Integration of 3D modeling, aerial LiDAR and photogrammetry to study a synsedimentary structure in the Early Jurassic Calcari Grigi (Southern Alps, Italy)

Abstract

LiDAR and photogrammetry data are integrated to study an Early Jurassic extensional synsedimentary structure in the Italian Southern Alps. Airborne LiDAR data helped in getting geologic information in areas covered by vegetation, photogrammetry was applied to produce a high-resolution 3D textured model of the inaccessible parts of the outcrop. LiDAR and photgrammetric data were merged together producing a multi-resolution model. Key geologic boundaries and faults bounding the synsedimentary structure were digitized in a 3D geomodeling environment. The reconstruction yielded information about the structure kinematics and accumulated displacements.

Integration of Terrestrial Laser Scanning and UAS Photogrammetry in Geological Studies: Examples from Croatia

“…This is why both approaches have seen considerable development both in terms of advances in instrument and software technology, and practical application. Furthermore, while either TLS or photogrammetry can be used individually, approaches integrating multiple methods have been discussed and implemented by multiple authors [4,54,[62][63][64].…”

“…), however, during the last decade academic and research institutions started to use TLS for variety of applications [1]. From seismic event change detection [2], structural and sedimentary studies [3][4][5], archeological and paleontological investigations [6][7][8][9] to geological engineering such as virtual outcrop analyses, cliff sections modeling, landslide body models [10][11][12][13][14] and many others.…”

A Critical Review of Remote Sensing Approaches and Deep Learning Techniques in Archaeology

“…The registration errors between LiDAR and photogrammetric data (DSMs of Mount Cornello in Italy) did not exceed two meters. The resulting 3D model allowed for the identification and digitization of geologic features [ 75 ]. Thus, successful registration between two different datasets of the same AOI tends to achieve photorealistic 3D models.…”

3-D digital outcrop model for analysis of brittle deformation and lithological mapping (Lorette cave, Belgium)

“…Specifically, for structural geology purposes, DOMs are of great interest because they can provide a continuous spatial observation in terms of rock units, lithological contacts and geometries of geological structures. Such novel kind of datasets represent significant inputs for new quantitative structural modelling and may bring new clues with respect to traditional sectional interpretations (Bistacchi et al, 2011;Chalke et al, 2012;Franceschi et al 2015).…”