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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison

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Author(s):
Guilherme Pereira Bento Garcia [1] ; Carlos Henrique Grohmann [2] ; Camila Duelis Viana [3] ; Elton Barbosa Gomes [4]
Total Authors: 4
Affiliation:
[1] Universidade de São Paulo. Instituto de Geociências - Brasil
[2] Universidade de São Paulo. Instituto de Energia e Ambiente - Brasil
[3] Prefeitura do Município de São Paulo. Defesa Civil - Brasil
[4] Universidade de São Paulo. Instituto de Geociências - Brasil
Total Affiliations: 4
Document type: Journal article
Source: Bol. Ciênc. Geod.; v. 28, n. 3 2022-10-10.
Abstract

Abstract: Gravitational mass movements are natural destructive processes that can cause enormous losses. New technologies such as laser scanning and remotely piloted aircrafts (RPA) along with Structure-from-Motion-Multi-View Stereo (SfM-MVS) photogrammetry technique provides an alternative to conventional mapping methods. A hill with a landslide located in the city of Cunha - SP was surveyed by terrestrial laser scanner (TLS) and RPA-based SfM-MVS. SfM-MVS point cloud covers a larger area and point distribution is more homogeneous while TLS points have an uneven distribution. Small distances between point clouds were predominant in the vicinity of the landslide and greater differences only occurred on the scene edges. DEMs (Digital Elevation Model) were generated from both point clouds. The volume of material displaced from the upper part (scarp) of the landslide was 70.05 m3 for the TLS DEM and 77.15 m3 for the SfM-MVS while the volume of material accumulated in the lower part (body) of the landslide was 66.85 m3 and 62.68 m3 respectively. Slope and roughness were calculated and showed very similar results for TLS and SfM-MVS. (AU)

FAPESP's process: 16/06628-0 - Application of high-resolution digital elevation models in geology and geomorphology
Grantee:Carlos Henrique Grohmann de Carvalho
Support Opportunities: Regular Research Grants
FAPESP's process: 19/26568-0 - High-resolution remote sensing, deep learning and geomorphometry in analyses of mass movements and geological risk
Grantee:Carlos Henrique Grohmann de Carvalho
Support Opportunities: Regular Research Grants