Comparison between image- and surface-derived displacement fields for landslide monitoring using an unmanned aerial vehicle

Author:

Teo Tee-Ann,Fu Yu-Ju,Li Kuo-Wei,Weng Meng-Chia,Yang Che-Ming

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference25 articles.

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3. Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning;Casagli;Geoenviron. Disast.,2017

4. Digital particle image thermometry/velocimetry: a review;Dabiri;Exp. Fluids,2009

5. Hinojosa-Corona, A., Nissen, E., Limon-Tirado, J. F., Arrowsmith, R., Krishnan, A., Saripalli, S., Oskin, M.E., Arregui, S.M., Teran, O.J., 2013. 3D deformation field from matching pre-to post-event aerial LiDAR point clouds, the 2010 El Mayor-Cucapah M7. 2 earthquake case. In: AGU Spring Meeting Abstracts, vol. 2013, pp. G31A-03.

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