Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1041272
Unidade da Embrapa/Coleção:: Embrapa Café - Artigo em anais de congresso (ALICE)
Data do documento: 17-Mar-2016
Tipo do Material: Artigo em anais de congresso (ALICE)
Autoria: HOTT, M. C.
CARVALHO, L. M. T. de
ANTUNES, M. A. H.
ALVES, H. M. R.
ROCHA, W. S. D. da
Informaçães Adicionais: MARCOS CICARINI HOTT, CNPGL; LUÍS MARCELO TAVARES DE CARVALHO, UFLA/DCF; MAURO ANTONIO HOMEM ANTUNES, UFRRJ/DENG; HELENA MARIA RAMOS ALVES, SAPC; WADSON SEBASTIAO DUARTE DA ROCHA, CNPGL.
Título: Estimativa de expoentes de Hurst para séries temporais de imagens NDVI / MODIS em regiões de pastagens da Zona da Mata de Minas Gerais.
Edição: 2015
Fonte/Imprenta: In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 4065-4072 , 2015
Idioma: pt_BR
Palavras-chave: Serie temporal
Hurst exponents
Expoentes de hurst
Conteúdo: The Zona da Mata region in Minas Gerais State is configured in a traditional dairy production chain, whose grasslands have subtle dynamics in their phenology, and currently there is a strong concern regarding degradation and vegetative development trends. The Hurst exponents (H) are a potential tool to describe the evolution scale of time series, sensitive to short- and long-term memory. This study was aimed at developing an algorithm in the GIS that presents reliable results of the Hurst exponents for NDVI from MODIS imagery, using binary blocks method applied to R/S analysis (range rescaled) in the Gretl, an econometrics and time series software. We produced H values identical to those estimated H for time series of pixels extracted from the satellite imagery dataset, processed in the Gretl. In order to estimate and evaluate the area of occurrence of the H exponents classes for imagery over time, we performed a processing highlighting the slightly trend of low sustainability of grasslands (H class 0.52 to 0.65), with 833,768 ha (68.71%), and moderate sustainability or persistence (H class 0.65 to 0.70), with 162,068 ha. We emphasized the fact that the estimated class between 0.37 and 0.52 resulted in a considerable area of grasslands, with about 135,000 ha, possibly indicating that this region faces remarkable changes, such as degradation, crop rotation, fallow or others land use changes. Despite the long processing time to estimate H, we highlight the usefulness of this methodology for detection of change trends in the short- and long-term periods.
Thesagro: Pastagem
NAL Thesaurus: Grasslands
Moderate resolution imaging spectroradiometer
Ano de Publicação: 2015
Aparece nas coleções:Artigo em anais de congresso (SAPC)

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