ANÁLISE DA VEGETAÇÃO RIPÁRIA EM BACIA HIDROGRÁFICA UTILIZANDO ÍNDICE DE VEGETAÇÃO NORMALIZADA (NDVI) NO MUNICÍPIO DE MARINGÁ-PR / ANALYSIS OF RIPARIAN VEGETATION IN A WATERSHED USING NDVI INDEX IN MARINGA-PR
DOI:
https://doi.org/10.12957/geouerj.2017.26737Keywords:
Digital image processing, landsat 8, atmospheric factors.Abstract
doi: 10.12957/geouerj.2017.26737
The Normalized Difference Vegetation Index (NDVI) is obtained from satellite digital image processing, based on different reflectances that plants emit in different solar radiation. The aim of this study was the comparative analysis of different NDVI values found in riparian vegetation of a watershed, located in Maringá-PR, from different periods of 2015. The satellite images were obtained from the United States Geological Survey, being the Landsat 8 scene 223-076 used. The NDVI was calculated in QGIS 2.8.8. In the areas closest to the rivers, was verified the highest NDVI values, which may be related to water availability and size of vegetation. The data, along with the Kruskal-Wallis and similarity tests indicated higher similarity between the months of the summer - autumn, and winter - spring. There was no clear relation between the behavior of the variation of NDVI with precipitation, evapotranspiration and average temperature; however, this may be explained by the delay between the canopy to environmental changes. Such behavior could be understood with a longer data period, thus, the use of historical series is suggested for future works.Downloads
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Published
2017-12-30
How to Cite
QUESADA, Heloise Beatriz; REDONDO, Guilherme; GIMENES VERNASQUI, Lais; JANDREICE MAGNONI, Pedro Henrique; ARANTES, Eudes José. ANÁLISE DA VEGETAÇÃO RIPÁRIA EM BACIA HIDROGRÁFICA UTILIZANDO ÍNDICE DE VEGETAÇÃO NORMALIZADA (NDVI) NO MUNICÍPIO DE MARINGÁ-PR / ANALYSIS OF RIPARIAN VEGETATION IN A WATERSHED USING NDVI INDEX IN MARINGA-PR. Geo UERJ, Rio de Janeiro, n. 31, p. 439–455, 2017. DOI: 10.12957/geouerj.2017.26737. Disponível em: https://www.e-publicacoes.uerj.br/geouerj/article/view/26737. Acesso em: 9 may. 2025.
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