ANALYSIS OF THE PHENOLOGY DYNAMICS OF BRAZILIAN CAATINGA SPECIES WITH NDVI TIME SERIES

Claudionor Ribeiro da Silva, Sérgio Luís Dias Machado, Aracy Alves de Araújo, Carlos Alberto Matias de Abreu Junior
2018 Cerne  
MACHADO, S. L. D.; ARAÚJO, A. A.; ABREU JUNIOR, C. A. M. Analysis of the phenology dynamics of brazilian caatinga species with NDVI time series. CERNE, v. 24, n. 1, p. 48-58, 2018. HIGHLIGHTS The generation of time series of NDVI and Surface temperature generated from digital images (Landsat) that are available for free; To present a detailed study about the Caatinga, which goes through a period of serious environmental degradation; Promote prediction of vegetative behavior in at least one
more » ... to subsidize the public and private bodies responsible for preserving this Biome in actions and decision-making; Provide another study on the Caatinga, which is a biome that still lacks detailed studies. ABSTRACT In Brazil there are six well-defined biomes and the Caatinga represents 9.92% of the total area. This biome is exclusively Brazilian and very rich in biodiversity. Because it has low resistance to human interference is necessary to know the important factors in monitoring the biome. Vegetation coverage and climate are two of these factors, as they indicate the intensity of human activity and the wear caused with time. Normalized Difference Vegetation Index (NDVI) has been recently explored in the description of tree phenology. In this study we sought to associate NDVI/Landsat values to a climatic variable (phenomena El-Nino and La-Nina -NINONINA) in order to describe the phenological behavior of the Caatinga in the Parque Nacional da Serra das Capivaras in the state of Piauí/Brazil. A time series analysis was carried out, describing the intrinsic parameters of the series (Seasonality and Trends), the forecast of NDVI values using SARIMA model and co-integration between NDVI and NINONINA series. The results showed that the NDVI series presents seasonally, but does not exhibit a trend. The forecasting process presenting relatively low error at a 95% confidence interval. Finally, it was observed that the NDVI series is co-integrated with the NINONINA series. v.24 n.1 2018 49 CERNE SILVA et al.
doi:10.1590/01047760201824012487 fatcat:rs64afcrnbhmdnxe4eajufjuku