METHODOLOGY FOR GREEN AND BUILT VOLUME ANALYSIS
Abstract
Today, in some Brazilian cities, there is the possibility of using high-resolution data and automated classification
based on spectral bands. Thus, this article aims to evaluate the association of the NDVI(normalized
difference vegetation index) to the use of LiDAR, in order to analyze urban vegetation cover and the
changes of the local landscapes. It was observed that the association of the high spatial resolution of an
aerophotogrammetric image to the spectral response in the near infrared range allowed the vegetation to
be identified. This enabled the documentation, visualization and analysis of a location’s phenomenon,
facilitating the investigation of spatial relationships through representation by maps, charts, especially for
simulating possible spatial scenarios and thus permitting the evaluation of interventions and predictions to
be made, assisting projects or proposed laws and urban parameters.
Keywords: LIDAR; NDVI; Remote sensing; Green areas; Urban management; Pampulha.
References
v. 67, n. 1-4, p. 9–26 , 2004.
BENEVOLO, L. A cidade e o Arquiteto. São Paulo: Perspectiva, 2004.
BESSA, Kelly Cristina, SOARES, Beatriz Ribeiro. Novas espacialidades urbano-regionais perante a expansão
do meio técnico-científico-informacional. Mercator v. 2, n. 4, p. 19–34, 2003.
BRASIL. Estatuto da Cidade: Lei 10.257 de 10 de julho de 2001. 3. ed. Brasília: Câmara dos Deputados,
Edições Câmara, 2010.
Mercator, Fortaleza, v. 17, e17021, 2018 13/13
www.mercator.ufc.br
Methodology for Green and Built Volume Analysis
DUPAGNE, A., HÉGRON, G. Introduction, Architectural and Urban Ambient Environment: First International
Workshop, Nantes, France, L’Écoled’Architecture de Nantes, 2002.
FREIRE, N. C. F., PACHECO, A. P. Aspectos da detecção de áreas de risco à desertificação na região de
Xingó. XII. Paperpresentedat Simpósio brasileiro de sensoriamento remoto. Anais, INPE, Brasil.
GIONGO M., KOEHLER, Henrique S., MACHADO, Sebastião do A., KIRCHNER, Flavio F., MARCHETTI,
Marco. LiDAR. Pesquisa Florestal Brasileira, Colombo, v.30, n. 63, p. 231-244, 2010.
HOUGHTON, R. A. The Worldwide Extent of Land-use Change. BioScience v. 44, n. 5, p. 305–313 , 1994.
Revised June 2015.
LOBODA, Carlos Roberto et al. Áreas Verdes Públicas Urbanas. Revista Ambiência, v. 1, n. 1, 2005.
LYNCH, Kevin. A imagem da cidade, 3ª Ed. São Paulo, editora Martins Fontes, 2011.
MASCARÓ, L., MARCARÓ, J. J. Ambiêncie Urbana-UrbanEnvironment. 3ª ed. Porto Alegre: Masquatro
Editora, 2009.
MOONS, T., 1997. Report on the Joint ISPRS Commission III/IV Workshop “3D Reconstruction and
Modelling of Topographic Objects”, Stuttgart, Germany http://www.radig.informatik.tu-muenchen.de/
ISPRS/WG-III4-IV2-Report.html(28 Sep. 1999).
MYNENI, R.B. and Hall, F.G. and Sellers, P.J. and Marshak, A.L. The interpretation of spectral vegetation
indexes. IEEE Transactions on Geoscience and Remote Sensing, v.33, p.481-486, 1995.
RAFIEE, A., Dias, E., Koomen, E. Local impact of tree volume on nocturnal urban heat island: A casestudy
in Amsterdam. Urban Forestry & Urban Greening, v.16, p. 50-61, 2016.
RIBAS, Rodrigo P., MOURA, Ana Clara M., CARVALHO, Grazielle A., FONSECA, Bráulio M. Proposição
metodológica de extração de altimetria em edificações utilizando dados LiDAR com vista a
estudos volumétricos de coeficiente de aproveitamento.SELPER - La Geoinformacion al Servicio de
la Sociedad, 2014.
ROUSE, J.W., HAAS, R.H., SCHELL, J.A., DEERING, D.W. “Monitoring vegetation systems in the Great
Plains with ERTS”. Paper presented at Third Symposium of ERTS, Greenbelt, Maryland, USA. NASA
SP-351, V1:309-317.
TOMÁS, Lívia, FONSECA, Leila, ALMEIDA, Cláudia, LEONARDI, Fernando, PEREIRA, Madalena.
Urban population estimation based on residential buildings volume using IKONOS-2 images and lidar data,
International Journal of Remote Sensing, 37:sup1, 1-28, 2016. DOI: 10.1080/01431161.2015.1121301.
SOUZA, Guilherme H. B., AMORIM, Amilton. LiDAR data integration for 3D Cadastre: some experiences
from Brazil. FIG Working Week 2012: Knowing to manage the territory, protect the environment, evaluate
the cultural heritage. Rome, Italy, 6-10 May, 2012.
Keywords

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following terms:
- Authors retain the copyright and grant MERCATOR the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License, which allows the sharing of the work with recognition of the authorship of the work and initial publication in this journal.
- Authors are authorized to sign additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (e.g., publish in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal.
- Authors are allowed and encouraged to publish and distribute their work online (e.g., in institutional repositories or on their personal page) at any point before or during the editorial process, as this can generate productive changes as well as increase the impact and citation of the published work (see The Effect of Free Access).
- Authors are responsible for the content of the manuscript published in the journal.