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Evaluation of vegetation indexes NDVI, SR and TVI in the discrimination of vegetation types of environments of 'Pantanal' in Caceres, Mato Grosso State/Avaliacao dos indices de vegetacao NDVI, SR e TVI na discriminated de Fitofisionomias dos ambientes do Pantanal de Caceres/Mt
Ist Teil von
Ciência florestal, 2014-07, Vol.24 (3), p.707
Ort / Verlag
Universidade Federal de Santa Maria
Erscheinungsjahr
2014
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
This paper compares the performance of some vegetation indexes: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) e Transformed Vegetation Index (TVI), applied in seasonal periods to verify which one best fits to discriminate the vegetation types of environments of 'Pantanal' in Caceres, Mato Grosso state, Brazil, in Landsat TM 5 image of 2009 in the dry period and 2010 in the humid period. Result verification of indexes images showed that NDVI provide a better performance than the SR and TVI indexes for different environments. Keywords: remote sensing; SIG; image digital processing; Pantanal Mato-grossense. Este artigo faz uma comparacao dos indices de vegetacao Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) e Transformed Vegetation Index (TVI), na discriminacao das fitofisionomias de tres ambientes do Pantanal de Caceres, Mato Grosso, considerando a sazonalidade (periodos seco e umido). As imagens utilizadas foram as do satelite Landsat TM 5, do ano de 2009 (periodo seco) e de 2010 (periodo umido). As analises mostraram que o NDVI apresentou melhor desempenho em relacao ao SR e TVI para os diferentes ambientes. Palavras-chave: sensoriamento remoto; SIG; processamento digital de imagens; Pantanal Mato-grossense.