Remote Sensing data use inmonitoring of deterioration of vegetable coveragec ounty Garanhuns-PE

• Autor(a) principal: Lima, Carlos Eduardo Santos de
• Data de Publicação: 2015
• Outros Autores: Gomes, Daniel Dantas Moreira, Morais, Rafael Dantas de, Costa, Samuel Othon de Souza, Santos, Ezequiel de Melo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)
• Texto Completo: https://periodicos.ufsm.br/reget/article/view/15550
• topic: Análise Comparativa; Sensoriamento Remoto; Vegetação; NDVI.

This research aimed to make a multi-temporal analysis of vegetation cover in the municipality of Garanhuns-PE, in times dating back to 1990, 2000 and 2010, showing the gradual removal of vegetation for pastures and urban expansion, for this analysis was taken as parameters calculations NDVI-(Index Normalized Difference Vegetation) are spectral transformations, resulting remote sensing TM / LANDSAT 5 in ArcGis 10.2.2 computing environment. The NDVI images were classified into four classes, they are: dense vegetation, sparse vegetation, undergrowth and no vegetation, through this classification was possible to quantify the degraded areas of vegetation cover classified as dense vegetation, dense vegetation in 1990 corresponded to an area of 26.9406 Km², and a percentage of 6%, in 2010 the dense vegetation decreased by 6%, getting only 0% of its dense vegetation, corresponding to an area of 2,052 km², the class named as sparse vegetation, had in 1990 an area of 297.9594 Km², corresponding to a percentage of 65%, since the last year of analysis these numbers increase to an area of 355,7592Km², corresponding to 78%.