Caracterização de Fitofisionomias Urbanas Usando NDVI em Imagens de Satélite e Software Livre

• Main Authors: Ariadne Barbosa Gonçalves, Raquel de Faria Godoi, Antonio Conceição Paranhos Filho, Marcelo Theophilo Folhes, Hemerson Pistori
• Format: Article
• Language: English
• Published: Universidade Federal do Rio de Janeiro 2018-12-01
• Series: Anuário do Instituto de Geociências
• Subjects: Remote sensing; Urban modelling; Landsat 8; Rapideye
• Online Access: http://www.anuario.igeo.ufrj.br/2018_03/2018_3_24_36.pdf
• ISSN: 0101-9759; 1982-3908

These paper reports applications using satellite images to the identification of vegetation types in the Campo Grande city. This identification allows studies of urban vegetation, palynology and environmental changes. Images from Landsat 8 and Rapideye satellites from the Campo Grande urban area were used. A soil coverage map was done for each one of the seven sub-regions. The Normalized Difference Vegetation Index was applied. In addition, a field survey was carried out to confirm the vegetation types sites through satellite images. Satellite images and in situ data validation allowed the distinction of the following features: water, urban structure, herbaceous, open and dense vegetation. For the identification of urban vegetation, Rapideye images were the most suitable for this type of study. The Rapideye satellite sensor detected 6.55% more dense vegetation area than Landsat 8 images.