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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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Registro original: |
Embrapa Café (CNPCa) |
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| Registros recuperados : 16 | |
| 3. |  | MORAES, A. G. de L.; CARVALHO, D. F. de; ANTUNES, M. A. H.; CEDDIA, M. B. Relationship between remote sensing data and field-observed interril erosion. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 3, p.332-342, mar. 2018. Título em português: Relação entre dados de sensoriamento remoto e perdas de solo em entressulcos observadas em campo.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 4. | | COSTA, E. M.; ANTUNES, M. A. H.; DEBIASI, P.; ANJOS, L. H. C. dos. Processamento de imagens RapidEye no mapeamento de uso do solo em ambiente de Mar de Morros. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 9, p. 1417-1427, set. 2016. Título em inglês: RapidEye image processing for soil use mapping in rugged landscape.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 7. | | CARVALHO, D. F. de; DURIGON, V. L.; ANTUNES, M. A. H.; ALMEIDA, W. S. de; OLIVEIRA, P. T. S. Predicting soil erosion using Rusle and NDVI time series from TM Landsat 5. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 3, p. 215-224, mar. 2014. Título em português: Predição da erosão do solo com uso da Rusle e séries temporais de NDVI do Landsat 5 TM.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 10. | | MACEDO, P. S. M.; OLIVEIRA, P. T. S.; ANTUNES, M. A. H.; DURIGON, V. L.; FIDALGO, E. C. C.; CARVALHO, D. F. de. New approach for obtaining the C-factor of RUSLE considering the seasonal effect of rainfalls on vegetation cover. International Soil and Water Conservation Research, v. 9, n. 2, p. 207-216, Jun. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Solos. |
|  |
| 11. | | HOTT, M. C.; CARVALHO, L. M. T. de; ANTUNES, M. A. H.; ALVES, H. M. R.; ROCHA, W. S. D. da. Estimativa de expoentes de Hurst para séries temporais de imagens NDVI / MODIS em regiões de pastagens da Zona da Mata de Minas Gerais. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 4065-4072 , 2015| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
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| 13. | | OLIVEIRA, L. M. T.; FRANÇA, G. B.; NICÁCIO, R. M.; ANTUNES, M. A. H.; COSTA, T. C. C.; TORRES JR. A. R.; FRANÇA, J. R. A. A study of the El Niño-Southern Oscillation influence on vegetation indices in Brazil using time series analysis from 1995 to 1999. International Journal of Remote Sensing, Basingstoke, v. 31, n. 2, p. 423-437, 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 14. | | HOTT, M. C.; CARVALHO, L. M. T. de; ANTUNES, M. A. H.; SANTOS, P. A. dos; ARANTES, T. B.; RESENDE, J. C. de; ROCHA, W. S. D. da. Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor. Pesquisa Agropecuária Brasileira, v. 51, n. 7, p. 858-868, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Gado de Leite; Embrapa Unidades Centrais. |
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| 15. | | PINHEIRO, H. S. K.; BARBOSA, T. P. R.; ANTUNES, M. A. H.; CARVALHO, D. C. de; NUMMER, A. R.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; FERNANDES-FILHO, E. I.; PEREIRA, M. G. Assessment of phytoecological variability by red-edge spectral indices and soil-landscape relationships. Remote Sensing, v. 11, n. 20, 2448, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Solos. |
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| 16. | | HOTT, M. C.; MORAS FILHO, L. O.; FONTES, M. A. L.; PEREIRA, A. A. S.; NOGUEIRA, C. de O. G.; CARVALHO, L. M. T. de; BORGES, L. A. C.; RESENDE, J. C. de; ANTUNES, M. A. H. Public Use and Landscape Analysis in the Serra da Canastra National Park, Brazil: A Geospatial Approach. Natural Resources, v. 7, p. 93-101, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 16 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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