Monitoring Geological Risk Areas in the City of São Paulo Based on Multi-Temporal High-Resolution 3D Models-Reference-Cited by-同舟云学术

Monitoring Geological Risk Areas in the City of São Paulo Based on Multi-Temporal High-Resolution 3D Models

Published:2023-06-09 Issue:12 Volume:15 Page:3028
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

de Sousa Amanda Mendes¹²³^ORCID,Viana Camila Duelis¹²⁴^ORCID,Garcia Guilherme Pereira Bento¹²^ORCID,Grohmann Carlos Henrique²⁵^ORCID

Affiliation:

1. Institute of Geosciences, Universidade de São Paulo (IGc-USP), São Paulo 05508-080, Brazil

2. Spatial Analysis and Modelling Lab (SPAMLab), Institute of Energy and Environment, Universidade de São Paulo (IEE-USP), São Paulo 05508-010, Brazil

3. Coordination of Production and Analysis of Information (GEOINFO), Municipal Secretary of Urban Planning and Licensing (SMUL), São Paulo City Hall, São Paulo 01011-100, Brazil

4. Municipal Coordination of Civil Protection (COMDEC), Municipal Secretary of Urban Security (SMSU), São Paulo City Hall, São Paulo 01301-001, Brazil

5. Institute of Energy and Environment, Universidade de São Paulo (IEE-USP), São Paulo 05508-010, Brazil

Abstract

This paper presents a multi-temporal comparison of high-resolution 3D digital models from two urban areas susceptible to landslides in three time periods. The study areas belong to the São Paulo landslide risk mapping database and are named “CEU Paz” (CP) and “Parque Santa Madalena I” (PSM). For each area, a lidar digital surface model (DSM) (2017) and two structure-from-motion multi-view stereo DSMs (2019 and 2022) built from drone imagery were combined using raster algebra to generate three digital surface models of differences (DoDs). The DoDs were able to highlight changes in vegetation cover and buildings, which are important characteristics for evaluating geological risks in an urban context. Still, they were unable to highlight changes in the ground surface. The results demonstrate that the method greatly supports monitoring, allowing for greater detail and ease of detecting large-scale changes. Even with promising results, this technique should be understood as one more tool for mapping risk areas without replacing fieldwork.

Funder

Sao Paulo Research Foundation

Brazil’s National Council of Scientific and Technological Development

CAPES Brazil

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/15/12/3028/pdf

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