Multitemporal terrestrial laser scanning point clouds for thaw subsidence observation at Arctic permafrost monitoring sites

被引:22
作者
Anders, Katharina [1 ,2 ]
Marx, Sabrina [1 ]
Boike, Julia [3 ,4 ]
Herfort, Benjamin [1 ]
Wilcox, Evan James [5 ]
Langer, Moritz [3 ]
Marsh, Philip [5 ]
Hoefle, Bernhard [1 ,2 ,6 ]
机构
[1] Heidelberg Univ, Inst Geog, 3D Geospatial Data Proc Grp 3DGeo, D-69120 Heidelberg, Germany
[2] Heidelberg Univ, Interdisciplinary Ctr Sci Comp IWR, D-69120 Heidelberg, Germany
[3] Helmholtz Ctr Polar & Marine Res, AWI, D-14473 Potsdam, Germany
[4] Humboldt Univ, Dept Geog, D-10099 Berlin, Germany
[5] Wilfrid Laurier Univ, Cold Regions Res Ctr, Waterloo N2L 3C5, ON, Canada
[6] Heidelberg Univ, HCE, D-69120 Heidelberg, Germany
关键词
change analysis; 3D geoinformation; ground surface displacement; permafrost monitoring; multitemporal LiDAR; FRAMEWORK; EROSION; SCANS; LAYER;
D O I
10.1002/esp.4833
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This paper investigates different methods for quantifying thaw subsidence using terrestrial laser scanning (TLS) point clouds. Thaw subsidence is a slow (millimetre to centimetre per year) vertical displacement of the ground surface common in ice-rich permafrost-underlain landscapes. It is difficult to quantify thaw subsidence in tundra areas as they often lack stable reference frames. Also, there is no solid ground surface to serve as a basis for elevation measurements, due to a continuous moss-lichen cover. We investigate how an expert-driven method improves the accuracy of benchmark measurements at discrete locations within two sites using multitemporal TLS data of a 1-year period. Our method aggregates multiple experts' determination of the ground surface in 3D point clouds, collected in a web-based tool. We then compare this to the performance of a fully automated ground surface determination method. Lastly, we quantify ground surface displacement by directly computing multitemporal point cloud distances, thereby extending thaw subsidence observation to an area-based assessment. Using the expert-driven quantification as reference, we validate the other methods, including in-situ benchmark measurements from a conventional field survey. This study demonstrates that quantifying the ground surface using 3D point clouds is more accurate than the field survey method. The expert-driven method achieves an accuracy of 0.1 +/- 0.1 cm. Compared to this, in-situ benchmark measurements by single surveyors yield an accuracy of 0.4 +/- 1.5 cm. This difference between the two methods is important, considering an observed displacement of 1.4 cm at the sites. Thaw subsidence quantification with the fully automatic benchmark-based method achieves an accuracy of 0.2 +/- 0.5 cm and direct point cloud distance computation an accuracy of 0.2 +/- 0.9 cm. The range in accuracy is largely influenced by properties of vegetation structure at locations within the sites. The developed methods enable a link of automated quantification and expert judgement for transparent long-term monitoring of permafrost subsidence. (c) 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd
引用
收藏
页码:1589 / 1600
页数:12
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