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Towards cavity‐collapse hazard maps with Zeb‐Revo handheld laser scanner point clouds
Author(s) -
Dewez Thomas J. B.,
Yart Silvain,
Thuon Ysoline,
Pannet Pierre,
Plat Emmanuelle
Publication year - 2017
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12223
Subject(s) - point cloud , hazard , scanner , mobile device , scale (ratio) , computer science , laser scanning , point (geometry) , geology , mobile mapping , geography , geometry , laser , physics , cartography , computer vision , artificial intelligence , optics , mathematics , chemistry , organic chemistry , operating system
Underground cavities are ubiquitous across northern Europe's cities and countryside due to a long history of mining and building‐stone extraction. Management of cavity‐collapse risks requires detailed knowledge of a cavity's geometry, depth and rock‐mass characterisation. Current mapping practices are neither sufficiently accurate, detailed nor cost‐effective in underground settings. Here, a Geo SLAM Zeb‐Revo handheld mobile laser scanner was tested. Its point clouds reproduced planes faithfully ( RMS < 10 mm) over typical gallery dimensions (<10 m) and any survey horizontality defect was not measurable. In well‐structured corridor networks, reference distance inaccuracy arising after a 115 m loop and 5·25 minutes of instrumental drift did not exceed 3 mm over 30 m (1:10 000) and the difference from the reference length was insignificant. Applied to mapping 11 ha of a disused underground stone quarry in the Paris Basin, Zeb‐Revo surveys produced accurate (<1 m) base maps adequate for regulatory cavity hazard maps at 1/5000 scale. Geometric knowledge of accessible cavities is therefore no longer a challenge for collapse hazard mapping.