Luiz Carlos Teixeira Coelho

Prof. Dr. Luiz Carlos Teixeira Coelho

Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2025 in Symmetry
Verified
Journal Article
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LCLuiz Carlos Teixeira Coelho
Luiz Carlos Teixeira Coelho
MPMatheus Pinho
Matheus Pinho
FCFLAVIA MARTINEZ DE CARVALHO
FLAVIA MARTINEZ DE CARVALHO
AFAna Luiza Meneguci Moreira Franco
Ana Luiza Meneguci Moreira Franco
OEOmar Christian Quispe Enriquez
Omar Christian Quispe Enriquez
José Luis LermaJosé Luis Lerma
José Luis Lerma
Facial asymmetry presents a significant challenge for health practitioners, including physicians, dentists, and physical therapists. Manual measurements often lack the precision needed for accurate assessments, highlighting the appeal of imaging technologies like structured light scanners and photogrammetric systems. However, high-end commercial systems remain cost prohibitive, especially for public health services in developing countries. This study aims to evaluate cell-phone-based photogrammetric methods for generating 3D facial models to detect facial asymmetries. For this purpose, 15 patients had their faces scanned with the ACADEMIA 50 3D scanner, as well as with cell phone images and videos using photogrammetry and videogrammetry, resulting in 3D facial models. Each 3D model (coming from a 3D scanner, photogrammetry, and videogrammetry) was half-mirrored to analyze dissimilarities between the two ideally symmetric face sides using Hausdorff distances between the two half-meshes. These distances were statistically analyzed through various measures and hypothesis tests. The results indicate that, in most cases, both photogrammetric and videogrammetric approaches are as reliable as 3D scanning for detecting facial asymmetries. The benefits and limitations of using images, videos, and 3D scanning are also presented.

10 November 2025 in Smart Cities
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JFJonatas Goulart Marinho Falcão
Jonatas Goulart Marinho Falcão
LFLuiz Felipe de Almeida Furtado
Luiz Felipe de Almeida Furtado
GBGisele Barbosa
Gisele Barbosa
LCLuiz Carlos Teixeira Coelho
Luiz Carlos Teixeira Coelho
Rio de Janeiro’s favelas house over 20% of the city’s population in just 5% of its territory, with Rio das Pedras emerging as a critical case study: ranking as Brazil’s fifth most populous favela and its most vertically intensified. This study quantifies how uncontrolled vertical growth in informal settlements disrupts microclimate dynamics, directly impacting thermal comfort. Using high-resolution geospatial analytics, we integrated digital surface models (DSMs) derived from LiDAR and photogrammetric data (2013, 2019, and 2024) with microclimatic simulations to assess urban morphology changes and their thermal effects. A spatiotemporal cadastral analysis tracked vertical expansion (new floors) and demolition patterns, while ENVI-met simulations mapped air temperature anomalies across decadal scenarios. Results reveal two key findings: (1) rapid, unregulated construction has significantly altered local airflow and surface energy balance, exacerbating the urban heat island (UHI) effect; (2) microclimatic simulations consistently recorded elevated temperatures, with the most pronounced impacts in densely built zones. These findings underscore the need for public policies to mitigate such negative effects observed in informal settlement areas.

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PLPedro Henrique Muniz Lima
Pedro Henrique Muniz Lima
LCLuiz Carlos Teixeira Coelho
Luiz Carlos Teixeira Coelho
GRGuilherme Damasceno Raposo
Guilherme Damasceno Raposo
IBIrving da Silva Badolato
Irving da Silva Badolato
RFRaquel Batista Medeiros da Fonseca
Raquel Batista Medeiros da Fonseca
JFJonatas Goulart Marinho Falcão
Jonatas Goulart Marinho Falcão
This study presents an initial evaluation of the heuristic landslide susceptibility map for the Municipality of Rio de Janeiro by comparing it with the official landslide inventory. The objective is to provide a first analysis of the accuracy of the current map (Reference Map), which was developed using heuristic methods, in contrast with a basic predictive model based on Generalized Additive Models (GAMs). The study includes a critical review of the existing inventory and examines landslide records from 2010 to 2016, using georeferenced data provided by the GeoRio Foundation. Data from 2017 and 2018 are used for a preliminary test of the model. Rather than proposing a replacement, this study suggests that even simple data-driven models can offer useful insights into potential improvements in the reference susceptibility map. The results are exploratory and intended to inform future, more detailed analyses. While limited in scope, this work illustrates how quantitative approaches may complement existing methods in landslide prediction assessment.

