基于LiDAR数据的汕尾火山嶂地质灾害风险评价
P642.21; 机载激光雷达(LiDAR,light detection and ranging)数据能有效去除植被,获取真实的地表形态,从而为植被覆盖区的地质灾害风险评价提供新的方法和手段.汕尾火山嶂山体陡峻、植被茂密,是滑坡、崩塌和泥石流的易发地,本文首先采用高分辨率LiDAR数据生成高精度DEM数据以及坡度、坡向、曲率、起伏度、粗糙度和山体阴影等地形因子,综合高分一号遥感影像进行滑坡/崩塌解译共获得滑坡/崩塌44处;然后基于变维分形模型确定各解译因子对滑坡/崩塌形成的权重后计算获得每个解译滑坡/崩塌的确认概率,剔除概率较低的滑坡/崩塌3处;最后根据沟谷特征将火山嶂划分为6个子区,基于各...
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| Published in | 中山大学学报（自然科学版）（中英文） Vol. 63; no. 1; pp. 10 - 23 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
南方海洋科学与工程广东省实验室(珠海), 广东 珠海 519082
2024
广东省地质局第七地质大队,广东 惠州 516000%中山大学地球科学与工程学院,广东 珠海 519082%中山大学地球科学与工程学院,广东 珠海 519082 广东省地质过程与矿产资源探查实验室,广东 珠海 519082 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2097-0137 |
| DOI | 10.13471/j.cnki.acta.snus.2023D032 |
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| Abstract | P642.21; 机载激光雷达(LiDAR,light detection and ranging)数据能有效去除植被,获取真实的地表形态,从而为植被覆盖区的地质灾害风险评价提供新的方法和手段.汕尾火山嶂山体陡峻、植被茂密,是滑坡、崩塌和泥石流的易发地,本文首先采用高分辨率LiDAR数据生成高精度DEM数据以及坡度、坡向、曲率、起伏度、粗糙度和山体阴影等地形因子,综合高分一号遥感影像进行滑坡/崩塌解译共获得滑坡/崩塌44处;然后基于变维分形模型确定各解译因子对滑坡/崩塌形成的权重后计算获得每个解译滑坡/崩塌的确认概率,剔除概率较低的滑坡/崩塌3处;最后根据沟谷特征将火山嶂划分为6个子区,基于各个子区的地形特征、滑坡/崩塌密度和体量以及人类活动分布进行地质灾害风险评价.结果表明基于LiDAR数据生成的高精度地形因子可以有效地去除植被影响,是植被覆盖区地质灾害解译的有效手段. |
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| AbstractList | P642.21; 机载激光雷达(LiDAR,light detection and ranging)数据能有效去除植被,获取真实的地表形态,从而为植被覆盖区的地质灾害风险评价提供新的方法和手段.汕尾火山嶂山体陡峻、植被茂密,是滑坡、崩塌和泥石流的易发地,本文首先采用高分辨率LiDAR数据生成高精度DEM数据以及坡度、坡向、曲率、起伏度、粗糙度和山体阴影等地形因子,综合高分一号遥感影像进行滑坡/崩塌解译共获得滑坡/崩塌44处;然后基于变维分形模型确定各解译因子对滑坡/崩塌形成的权重后计算获得每个解译滑坡/崩塌的确认概率,剔除概率较低的滑坡/崩塌3处;最后根据沟谷特征将火山嶂划分为6个子区,基于各个子区的地形特征、滑坡/崩塌密度和体量以及人类活动分布进行地质灾害风险评价.结果表明基于LiDAR数据生成的高精度地形因子可以有效地去除植被影响,是植被覆盖区地质灾害解译的有效手段. |
| Abstract_FL | Airborne LiDAR(light detection and ranging)data are effective for geological hazard risk assessment in vegetation-covered areas because vegetation information can be removed and thus pro-vide true surface morphology.Huoshanzhang in Shanwei,Guangdong Province is a steep and densely vegetated area that is prone to landslides,collapses,and mudslides.This study adopted high-resolution LiDAR data to generate high-precision DEM data and extract terrain factors such as slope,aspect,cur-vature,undulation,roughness,and mountain shadows,combined with remote sensing images of GF-1 satellite,identified a total of 44 landslides/collapses.Among them,three low-probability landslides/collapses were removed based on the variable dimensional and fractal model,the determined weight of each terrain factor,and the confirmed probability of each interpreted landslide/collapse.The area was divided into 6 sub-regions according to the characteristics of the valleys and the geological hazard risk assessment of each sub-region was conducted based on the terrain characteristics,landslide/collapse density and volume,and human activities.The results indicate that high-precision terrain factors gener-ated from LiDAR data of vegetation impacts eliminated are an effective source for geological hazard in-terpretation in vegetation-covered areas. |
| Author | 甄俊伟 曾探 章桂芳 黄智炜 王同皓 |
| AuthorAffiliation | 广东省地质局第七地质大队,广东 惠州 516000%中山大学地球科学与工程学院,广东 珠海 519082%中山大学地球科学与工程学院,广东 珠海 519082;广东省地质过程与矿产资源探查实验室,广东 珠海 519082;南方海洋科学与工程广东省实验室(珠海), 广东 珠海 519082 |
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| Author_FL | WANG Tonghao ZHANG Guifang HUANG Zhiwei ZHEN Junwei ZENG Tan |
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| Snippet | P642.21; 机载激光雷达(LiDAR,light detection and ranging)数据能有效去除植被,获取真实的地表形态,从而为植被覆盖区的地质灾害风险评价提供新的方法和手段.汕尾火山嶂山... |
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| Title | 基于LiDAR数据的汕尾火山嶂地质灾害风险评价 |
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