Subsidence Monitoring Using Lidar and Morton Code Indexing

被引:6
作者
Ao, Jianfeng [1 ]
Wu, Kan [2 ]
Wang, YongZhi [1 ]
Li, Liang [2 ]
机构
[1] Jiangxi Univ Sci & Technol, Sch Architectural & Surveying & Mapping Engn, Ganzhou 341000, Peoples R China
[2] China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
Light detection and ranging (LIDAR) points; Morton code; Mining subsidence; Terrestrial laser scanner (TLS); FOREST; RECONSTRUCTION;
D O I
10.1061/(ASCE)SU.1943-5428.0000166
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Point-based data-acquisition technology in traditional survey engineering does not provide complete data about mining-induced subsidence basins. To overcome these shortcomings, this research applied light detection and ranging (LIDAR) data, obtained with a terrestrial laser scanner (TLS) for monitoring the surface deformation of mining areas, to acquire full data about mining-induced subsidence basins. First, to improve the organization efficiency of LIDAR data, the decimal Morton code-based indexing method was proposed for discrete-grid indexing to organize LIDAR data according to original point coordinates, to avoid the generation of grids without data, and to build a topological relationship among scattered points. Thus, this approach enabled highly efficient access of LIDAR data and restoration of coordinates for each point. In the end, the processed data were applied in engineering practice. The subsidence curves of two sections of the subsidence basin, in both strike and dip directions measured with a high-grade control survey, were compared with the subsidence curves extracted from the LIDAR data. The good coincidence effect suggests that using LIDAR data to build the subsidence basin model can result not only in richer surface-deformation information than the traditional methods but also in higher monitoring precision.
引用
收藏
页数:7
相关论文
共 26 条
[1]   Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation [J].
Aijazi, Ahmad Kamal ;
Checchin, Paul ;
Trassoudaine, Laurent .
REMOTE SENSING, 2013, 5 (04) :1624-1650
[2]   Use of robust methods to determine quadratic surfaces: application to heritage [J].
Amparo Nunez, Ma ;
Buill, Felipe ;
Regot, Joaquin ;
de Mesa, Andres .
JOURNAL OF ARCHAEOLOGICAL SCIENCE, 2013, 40 (02) :1289-1294
[3]   Terrestrial laser scanning intensity data applied to damage detection for historical buildings [J].
Armesto-Gonzalez, Julia ;
Riveiro-Rodriguez, Belen ;
Gonzalez-Aguilera, Diego ;
Rivas-Brea, M. Teresa .
JOURNAL OF ARCHAEOLOGICAL SCIENCE, 2010, 37 (12) :3037-3047
[4]   3-D geomechanical rock mass characterization for the evaluation of rockslide susceptibility scenarios [J].
Gigli, G. ;
Frodella, W. ;
Garfagnoli, F. ;
Morelli, S. ;
Mugnai, F. ;
Menna, F. ;
Casagli, N. .
LANDSLIDES, 2014, 11 (01) :131-140
[5]  
[龚俊 Gong Jun], 2012, [测绘学报, Acta Geodetica et Cartographica Sinica], V41, P597
[6]  
[龚俊 Gong Jun], 2011, [测绘学报, Acta Geodetica et Cartographica Sinica], V40, P531
[7]  
[龚俊 Gong Jun], 2011, [测绘学报, Acta Geodetica et Cartographica Sinica], V40, P249
[8]   Real and simulated waveform-recording LiDAR data in juvenile boreal forest vegetation [J].
Hovi, A. ;
Korpela, I. .
REMOTE SENSING OF ENVIRONMENT, 2014, 140 :665-678
[9]   Deriving Floodplain Topography and Vegetation Characteristics for Hydraulic Engineering Applications by Means of Terrestrial Laser Scanning [J].
Jalonen, J. ;
Jarvela, J. ;
Koivusalo, H. ;
Hyyppa, H. .
JOURNAL OF HYDRAULIC ENGINEERING, 2014, 140 (11)
[10]   A geometric and semantic evaluation of 3D data sourcing methods for land and property information [J].
Jazayeri, Ida ;
Rajabifard, Abbas ;
Kalantari, Mohsen .
LAND USE POLICY, 2014, 36 :219-230