首页|基于不同数据源的数字孪生小流域底板模型精度检验

基于不同数据源的数字孪生小流域底板模型精度检验

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为解决小流域综合治理规划设计中基础地形数据获取困难等问题,基于合成孔径雷达卫星遥感影像、倾斜摄影影像、光探测测距影像等 3 种主流遥感数据源,分别建立栖龙湾小流域数字孪生底板模型,进而提取主沟道纵断面、2 块梯田样地边界、10 个林地样区的郁闭度,与人工解译和实测结果对比进行精度检验,结果表明:以光探测测距影像为数据源的提取精度最高,以倾斜摄影影像为数据源的提取精度次之,以孔径雷达卫星遥感影像为数据源的提取精度最低.鉴于 3 种数据源小流域底板模型各有优缺点,可根据实际工作需要进行多源数据融合,以改善数字孪生技术在小流域综合治理规划设计中的应用效果.在栖龙湾小流域内选择石坎梯田地块进行合成孔径雷达卫星遥感影像与倾斜摄影影像数据融合、选择科普展览馆进行倾斜摄影影像与光探测测距影像数据融合,均取得良好的效果.
Accuracy Test of Digital Twin Small Watershed Baseplate Model Based on Different Data Sources
In order to solve the issues of obtaining the basic topographic data in the comprehensive management planning and design of small watershed,we established the Qilongwan small watershed digital twin baseplate model,including SAR satellite remote sensing,tilt photogra-phy and LiDAR.We extracted the longitudinal section of the main channel,the boundary of the two terrace plots,and the depression degree of the 10 woodland sample areas in the model,and then compared the accuracy test with the manual interpretation or measured results.The results show that the extraction accuracy of lidar as the data source,tilt photography as the second of the data source,and SAR satellite re-mote sensing as the data source.In view of the advantages and disadvantages of the three data source models,the multi-source data fusion can be carried out according to the actual work needs to improve the application effect of digital twin technology in the planning and design of small watershed comprehensive management.In the small watershed of Qilongwan,the shikan terrace plot is selected for SAR satellite remote sensing and tilt photography data fusion,and the popular science exhibition hall is selected for tilt photography and lidar data fusion,which has achieved good results.

digital twin watershedbaseplate modeldata sourcessatellite remote sensingtilt photographylight detection and rangingaccuracy testdata fusion

马良、樊冰、吕爱霞、王松岳、武佳枚、牟强

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山东省水利科学研究院,山东 济南 250014

济南市水务服务中心,山东 济南 271100

东营市河口区水利局,山东 东营 257200

数字孪生小流域 底板模型 数据源 合成孔径雷达 倾斜摄影 光探测测距 精度检验 数据融合

山东省重点研发计划项目山东省水利科学研究院自选课题山东省水土保持学会重点领域创新基金项目

2022RZB01007SDSKYZX2021052019002

2024

人民黄河
水利部黄河水利委员会

人民黄河

CSTPCD北大核心
影响因子:0.494
ISSN:1000-1379
年,卷(期):2024.46(10)
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