogrammetry for orthophotos,and the generation of precise DEM supported geomorphological studies.The orthophoto allowed for detailed visual assessment,while the DEM facilitated geomorphological study.The dynamic behaviors within the landslide.Furthermore,the former irrigation network likely exacerbates the situation.Fractures delineating an unstable area are prominent along the main scarp suggesting the possibility of further sliding.This UAV-mapping revealed three distinct zones with varying based approach significantly enhances our understanding of the AKL,surpassing the limitations of traditional methods and providing critical insights into its morphology and potential risks.展开更多
以祁连山黑河流域十一冰川为例,利用机载三维激光扫描数据(Light Detection And Ranging,Li DAR)和SRTM DEM数据,在LiDAR点云数据预处理、高程数据配准、校正、误差评估的基础上,建立基于大地测量法的冰川物质平衡计算流程。表明:2000—...以祁连山黑河流域十一冰川为例,利用机载三维激光扫描数据(Light Detection And Ranging,Li DAR)和SRTM DEM数据,在LiDAR点云数据预处理、高程数据配准、校正、误差评估的基础上,建立基于大地测量法的冰川物质平衡计算流程。表明:2000—2012年十一冰川冰面高程变化为-7.47±0.92 m,变化率为-0.62±0.08 m·a^(-1),估算十一冰川的年均物质平衡为-0.53±0.07 m w.e.,累积物质平衡为-6.35±0.78 m w.e.,折合水当量约为(330.4±40.8)×10~4m^3;与其他典型监测冰川物质平衡进行对比和分析,论证了估算结果的可靠性;LiDAR数据具有非常高的精度和空间分辨率,目前关于其在冰川物质平衡研究中的应用很少,论文尝试将其应用于冰川物质平衡变化研究中,具有广阔的发展前景。展开更多
文摘The investigation of the Akchour landslide(AKL)demands precise examination on a local scale,which necessitates field surveys that are often hindered by the landslide's steep and extensive nature of the landslide(1100 m×400 m,ΔZ of 300 m).Digital Elevation Models(DEMs)are among the key datasets used to achieve this objective.A comparative study between freely available DEMs such as Shuttel Radar Topography Mission(SRTM)(30 m×30 m)and Phased Array type L-band Synthetic Aperture Radar(PALSAR)(12.5 m×12.5 m),alongside those generated by unmanned aerial vehicles(UAVs)demonstrates their significant potential for both geomorphological and geomorphometric analysis.Indeed,scaling issues can lead to the oversight of crucial geological elements.Aerial photos at a 1/20000 scale,previously utilized for anaglyph,provide a broad overview but lack detailed information.To address this limitation,we employed the UAV to capture high-resolution aerial views(with a ground resolution of 17 cm).This approach enabled exploration of inaccessible areas,photogrammetry for orthophotos,and the generation of precise DEM supported geomorphological studies.The orthophoto allowed for detailed visual assessment,while the DEM facilitated geomorphological study.The dynamic behaviors within the landslide.Furthermore,the former irrigation network likely exacerbates the situation.Fractures delineating an unstable area are prominent along the main scarp suggesting the possibility of further sliding.This UAV-mapping revealed three distinct zones with varying based approach significantly enhances our understanding of the AKL,surpassing the limitations of traditional methods and providing critical insights into its morphology and potential risks.
文摘以祁连山黑河流域十一冰川为例,利用机载三维激光扫描数据(Light Detection And Ranging,Li DAR)和SRTM DEM数据,在LiDAR点云数据预处理、高程数据配准、校正、误差评估的基础上,建立基于大地测量法的冰川物质平衡计算流程。表明:2000—2012年十一冰川冰面高程变化为-7.47±0.92 m,变化率为-0.62±0.08 m·a^(-1),估算十一冰川的年均物质平衡为-0.53±0.07 m w.e.,累积物质平衡为-6.35±0.78 m w.e.,折合水当量约为(330.4±40.8)×10~4m^3;与其他典型监测冰川物质平衡进行对比和分析,论证了估算结果的可靠性;LiDAR数据具有非常高的精度和空间分辨率,目前关于其在冰川物质平衡研究中的应用很少,论文尝试将其应用于冰川物质平衡变化研究中,具有广阔的发展前景。
