Application of Remote Sensing to the analysis of changes in high-altitude vegetation of the ‘Pantanal’ (Brazil) using multitemporal Landsat data

Authors

DOI:

https://doi.org/10.5212/TerraPlural.v.17.2321497.003

Keywords:

Mountainous vegetation, Natural habitats, Conservation, Ecosystem monitoring

Abstract

Due to the cold climate and altitude, to identify trends in the dynamic vegetation and the main factors that contribute to changes in vegetation cover in grassland areas is essential to understand climate change in mountainous regions. Landsat-8 OLI and Landsat-1 MSS images from 1973 to 2022 of Morraria do Urucum and Serra do Amolar were pre-processed in the GEE cloud platform and QGIS. The resampling method per pixel in the scale of values defined for vegetation Campos de Altitude was used to show changes in vegetation cover and its dynamics through the NDVI index. In both study areas, a continuous trend of significant reduction of vegetation in highland grasslands was observed over 50 years. The average decrease was 49% for Urucum (less 2,164 hectares) and 43% for Amolar (less 3,959 hectares). The use of GHG to obtain remote sensing data combined with temporal image analysis offers the potential to quickly perceive trends in large- and small-scale vegetation cover change.

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Author Biographies

Dhonatan Diego Pessi, Universidade Federal de Mato Grosso do Sul, UFMS, Campo Grande, MS, Brasil

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Normandes Matos da Silva, Universidade Federal de Rondonópolis, UFR, Rondonópolis, MT, Brasil

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Camila Leonardo Mioto, Universidade Federal de Rondonópolis, UFR, Rondonópolis, MT, Brasil

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Domingos Sávio Barbosa, Universidade Federal de Rondonópolis, UFR, Rondonópolis, MT, Brasil

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Rodrigo Martins Moreira, Universidade Federal de Rondônia, UNIR, Porto Velho, RO, Brasil

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Mateus Antonio Gums Gomes, Universidade Federal de Rondônia, UNIR, Porto Velho, RO, Brasil

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Alfredo Marcelo Grigio, Universidade do Estado do Rio Grande do Norte, UERN, Natal, RN, Brasil

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Vinicius de Oliveira Ribeiro, Universidade Estadual de Mato Grosso do Sul, UEMS, Dourados, MS, Brasil

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Marco Antonio Diodato, Universidade Federal Rural do Semi-Árido, UFERSA, Mossoró, RN, Brasil

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Antonio Conceição Paranhos Filho, Universidade Federal de Mato Grosso do Sul, UFMS, Campo Grande, MS, Brasil

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Published

2023-05-29

How to Cite

PESSI, D. D.; SILVA, N. M. da .; MIOTO, C. L.; BARBOSA, D. S.; MOREIRA, R. M.; GUMS GOMES, M. A.; GRIGIO, A. M.; RIBEIRO, V. de O.; DIODATO, M. A.; PARANHOS FILHO, A. C. Application of Remote Sensing to the analysis of changes in high-altitude vegetation of the ‘Pantanal’ (Brazil) using multitemporal Landsat data. Terr@ Plural, [S. l.], v. 17, p. e2321497, 2023. DOI: 10.5212/TerraPlural.v.17.2321497.003. Disponível em: https://revistas.uepg.br/index.php/tp/article/view/21497. Acesso em: 8 apr. 2025.

Issue

Vol. 17 (2023)

Section

Articles

License

Copyright (c) 2023 Dhonatan Diego Pessi, Normandes Matos da Silva, Camila Leonardo Mioto, Domingos Sávio Barbosa, Rodrigo Martins Moreira, Mateus Antonio Gums Gomes, Alfredo Marcelo Grigio, Vinicius de Oliveira Ribeiro, Marco Antonio Diodato, Antonio Conceição Paranhos Filho

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