Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon

Authors

DOI:

https://doi.org/10.21680/2447-3359.2022v8n2ID27951

Abstract

This paper aims to highlight the consequences the disorderly occupation caused on the surface temperature in Ji-Paraná/RO between 1990 and 2020. The research is based on geoprocessing tools, such as QGis v 3.10, Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM +), Landsat 8 Orbital Land Imager (OLI) and Thermal InfraRed Sensor (TIRS) satellites, obtained by the United States Geological Survey (USGS).  Images were used in order to analyze the Vegetation Index by Normalized Difference (NDVI), estimation of Surface Temperature and Land Use Occupation using the Random Forest method. According to the results, Ji-Paraná’s urban area lost 11,77% of native vegetation in comparison to 1990 figures. Moreover, the entropized area grew 58,53%. As a result, the average temperature has rose from 35,03 °C [34,85 °C; 35,22 °C] in 1990 to 47,04 °C [46,82 °C; 47,26 °C] in 2020. It is evident that native vegetation suppression can directly influence the Surface Temperature and population thermal comfort. Therefore, it is necessary to properly implement the current Master Plan.

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Author Biographies

Wellington Kruger Brites Reis, Universidade Federal de Rondônia-Paraná/RO

Environmental Engineer and Sanitarian based at the Laboratory of Geomatics and Statistics, Department of Environmental Engineering, UNIR, Ji-Paraná/RO, Brazil.

Rodrigo Martins Moreira, Universidade Federal de Rondônia-Paraná/RO

Adjunct Professor at the Department of Environmental Engineering at the Federal University of Rondônia - Ji-Paraná Campus, promoting integrative activities between academia, government and private initiative. Coordinator of the Laboratory of Geomatics and Statistics (LABGET - UNIR). Leader of the Environmental Engineering Research Group (GPEA-UNIR). It operates transversally in the areas of Geographic Information Systems (GIS) and Environmental Management, deploying remote sensing of the environment, analysis of spatial autocorrelation integrating GIS and census data, management of water resources, development and application of sustainability indicators. Post-Doctorate in Natural Resources - UFMS (2020). PhD in Environmental Engineering Sciences - EESC/USP (2017). Master in Agricultural Sciences (2014). Graduated in Environmental Sanitation (2011) and Environmental Management (2013) from IFGoiano - Campus Rio Verde.

Bruno César dos Santos, Escola de Engenharia de São Carlos - Universidade de São Paulo-USP

PhD student in Sciences at the School of Engineering of São Carlos, University of São Paulo (EESC/USP), Center for Climatology applied to the Environment. Master in Sciences, University of São Paulo (EESC, 2016). Degree in Geography from the Federal University of Alfenas (UNIFAL-MG, 2013). Conducts research in the areas of Climatology Applied to the Environment, Agrometeorology, Geotechnologies and Education. He has experience as a researcher and teacher in the area of ​​education in Geography.

Paulo Henrique de Souza, Universidade Federal de Alfenas, UNIFAL/MG

He holds a degree in Geography from the Universidade Estadual Paulista Júlio de Mesquita Filho (1993), a master's degree in Civil Engineering - Hydraulics from the University of São Paulo (1998), a doctorate in Environmental Engineering Sciences from the University of São Paulo (2005) and a postdoctoral degree in Geography from the Paulista State University Júlio de Mesquita Filho (2010). He is currently researching and teaching at the Federal University of Alfenas UNIFAL-MG. He has experience in the field of Geosciences, working mainly on the following topics: planning, space, human activities, education, climatology and biogeography.

Published

15-12-2022

How to Cite

REIS, W. K. B.; MOREIRA, R. M.; SANTOS, B. C. dos; SOUZA, P. H. de. Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon. Notheast Geoscience Journal, [S. l.], v. 8, n. 2, p. 172–188, 2022. DOI: 10.21680/2447-3359.2022v8n2ID27951. Disponível em: https://periodicos.ufrn.br/revistadoregne/article/view/27951. Acesso em: 24 jul. 2024.

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