1 January 2025 in Ambiente Construído
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LCLuiz Carlos Teixeira Coelho
Luiz Carlos Teixeira Coelho
SSSonia Maria Lima Silva
Sonia Maria Lima Silva
LBLeonardo Vieira Barbalho
Leonardo Vieira Barbalho
SMSilvia Paixão Linhares Mangini
Silvia Paixão Linhares Mangini
NONyelsen Fernandes de Oliveira
Nyelsen Fernandes de Oliveira
LCLucas Soares da Costa
Lucas Soares da Costa
Resumo O presente trabalho apresenta uma metodologia envolvendo levantamentos e análise de índices de vegetação. A região escolhida foi a recém-criada Unidade de Conservação denominada Área de Relevante Interesse Ecológico Floresta da Posse. O objetivo final foi a integração dessa região ao Cadastro Territorial Multifinalitário da Cidade do Rio de Janeiro. Os produtos gerados incluíram: 1) inventário de bases cadastrais e produtos geoespaciais existentes; 2) levantamento topográfico dos limites e feições de interesse; 3) geração de um modelo digital de elevação e curvas de nível; 4) processamento de imagens de sensores ópticos; e 5) integração dos produtos geoespaciais ao Sistema de Informações Urbanas do Município do Rio de Janeiro (componente do Cadastro Territorial Multifinalitário). Os resultados apresentam não somente os produtos obtidos através das distintas geotecnologias, mas também uma análise referente à sua integração enquanto ferramenta de gestão e planejamento de Unidades de Conservação em diferentes cenários.

1 December 2023 in Proceedings of the Institution of Civil Engineers - Municipal Engineer
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Journal Article
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LBLeonardo Vieira Barbalho
Leonardo Vieira Barbalho
FLFernando Rodrigues Lima
Fernando Rodrigues Lima
LCLuiz Carlos Teixeira Coelho
Luiz Carlos Teixeira Coelho
The urban environment of Rio de Janeiro has its own complexities when compared with other large cities in Brazil and around the world. In addition to its peculiar topographic structure, the history of the city – from its foundation to the present day – has led to unique and contradictory characteristics. A multipurpose land cadastre (MLC, in Portuguese: Cadastro Técnico Multifinalitário), since its inception in Brazil, promises to adapt urban environments to a new reality, facilitating the management of their entire territories by using tools such as geographic information systems. This study intends to identify and analyse the main issues that prevent Rio de Janeiro from establishing an effective MLC, most notably the existence of a variety of land-use bases with legal value, but which are contradictory if examined cartographically. This study was carried out by examining a subset of Rio de Janeiro: the Bangu neighbourhood. Bangu was chosen for being a considerably complex neighbourhood, with a variety of land uses that reflects the urban fabric of Rio de Janeiro as a whole. The analysis not only points out inconsistencies in current cadastral bases, but also suggests tasks and policies to help overcome them and provide the city with appropriate cadastral bases that reflect the reality of its urban soil.

1 February 2019 in Coleção Estudos Cariocas
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FSFilipi Rodrigues dos Santos
Filipi Rodrigues dos Santos
LCLuiz Carlos Teixeira Coelho
Luiz Carlos Teixeira Coelho
LCLuiz Henrique Guimarães Castiglione
Luiz Henrique Guimarães Castiglione
O município do Rio de Janeiro carece de uma rede geodésica unificada de modo a servir às suas atividades fundamentais de apoio cartográfico e levantamento cadastral. Esse fato é ainda mais evidenciado pela elevada antropização da cidade, o que acarretou na destruição de boa parte dos marcos geodésicos implementados ao longo do Século XX. A fim de adensar a rede geodésica fundamental do IBGE já existente no município, propõe-se a implantação de 70 referências de nível distribuídas em 7 linhas de nivelamento e 4 microcircuitos, além da implantação de 5 estações ativas que comporiam uma nova rede de referência do município do Rio de Janeiro. Após a etapa de definição da quantidade e localização dos marcos à serem implantados, deve ser realizada a materialização das estações geodésicas, seguida da medição e por fim é realizado o ajustamento da rede.