ASSESSMENT OF TEXTURE FEATURES FOR BRAZILIAN SAVANNA CLASSIFICATION: A CASE STUDY IN BRASÍLIA NATIONAL PARK

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

doi:10.14393/rbcv69n5-44002

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Published: May 13, 2017

DOI: https://doi.org/10.14393/rbcv69n5-44002

Cesare Di Girolamo Neto

Instituto Nacional de Pesquisas Espaciais - INPE

Leila Maria Garcia Fonseca

Instituto Nacional de Pesquisas Espaciais - INPE

Thales Sehn Körting

Instituto Nacional de Pesquisas Espaciais - INPE

Abstract

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 ï¬ 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 misclassiï¬ cation for Open Grasslands, Shrubby Grasslands and Shrubby Savanna classes.

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How to Cite

GIROLAMO NETO, C. D.; FONSECA, L. M. G.; KÖRTING, T. S. ASSESSMENT OF TEXTURE FEATURES FOR BRAZILIAN SAVANNA CLASSIFICATION: A CASE STUDY IN BRASÍLIA NATIONAL PARK. Brazilian Journal of Cartography, [S. l.], v. 69, n. 5, 2017. DOI: 10.14393/rbcv69n5-44002. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44002. Acesso em: 25 nov. 2024.

Issue

Vol. 69 No. 5 (2017): Special Issue – GEOINFO 2016

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Artigos

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