Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12136/207
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Title: 4D monitoring of active sinkholes with a Terrestrial Laser Scanner (TLS): a case study in the evaporite karst of the Ebro Valley, NE Spain
Authors: Benito-Calvo, Alfonso
Gutiérrez, Francisco Javier
Martínez-Fernández, Adrián
Carbonel, Domingo
Karampaglidis, Theodoros
Desir, Gloria
Sevil, Jorge
Guerrero, Jesús
Fabregat González, Iván
García-Arnay, Ángel
Keywords: Ground-based LiDAR;Subsidence rate;Sinkhole evolution;Salt karst
Issue Date: Apr-2018
Publisher: MDPI
Citation: Remote Sensing, 2018, 10 (4), 571
Abstract: This work explores, for the first time, the application of a Terrestrial Laser Scanner (TLS) and a comparison of point clouds in the 4D monitoring of active sinkholes. The approach is tested in three highly-active sinkholes related to the dissolution of salt-bearing evaporites overlain by unconsolidated alluvium. The sinkholes are located in urbanized areas and have caused severe damage to critical infrastructure (flood-control dike, a major highway). The 3D displacement models derived from the comparison of point clouds with exceptionally high spatial resolution allow complex spatial and temporal subsidence patterns within one of the sinkholes to be resolved. Detected changes in the subsidence activity (e.g., sinkhole expansion, translation of the maximum subsidence zone, development of incipient secondary collapses) are related to potential controlling factors such as floods, water table changes or remedial measures. In contrast, with detailed mapping and high-precision leveling, the displacement models, covering a relatively short time span of around 6 months, do not capture the subtle subsidence (<0.6–1 cm) that affects the marginal zones of the sinkholes, precluding precise mapping of the edges of the subsidence areas. However, the performance of TLS can be adversely affected by some methodological limitations and local conditions: (1) limited accuracy in large investigation areas that require the acquisition of a high number of scans, increasing the registration error; (2) surface changes unrelated to sinkhole activity (e.g., vegetation, loose material); (3) traffic-related vibrations and wind blast that affect the stability of the scanner.
URI: http://hdl.handle.net/20.500.12136/207
ISSN: 2072-4292
DOI: 10.3390/rs10040571
metadata.dc.relation.publisherversion: https://www.mdpi.com/2072-4292/10/4/571
Type: Article
Appears in Collections:Cartografía Digital y Análisis 3D
Geocronología y Geología



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