IDENTIFICATION OF THE NDVI TIME SIGNATURES OF THE MAIN CHARACTERISTICS OF THE CERRADO ECOMUSEU REGION

Authors

  • Antonio Felipe Couto Júnior Universidade de Brasília – Departamento de Geografia
  • Osmar Abílio de Carvalho Júnior Universidade de Brasília – Departamento de Geografia
  • Éder de Souza Martins Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA, CPAC
  • José Imaña Encinas Universidade de Brasília – Departamento de Engenharia Florestal

DOI:

https://doi.org/10.26512/2236-56562007e39793

Keywords:

remote sensing, NDVI, temporal series, savanna, noise

Abstract

The Brazilian Savanna, known as Cerrado, is the main vegetation type in Central Brazil, covering approximately 23% of the national territory. The Cerrado is formed by a mosaic of land cover types such as grassland, shrubland and woodland, and shows a typical phenology, due to the pluviometric variation and high geobotanical dependence. Images acquired on the same area at different times represent a valuable source of information for a regular monitoring of the earth’s surface that enables to describe the land-cover evolution, vegetation phenology, among others. Thus, the scope of the paper is to identify temporal signatures of the Cerrado in the Ecomuseu do Cerrado region by image processing of MODIS time series. The adopted methodology may be subdivided into the following steps: (a) elaboration of the NDVI images cube, where the z profile corresponding to NDVI temporal signature, (b) noise elimination using the Minimum Noise Fraction (MNF), and (c) NDVI temporal signature analysis. The study concluded that the NDVI series is useful in differentiation among Cerrado vegetation types. The forest formation showed the higher NDVI values among the temporal profiles and lower variation between seasons.

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Published

2022-01-21

How to Cite

Couto Júnior, A. F. ., Abílio de Carvalho Júnior, O. ., de Souza Martins, Éder ., & Imaña Encinas, J. (2022). IDENTIFICATION OF THE NDVI TIME SIGNATURES OF THE MAIN CHARACTERISTICS OF THE CERRADO ECOMUSEU REGION . Space and Geography Journal, 10(1), 173–189. https://doi.org/10.26512/2236-56562007e39793

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