Digital landform reconstruction using old and recent open access digital aerial photos

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Title: Digital landform reconstruction using old and recent open access digital aerial photos
Authors: Riquelme, Adrián | Del Soldato, Matteo | Tomás, Roberto | Cano, Miguel | Jordá Bordehore, Luis | Moretti, Sandro
Research Group/s: Ingeniería del Terreno y sus Estructuras (InTerEs)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Civil
Keywords: SfM | Aerial photos | Anthropogenic change detection | 3D reconstruction
Knowledge Area: Ingeniería del Terreno
Issue Date: 14-Jan-2019
Publisher: Elsevier
Citation: Geomorphology. 2019, 329: 206-223. doi:10.1016/j.geomorph.2019.01.003
Abstract: Technological progress in remote sensing has enabled digital representation of terrain through new techniques (e.g. digital photogrammetry) and instruments (e.g. 3D laser scanners). However, the use of old aerial images remains important in geosciences to reconstruct past landforms and detect long-term topographic changes. Administrations have recently expressed growing interest in sharing photogrammetric datasets on public repositories, providing opportunities to exploit these resources and detect natural and anthropogenic topographic changes. The SfM-MVS photogrammetric technique was applied to scanned historical black and white aerial photos of the Serra de Fontcalent (Alicante, Spain), as well as to recent high-quality digital aerial photos. Ground control points (GCPs) extracted from a LiDAR-derived three-dimensional point cloud were used to georeference the results with non-linear deformations. Two point clouds obtained with SfM-MVS were compared with the LiDAR-derived reference point cloud. Based on the result, the quality of the models was analysed through the comparison of the stages on stable areas, i.e., lands where no variations were detected, and active areas, with quarries, new infrastructures, fillings, excavations or new buildings. This study also indicates that errors are higher for old aerial photos (up to 5 m on average) than recent digital photos (up to 0.5 m). The application of SfM-MVS to open access data generated 3D models that enhance the geomorphological analysis, compared to stereophotogrammetry, and effectively detected activities in quarries and building of landfills.
Sponsor: This work was partially funded by the University of Alicante, Spain, under Projects vigrob-157 GRE14-04, and GRE15-19; the University of Florence Earth Science Department, Italy; the Spanish Ministry of Economy and Competitiveness (MINECO), Spain, and EU FEDER, under Projects TIN2014-55413-C2-2-P and TEC2017-85244-C2-1-P and the Spanish Ministry of Education, Culture and Sport, Spain, under project PSX17/00439.
URI: http://hdl.handle.net/10045/86047
ISSN: 0169-555X (Print) | 1872-695X (Online)
DOI: 10.1016/j.geomorph.2019.01.003
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2019 Elsevier B.V.
Peer Review: si
Publisher version: https://doi.org/10.1016/j.geomorph.2019.01.003
Appears in Collections:INV - INTERES - Artículos de Revistas

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