TY - GEN
T1 - Landslide Susceptibility Analysis Using 3D Modeling
T2 - 1st International conference on Mediterranean Geosciences Union, MedGU 2021
AU - Villalobos, Diego
AU - Descote, Pierre Yves
AU - Ramírez, Cristóbal
AU - Calderon, Mauricio
AU - Robledo, Luis F.
AU - Gatica, Gustavo
AU - Fuenzalida, Javiera
AU - Carvajal, Sergio
AU - Palma, Xaviera
AU - Ruete, David
AU - Nie, Wen
AU - Jian, Wenbin
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Massive landslides are rock and soil movement processes that have social, economic, and environmental impacts. Their study contributes to the balance of human settlements with the ecosystem and dynamics to mitigate and prevent risk. The intervention zone’s geomorphology, geology, precipitation, and geometry must be quantitatively considered to establish a susceptibility model. A methodology is proposed to analyze the susceptibility of mass removal with a 3D model built from aerial photogrammetry. The first step considers planning and executing a photogrammetric flight. Then, the photographic and topographic data are processed to generate a 3D model. At the same time, a map overlay is made from ortho mosaics, Digital Elevation Models, and layers. Finally, a model of transverse slope profiles is generated to determine the safety factor in San José de Maipo, Chile (33°38′S). The site presents traces and evidence of a landslide. Surface measurements of constructions, vegetation, and tension cracks were obtained. The main structural trends and depth of contact between bedrock and surface deposits detected are described. The generated models contribute to the susceptibility analysis by characterizing the landslide morphologies. Currently, it is possible to characterize undetectable removals only with Landsat imagery. The methodology is scalable to other geographic zones with geological evidence of rockslides, thus reducing uncertainty.
AB - Massive landslides are rock and soil movement processes that have social, economic, and environmental impacts. Their study contributes to the balance of human settlements with the ecosystem and dynamics to mitigate and prevent risk. The intervention zone’s geomorphology, geology, precipitation, and geometry must be quantitatively considered to establish a susceptibility model. A methodology is proposed to analyze the susceptibility of mass removal with a 3D model built from aerial photogrammetry. The first step considers planning and executing a photogrammetric flight. Then, the photographic and topographic data are processed to generate a 3D model. At the same time, a map overlay is made from ortho mosaics, Digital Elevation Models, and layers. Finally, a model of transverse slope profiles is generated to determine the safety factor in San José de Maipo, Chile (33°38′S). The site presents traces and evidence of a landslide. Surface measurements of constructions, vegetation, and tension cracks were obtained. The main structural trends and depth of contact between bedrock and surface deposits detected are described. The generated models contribute to the susceptibility analysis by characterizing the landslide morphologies. Currently, it is possible to characterize undetectable removals only with Landsat imagery. The methodology is scalable to other geographic zones with geological evidence of rockslides, thus reducing uncertainty.
KW - Geological hazard
KW - Geological modeling
KW - Landslide
KW - Photogrammetry
KW - Risk
UR - http://www.scopus.com/inward/record.url?scp=85180622471&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-42917-0_36
DO - 10.1007/978-3-031-42917-0_36
M3 - Conference contribution
AN - SCOPUS:85180622471
SN - 9783031429163
T3 - Advances in Science, Technology and Innovation
SP - 159
EP - 162
BT - Recent Research on Environmental Earth Sciences, Geomorphology, Soil Science, Paleoclimate, and Karst - Proceedings of the 1st MedGU, Istanbul 2021 Volume 4
A2 - Çiner, Attila
A2 - Khan, Md Firoz
A2 - Kallel, Amjad
A2 - Rodrigo-Comino, Jesús
A2 - Parise, Mario
A2 - Barzegar, Rahim
A2 - Ergüler, Zeynal Abiddin
A2 - Khelifi, Nabil
A2 - Ali, Imran
PB - Springer Nature
Y2 - 25 November 2021 through 28 November 2021
ER -
