Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy

Abstract. This study analyzes urban verticalization and socio-spatial patterns in Belo Horizonte using LiDAR-derived building heights and infrastructure indicators. A normalized Digital Surface Model (nDSM) was generated from LiDAR data to map vertical structures with high spatial accuracy. Self-Organizing Maps (SOM) were applied to cluster neighborhoods based on height, infrastructure, and demographic data. The results reveal distinct urban typologies, including central consolidated zones, peripheral vulnerable areas, and hybrid transitional regions. While verticalization reflects urban consolidation, it must be interpreted alongside socio- infrastructural conditions to fully understand spatial inequalities and urban dynamics.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2026-03-13
DOI
https://doi.org/10.5194/isprs-annals-x-3-w4-2025-313-2026
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy

Claudia Maria De Almeida, Paulo Roberto da Silva Ruiz, Aluizio Brito Maia, Ezequiel Silva Rocha
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Remote Sensing and LiDAR Applications
article

Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy

Claudia Maria De Almeida, Paulo Roberto da Silva Ruiz, Aluizio Brito Maia, Ezequiel Silva Rocha
article en

Abstract

Abstract. This study analyzes urban verticalization and socio-spatial patterns in Belo Horizonte using LiDAR-derived building heights and infrastructure indicators. A normalized Digital Surface Model (nDSM) was generated from LiDAR data to map vertical structures with high spatial accuracy. Self-Organizing Maps (SOM) were applied to cluster neighborhoods based on height, infrastructure, and demographic data. The results reveal distinct urban typologies, including central consolidated zones, peripheral vulnerable areas, and hybrid transitional regions. While verticalization reflects urban consolidation, it must be interpreted alongside socio- infrastructural conditions to fully understand spatial inequalities and urban dynamics.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-3/W4-2025
Instituto Tecnológico de Aeronáutica (BR), Instituto Nacional de Pesquisas Espaciais (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Sustainable cities and communities
Openalex Percentile: Top 30%
Remote Sensing and LiDAR Applications
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