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

Autor(es)

Guilherme Pereira Bento Garcia ^[1] ; Carlos Henrique Grohmann ^[2] ; Camila Duelis Viana ^[3] ; Elton Barbosa Gomes ^[4]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: Bol. Ciênc. Geod.; v. 28, n. 3 2022-10-10.

Resumo

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)

• Processo FAPESP: 16/06628-0 - Aplicação de modelos digitais de elevação de alta resolução na análise de alvos geológicos e geomorfológicos
• Beneficiário: Carlos Henrique Grohmann de Carvalho
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 19/26568-0 - Sensoriamento remoto de alta resolução, deep learning e geomorfometria em análise de deslizamentos naturais e risco geológico
• Beneficiário: Carlos Henrique Grohmann de Carvalho
• Modalidade de apoio: Auxílio à Pesquisa - Regular