Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR

查看全文 作　　者：Bikram Pratap [1,2]Banerjee;Simit [2]Raval

机构地区：[1]Agriculture Victoria,Grains Innovation Park,110 Natimuk Road,3400 Horsham,VIC,Australia;[2]School of Minerals and Energy Resources Engineering,University of New South Wales,2052 Sydney,NSW,Australia

出　　处：《International Journal of Coal Science & Technology》索引2022年第9卷第3期,共16页

摘　　要：Near earth sensing from uncrewed aerial vehicles or UAVs has emerged as a potential approach for fne-scale environmental monitoring.These systems provide a cost-efective and repeatable means to acquire remotely sensed images in unprecedented spatial detail and a high signal-to-noise ratio.It is increasingly possible to obtain both physiochemical and structural insights into the environment using state-of-art light detection and ranging(LiDAR)sensors integrated onto UAVs.Monitoring sensitive environments,such as swamp vegetation in longwall mining areas,is essential yet challenging due to their inherent complexities.Current practices for monitoring these remote and challenging environments are primarily ground-based.This is partly due to an absent framework and challenges of using UAV-based sensor systems in monitoring such sensitive environments.This research addresses the related challenges in developing a LiDAR system,including a workfow for mapping and potentially monitoring highly heterogeneous and complex environments.This involves amalgamating several design components,including hardware integration,calibration of sensors,mission planning,and developing a processing chain to generate usable datasets.It also includes the creation of new methodologies and processing routines to establish a pipeline for efcient data retrieval and generation of usable products.The designed systems and methods were applied to a peat swamp environment to obtain an accurate geo-spatialised LiDAR point cloud.Performance of the LiDAR data was tested against ground-based measurements on various aspects,including visual assessment for generation LiDAR metrices maps,canopy height model,and fne-scale mapping. 关键词：Upland swamps Mine surveying Monitoring Environment sustainability Drones and laser scanning

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Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR

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