GEOSPATIAL ANALYSIS OF THE RELATIONSHIP BETWEEN URBAN STRUCTURE, VEGETATION, POPULATION AND SURFACE TEMPERATURE IN THE CUIABÁ-VÁRZEA GRANDE-MT CONURBATION

Autores

DOI:

https://doi.org/10.5380/raega.v63i2.99937

Resumo

The urbanization process does not occur in a synchronized way, which could result in differences of urban areas depending on various socioeconomic factors. The implications of such differences can result in long-term consequences for the local urban context. This study proposes a descriptive model to characterize the Cuiabá–Várzea Grande (Mato Grosso State) conurbation, considering its building structure, vegetation cover, land surface temperature, population, and topography. To accomplish this, spectral indices derived from remote sensing data, related to built-up areas, vegetation, and land surface temperature were employed, along with terrain elevation and population information from census data. The model, based on cluster analysis, allowed the identification of three units which explain the urban distribution of the conurbation: two strongly associated with the building structure (more or less densely built up) and a third one with mainly vegetation cover, generally located at the edges of the study area. These characteristics are reflected in land surface temperature, which is lower in the unit with a higher presence of green cover and higher in the area with dense constructions and scarce vegetation. The unit encompassing the central regions has open areas that could be used for more efficient uses, such as commercial, residential, or social activities. The proposed model demonstrates the potential to improve the management of the urban development in the area under study.

Biografia do Autor

Bruna Aparecida Silva Dias, Embrapa

Ph.D. in Geography from the Federal University of Uberlândia (UFU), with expertise in Remote Sensing, Geoprocessing, and Geographic Information Systems (GIS) applied to environmental and agricultural research. She has solid experience in agricultural mapping, particularly in the analysis of sugarcane expansion and land use, as well as forest restoration and environmental risk management. With a strong background in geospatial data analysis and spatial modeling, she has developed scientific and technical projects, working in multidisciplinary teams focused on excellence and innovation.

João Paulo da Silva, Embrapa

Agricultural Engineer (UFSCar, 2014), with a Master’s degree in Agricultural Engineering (Feagri/Unicamp, 2017) and a Ph.D. in Digital Agriculture (Feagri/Unicamp, 2024). He has experience in developing machine learning and artificial intelligence-based models for mapping and extracting biophysical parameters of agricultural crops using agrometeorology and remote sensing, based on optical and synthetic aperture radar (SAR) sensors—particularly coherent polarimetry techniques—focused on pasture, sugarcane, and coffee areas. He is also experienced in implementing greenhouse gas emissions and removals quantification systems in agricultural activities using the GHG Protocol methodology.

He contributed to the development of the water balance module of the Agritempo system (Embrapa and Cepagri), as well as tools for calculating water balance and estimating phenological development (full flowering and yield penalty) of Arabica coffee plants. He served as a consultant for FAO (FAO-Mesoamerica office) in the implementation of a system for applying the Agricultural Zoning for Climate Risk (ZARC) in Central American countries, primarily focused on the Dry Corridor region.

In the field of information technology, he has experience in software development, mainly using Python and C#, and has developed several systems for data retrieval and processing. His interests lie in the use of remote sensing and agrometeorology to develop scientific and outreach solutions that support climate change adaptation and mitigation in the agricultural sector.

Natália de Souza Santos, Embrapa

Master’s research collaborator at Embrapa Digital Agriculture. Holds a Master’s degree in Geosciences from UNESP and a Bachelor’s degree in Geography from the Federal University of Goiás (UFG). Participated as a volunteer in Technological Initiation (2018–2019) and was a PIBIC Scientific Initiation scholarship holder (2020–2021). Has experience with Environmental Technical Reports and cartographic production using QGIS. Her background is rooted in Geosciences, with a particular interest in the following topics: Protected Areas, Environmental Education, Geographic Information Systems (GIS), Environmental Analysis, and Vegetation Cover Degradation.

Carolina Garcia de Figueiredo Colin, Embrapa

Agronomist from the “Luiz de Queiroz” College of Agriculture – ESALQ/USP. She began her career focusing on fruit farming and organic agriculture, where she deepened her knowledge and gained valuable hands-on experience. During this time, she also had the opportunity to lead a rural extension project at the Milton Santos Settlement in Americana, São Paulo.

In 2019, she began an internship at Embrapa Territorial, where she entered the field of geoprocessing, advanced her studies in fruit farming, and established direct contact with producers and the research sector. After graduating, she spent three years working in the commercial sector, where she explored the intersection between technical expertise and market dynamics.

She currently holds a scholarship at Embrapa Environment, where she works with geoprocessing, fruit farming, and rural extension, with an emphasis on studying rural youth and strategies for family succession in agriculture.

