Next Article in Journal
Tracking Human-Induced Landscape Disturbance at the Nasca Lines UNESCO World Heritage Site in Peru with COSMO-SkyMed InSAR
Next Article in Special Issue
Long-Term Subsidence in Lava Fields at Piton de la Fournaise Volcano Measured by InSAR: New Insights for Interpretation of the Eastern Flank Motion
Previous Article in Journal
Classification of High-Mountain Vegetation Communities within a Diverse Giant Mountains Ecosystem Using Airborne APEX Hyperspectral Imagery
Previous Article in Special Issue
Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms
Open AccessArticle

4D Monitoring of Active Sinkholes with a Terrestrial Laser Scanner (TLS): A Case Study in the Evaporite Karst of the Ebro Valley, NE Spain

1
CENIEH, Paseo Sierra de Atapuerca 3, 09002 Burgos, Spain
2
Department of Earth Sciences, University of Zaragoza, 50009 Zaragoza, Spain
3
Department of Geography, University of Valladolid, 47011 Valladolid, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(4), 571; https://doi.org/10.3390/rs10040571
Received: 7 March 2018 / Revised: 26 March 2018 / Accepted: 4 April 2018 / Published: 7 April 2018
(This article belongs to the Special Issue Remote Sensing of Land Subsidence)
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. View Full-Text
Keywords: ground-based LiDAR; subsidence rate; sinkhole evolution; salt karst ground-based LiDAR; subsidence rate; sinkhole evolution; salt karst
Show Figures

Graphical abstract

MDPI and ACS Style

Benito-Calvo, A.; Gutiérrez, F.; Martínez-Fernández, A.; Carbonel, D.; Karampaglidis, T.; Desir, G.; Sevil, J.; Guerrero, J.; Fabregat, I.; García-Arnay, Á. 4D Monitoring of Active Sinkholes with a Terrestrial Laser Scanner (TLS): A Case Study in the Evaporite Karst of the Ebro Valley, NE Spain. Remote Sens. 2018, 10, 571.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop