SPECTRAL-TEMPORAL PROFILE ANALYSIS OF MAIZE, SOYBEAN AND SUGARCANE BASED ON OLI/LANDSAT-8 DATA

Abstract: Remote sensing (RS) technology is a viable complementary alternative to current agriculture surveying methods. RS data spectral information is the main variable used for several purposes, such as crop type identification. However, different management practices (MP) adopted in crop cultivation may alter its spectral characteristics. The objective of this work is to analyze the spectral-temporal profile (STP) variation of soybean, maize and sugarcane cultivated under different MP. We used time series of the six spectral bands of the OLI/Landsat-8 sensor and of two vegetation indexes (VI) to investigate the intraspecific variation (same crop specie) and the interspecific variation (different crop species). We applied hierarchical cluster analyses to determine the crop´s STP variation. The bands results were more efficient than the VI. This shows that despite the widely use of VI, better results are retrieved when using the bands STP, which also allows differentiating and analyzing crops cultivated under different MP. k-- Resumo: Dados de sensoriamento remoto sao uma alternativa complementar aos metodos atuais de levantamento agricola. A informacao espectral dos dados de sensoriamento remoto e a principal variavel utilizada para diversos propositos como, por exemplo, a identificacao do tipo de cultura. Porem, diferentes metodos de manejo (MM) adotados durante o cultivo podem alterar as caracteristicas espectrais das culturas. Assim, o objetivo deste trabalho e analisar a variacao do perfil espectro-temporal (PET) da soja, do milho e da cana-de-acucar cultivadas com diferentes MM. Series temporais de seis bandas espectrais do sensor OLI/Landsat-8 e dois indices de vegetacao (IV) foram utilizados para analisar as variacoes intraespecificas (mesma cultura) e interespecificas (diferentes culturas). Para determinar as variacoes entre os PET das culturas, foi utilizado analises hierarquicas de clusters. Os resultados das analises baseadas nas bandas foram mais eficientes dos que as baseadas nos IV, apesar do amplo uso destes ultimos.