Vera Aparecida de Figueiredo, Embrapa

Systems analyst with a degree in Computer Science and eighteen years of experience in projects related to telecommunications and geoprocessing, including software development, requirements analysis, and testing. Skilled in configuration management, responsible for software version control and the creation and maintenance of compilation scripts (Makefile, g++) for Linux and Chill, as well as production release generation.

Worked as a research fellow and consultant on the project "ZEEZAE-AML – Harmonization of the Ecological-Economic Zoning of the Legal Amazon and Integration with Agroecological Zoning of the Region", at Embrapa Digital Agriculture in partnership with the Ministry of the Environment (MMA), contributing to the development of new functionalities for the SIAGEO Amazônia – Interactive Geospatial Analysis System of the Legal Amazon.

Technologies used: Java, PHP, HTML5, JavaScript, ShellScript, PostgreSQL database with PostGIS extension, i3Geo platform, Linux (Ubuntu). Experienced in test automation using JavaScript, Selenium WebDriver, Cucumber, and BDD; issue tracking and feature enhancement using Jira; continuous integration with GitLab CI/CD; and agile methodology tools such as Scrum and Trello.

Jean Victor Barrozo Chaves, Embrapa

Completed secondary education at the Technical High School of Campinas (2021). Currently enrolled at the Pontifical Catholic University of Campinas (PUC-Campinas). Has experience in the field of Computer Science, with an emphasis on Computing Methodology and Techniques.

Luiz Antônio Falaguasta Barbosa, Embrapa

Bachelor’s degree in Computer Science from São Paulo State University (UNESP, 2003), Master’s degree in Computer Science from the Federal University of São Carlos (UFSCar, 2006), and currently a Ph.D. candidate in Computer Science at UNESP, with a research internship at Institut Agro Montpellier, funded by the Capes/Print Program.

Has experience as a full-time instructor in public technical high schools and undergraduate computing courses at the Paula Souza State Center for Technological Education and the Federal Institute of São Paulo. Also worked as a software developer in various mid-to-large private companies in Campinas. Currently serves as a systems analyst at the Brazilian Agricultural Research Corporation (Embrapa), supporting research on sugarcane productivity under different climate and management conditions.

Eduardo Antônio Speranza, Embrapa

Bachelor’s degree in Computer Science from the Institute of Mathematics and Computer Sciences (ICMC/USP), Master’s degree in Electrical Engineering from the School of Engineering of São Carlos (EESC/USP), and Ph.D. in Computer Science from the Department of Computing at the Federal University of São Carlos (DC/UFSCar).

Currently works as a Research and Development Analyst at Embrapa Digital Agriculture (Campinas-SP) and contributes to the National Reference Laboratory for Precision Agriculture (Lanapre) at Embrapa Instrumentation (São Carlos-SP). His work focuses on spatial databases, spatial data mining, precision agriculture, artificial intelligence (AI), and the Internet of Things (IoT).

João dos Santos Vila da Silva, Embrapa

Ph.D. in Agricultural Engineering with a focus on Sustainable Rural Planning and Development from FEAGRI/UNICAMP (Campinas, SP). Holds a Master’s degree in Remote Sensing with emphasis on Environmental Analysis from INPE (São José dos Campos, SP) and a specialization in Remote Sensing from UNESP (Rio Claro, SP). Earned a Bachelor’s degree in Science Education with a specialization in Mathematics from UFMS (Corumbá, MS).

Has been employed by the Brazilian Agricultural Research Corporation (Embrapa) since 1982, initially at Embrapa Pantanal, and is currently part of the research team at Embrapa Digital Agriculture. Serves as a professor and advisor in the Graduate Program (Master’s and Ph.D.) in Geography at UNEMAT (PPGGEO). Member of editorial boards and reviewer for scientific journals. Participated in technical meetings and/or scientific observations in Argentina, Venezuela, Spain, the United States, Canada, and France. Recipient of the 2004 GISBRASIL Scientific Talent Award.

His current research focuses on the intersection between Information and Communication Technologies (ICT) and Geotechnologies, with applications in web and mobile platforms for Environmental Zoning and Planning, Environmental Licensing, and techniques for Vegetation Cover and Land Use Mapping.

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Publicado

2025-08-20

Como Citar

Dias, B. A. S., Silva, J. P. da, Santos, N. de S., Colin, C. G. de F., Figueiredo, V. A. de, Chaves, J. V. B., … Silva, J. dos S. V. da. (2025). GEOSPATIAL ANALYSIS OF THE RELATIONSHIP BETWEEN URBAN STRUCTURE, VEGETATION, POPULATION AND SURFACE TEMPERATURE IN THE CUIABÁ-VÁRZEA GRANDE-MT CONURBATION. Ra’e Ga: O Espaço Geográfico Em Análise, 63(2), 277–296. https://doi.org/10.5380/raega.v63i2.99937