Accuracy estimates of land use and land cover classification are associated with the sensitivity of the MAXVER classifier and the holdout subsampling technique on allotments in Pelotas-RS

Authors

DOI:

https://doi.org/10.5902/2179460X87230

Keywords:

Accuracy, KAPPA statistics, Remote sensing, SIG

Abstract

Urban growth in the Pelotas-RS community has intensified in recent years. The number of new subdivisions and housing developments available in the city’s real estate market is a testament to this trend. With this growth, potential problems related to flooding and possible inundation become a cause for concern given the topographical characteristics of the city. One way to monitor this urban expansion is through remote sensing analysis, which provides a wide range of statistical information, including precision and accuracy indices obtained from land use and land cover classification methods. The KAPPA test, for instance, has proven to be very efficient in analyzing areas of impervious surfaces, loss of vegetation cover, etc. These values are important for carrying out urban drainage calculations to determine the dimensioning of rainwater systems. In this case, the study focused on Pelotas. The classification procedure achieved an accuracy of over 90%, which is considered excellent for this type of interpretative analysis.

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Author Biographies

Everton Rodrigues Zirbes, Universidade Federal de Pelotas

He is a Master’s student in the Postgraduate Program in Environmental Sciences (PPGCAmb) and a Technologist in Geoprocessing (2021) at the Center for Engineering (CEng) at the Federal University of Pelotas (UFPEL). I am a Technician in Meteorology (2022) from the Federal Institute of Santa Catarina (IFSC). Currently, I am a scholarship researcher from the Coordination for the Improvement of Higher Education Personnel (CAPES) in the Laboratories of Geoprocessing applied to Environmental Studies (LGEA) and Laboratory of Drainage and Wastewater (LabDAR). I have academic experience in the area of Geosciences, with emphasis on Geomatics and Geoprocessing, mainly working on the following topics: Cadastral Planialtimetric Survey; Photointerpretation and Vectorization for MUB Construction; Aerophotogrammetry with Drones; Digital Image Processing; Application of Georeferenced Information Systems (GIS) in: Remote Sensing and Spatial Analysis; Mesoscale Meteorology; Natural Disasters; Analysis, Monitoring and Environmental Mapping.

Daniela Buske, Universidade Federal de Pelotas

The author holds a degree in Full Degree Mathematics from the Federal University of Santa Maria (1999), a master’s and doctorate in Mechanical Engineering from the Federal University of Rio Grande do Sul (2004;2008) in the area of Transport Phenomena / Pollutant Dispersion and a post-doctorate from the Federal University of Rio Grande do Sul (2011) in the area of Nuclear Engineering. The author completed a doctoral internship in Italy at the “Istituto Di Scienze Dell’atmosfera e Del Clima Di Bologna”, ISAC/CNR of Bologna. Currently, the author is an associate professor at the Federal University of Pelotas. The author participates in the Graduate Program in Mathematical Modeling and the Graduate Program in Environmental Sciences at UFPel. The author has experience in the area of Geosciences and Applied Mathematics, with emphasis on Applied Mathematics / Atmospheric Physics / Transport Phenomena, mainly working on the following topics: pollutant dispersion, mathematical modeling, physics of the atmospheric boundary layer, air pollution, analytical/semi-analytical solutions, integral transforms, heat and mass transfer. On the GDISPEN laboratory page, some of the research that has been developed by the author and the research group team are described: https://wp.ufpel.edu.br/fentransporte/

Diuliana Leandro, Universidade Federal de Pelotas

The author is a professor from the Center of Engineering at the Federal University of Pelotas (UFPel), currently coordinates the Environmental and Sanitary Engineering Course, and is a permanent member of the Postgraduate Program in Environmental Sciences (PPGCAmb-UFPel). She was a professor of the Higher Magisterium Group of the Geomatics Department at the Federal University of Paraná (UFPR) from 2011 until June 2014. She holds a doctorate in Geodetic Sciences from the Federal University of Paraná. She has a master’s degree in Geodetic Sciences from the Federal University of Paraná (2009), graduated in Cartographic Engineering from the Federal University of Paraná (2006) and has experience in the area of Geosciences, with emphasis on Geodetic Sciences, mainly working on the following topics: GPS, multipath, GPS Positioning, Remote Sensing, environmental monitoring, environmental fragility and vulnerability, natural disasters, resilience to extreme events, environmental mapping. Her prolific work is not limited to research, as she is involved in extension activities of great relevance, collaborating with public agencies to promote tangible impacts on society

Andrea Souza Castro, Universidade Federal de Pelotas

The author holds a degree in Agricultural Engineering from the Federal University of Pelotas (2001) and a master’s degree in Water Resources and Environmental Sanitation from the Federal University of Rio Grande do Sul (2005). The author also holds a doctorate in Water Resources and Environmental Sanitation from the Federal University of Rio Grande do Sul (2011). Currently, the author is an Associate Professor at the Center for Engineering (CEng) at the Federal University of Pelotas (UFPel). The author is a permanent member of the Postgraduate Program in Environmental Sciences (PPGCAmb-UFPel). The author has experience in the area of Environmental and Sanitary Engineering, Environmental Sciences, mainly working on the following topics: drainage, surface runoff, source control structures, permeable pavements, green roofs, and environmental management.

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Zirbes, E. R. et al. (2022). Análise Temporal dos Índices de Impermeabilização Urbana em Loteamentos no Município de Pelotas - RS. Anais do XXXI Congresso de Iniciação Científica – 8ª SIIEPE, Pelotas, Brasil.

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Published

2024-11-04

How to Cite

Zirbes, E. R., Buske, D., Leandro, D., & Castro, A. S. (2024). Accuracy estimates of land use and land cover classification are associated with the sensitivity of the MAXVER classifier and the holdout subsampling technique on allotments in Pelotas-RS. Ciência E Natura, 46(esp. 1), e87230. https://doi.org/10.5902/2179460X87230

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Special Edition 1

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