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| Registros recuperados : 43 | |
| 10. |  | LIMA, L. P. Z.; LOUZADA, J.; CARVALHO, L. M. T. de; SCOLFORO, J. R. S. Análise da vulnerabilidade natural para implantação de Unidades de Conservação na microrregião da Serra de Carrancas, MG. Cerne, Lavras, v. 17, n. 2, p. 151-159, abr./jun. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | MELLO, J. M. de; SCOLFORO, J. R.; CARVALHO, L. M. T. de (ed.). Inventário florestal de Minas Gerais: floresta estacional decidual: florística, estrutura, diversidade, similaridade, distribuição diamética e de altura, volumetria, tendências de crescimento e manejo florestal. Lavras: UFLA, 2008. 266 p.| Biblioteca(s): Embrapa Acre; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Cerrados; Embrapa Clima Temperado; Embrapa Florestas; Embrapa Pantanal; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Rondônia; Embrapa Semiárido. MenosEmbrapa Acre; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Cerrados; Embrapa Clima Temperado; Embrapa Florestas; Embrapa Pantanal; Embrapa Recursos Genéticos e Biotecnologia... Mostrar Todas |
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| 13. | | COELHO, G. L. N.; CARVALHO, L. M. T. de; GOMIDE, L. R. Modelagem preditiva de distribuição de espécies pioneiras no Estado de Minas Gerais. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 3, p. 207-214, mar. 2016. Título em inglês: Predictive modeling distribution of pioneer species in the state of Minas Gerais, Brazil.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 14. | | OLIVEIRA, L. M. T. de; SILVA, E.; BRITES, R. S.; SOUZA, A. L. de. Diagnostico de fragmentos florestais nativos, em nivel de paisagem, Eunapolis-BA Revista Arvore, Vicosa, v.21, n.4, p.501-510, 1997.| Biblioteca(s): Embrapa Florestas; Embrapa Semiárido. |
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| 18. | | FIGUEIREDO, E. O.; FIGUEIREDO, S. M. de M.; OLIVEIRA, L. C. de; CARVALHO, L. M. T. de. Avaliação da cobertura florestal, com auxílio de imagens Landsat, na região do encontro da Reserva do Catuaba, Rio Branco, Acre. In: CONGRESSO DE ECOLOGIA DO BRASIL, 7., 2005, Caxambu. Programa e resumos. Londrina: Universidade Estadual de Londrina, Departamento de Biologia Animal e Vegetal: Sociedade de Ecologia do Brasil, 2005. 2 p. 1 CD-ROM.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 43 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
17/03/2016 |
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Data da última atualização: |
17/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
HOTT, M. C.; CARVALHO, L. M. T. de; ANTUNES, M. A. H.; ALVES, H. M. R.; ROCHA, W. S. D. da. |
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Afiliação: |
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. |
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Título: |
Estimativa de expoentes de Hurst para séries temporais de imagens NDVI / MODIS em regiões de pastagens da Zona da Mata de Minas Gerais. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 4065-4072 , 2015 |
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Idioma: |
Português |
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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. MenosThe 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 m... Mostrar Tudo |
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Palavras-Chave: |
Expoentes de hurst; Hurst exponents; Serie temporal. |
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Thesagro: |
Pastagem. |
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Thesaurus NAL: |
Grasslands; Moderate resolution imaging spectroradiometer. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/141358/1/Estimativa-de-expoentes-de-hurst.pdf
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Marc: |
LEADER 02427nam a2200229 a 4500
001 2041272
005 2016-03-17
008 2015 bl uuuu u00u1 u #d
100 1 $aHOTT, M. C.
245 $aEstimativa de expoentes de Hurst para séries temporais de imagens NDVI / MODIS em regiões de pastagens da Zona da Mata de Minas Gerais.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 4065-4072 $c2015
520 $aThe 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.
650 $aGrasslands
650 $aModerate resolution imaging spectroradiometer
650 $aPastagem
653 $aExpoentes de hurst
653 $aHurst exponents
653 $aSerie temporal
700 1 $aCARVALHO, L. M. T. de
700 1 $aANTUNES, M. A. H.
700 1 $aALVES, H. M. R.
700 1 $aROCHA, W. S. D. da
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