ASSESSMENT OF TEXTURE FEATURES FOR BRAZILIAN SAVANNA CLASSIFICATION: A CASE STUDY IN BRASÍLIA NATIONAL PARK / Avaliação de Atributos de Textura para Classifi cação do Cerrado brasileiro: Um Estudo de Caso no Parque Nacional de Brasília

Cesare Di Girolamo Neto, Leila Maria Garcia Fonseca, Thales Sehn Körting

Resumo


Distinguishing Brazilian savanna physiognomies is an essential task to better evaluate carbon storage and potential emissions of greenhouse gases. In this study, we propose to evaluate the potential of texture features to improve the discrimination among fi ve physiognomies in the Brazilian savanna: Open Grasslands, Shrubby Grassland, Shrubby Savanna, Savanna Woodland and Gallery Forest. Texture features extracted from RapidEye images and also from Spectral Linear Mixture Model components and Vegetation Index were evaluated. Results showed that texture features based on GLCM can reduce misclassifi cation for Open Grasslands, Shrubby Grasslands and Shrubby Savanna classes.

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