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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
19/03/1997 |
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Data da última atualização: |
19/03/1997 |
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Autoria: |
VILLARINHO, A. L.; CARVALHO JUNIOR, O. A.; CARVALHO, A. P. F.; MADEIRA NETO, J. S. |
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Título: |
Elaboracao dos mapas de limitacao ao uso agricola no municipio de Silvania (GO) atraves de um sistema de informacao geograficas. |
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Ano de publicação: |
1996 |
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Fonte/Imprenta: |
In: CONGRESSO DE ECOLOGIA DO BRASIL, 3., 1996, Brasilia. Manejo de ecossistemas e mudancas globais: resumos. Brasilia: UnB, 1996. |
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Páginas: |
p.449-450. |
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Idioma: |
Português |
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Palavras-Chave: |
Brasil; Goias; Silvania. |
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Thesagro: |
Aptidão Agrícola; Cerrado; Classificação do Solo; Mapa. |
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Thesaurus Nal: |
Brazil; cartography; land suitability; soil classification. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00915naa a2200289 a 4500
001 1552411
005 1997-03-19
008 1996 bl uuuu u00u1 u #d
100 1 $aVILLARINHO, A. L.
245 $aElaboracao dos mapas de limitacao ao uso agricola no municipio de Silvania (GO) atraves de um sistema de informacao geograficas.
260 $c1996
300 $ap.449-450.
650 $aBrazil
650 $acartography
650 $aland suitability
650 $asoil classification
650 $aAptidão Agrícola
650 $aCerrado
650 $aClassificação do Solo
650 $aMapa
653 $aBrasil
653 $aGoias
653 $aSilvania
700 1 $aCARVALHO JUNIOR, O. A.
700 1 $aCARVALHO, A. P. F.
700 1 $aMADEIRA NETO, J. S.
773 $tIn: CONGRESSO DE ECOLOGIA DO BRASIL, 3., 1996, Brasilia. Manejo de ecossistemas e mudancas globais: resumos. Brasilia: UnB, 1996.
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Registro original: |
Embrapa Cerrados (CPAC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
10/01/2020 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
HOTT, M. C.; CARVALHO, L. M. T.; ANTURNES, M. A. H.; RESENDE, J. C. de; ROCHA, W. S. D. da. |
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Afiliação: |
MARCOS CICARINI HOTT, CNPGL; Luis M. T. Carvalho; Mauro A. H. Antunes; JOAO CESAR DE RESENDE, CNPGL; WADSON SEBASTIAO DUARTE DA ROCHA, CNPGL. |
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Título: |
Analysis of grassland degradation in Zona da Mata, MG, Brazil, based on NDVI time series data with the integration of phenological metrics. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Remote Sensing, v. 11, n. 24, article 2956, 2019. |
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DOI: |
https://doi.org/10.3390/rs11242956 |
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Idioma: |
Inglês |
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Conteúdo: |
There is currently a lot of interest in determining the state of Brazilian grasslands. Governmental actions and programs have recently been implemented for grassland recovery in Brazilian states, with the aim of improving production systems and socioeconomic indicators. The aim of this study is to evaluate the vegetative growth, temporal vigor, and long-term scenarios for the grasslands in Zona da Mata, Minas Gerais State, Brazil, by integrating phenological metrics. We used metrics derived from the normalized difference vegetation index (NDVI) time series from moderate resolution imaging spectroradiometer (MODIS) data, which were analyzed in a geographic information system (GIS), using multicriteria analysis, the analytical hierarchy process, and a simplified expert system (ESS). These temporal metrics, i.e., the growth index (GI) for 16-day periods during the growing season; the slope; and the maximum, minimum, and mean for the time series, were integrated to investigate the grassland vegetation conditions and degradation level. The temporal vegetative vigor was successfully described using the rescaled range (R/S statistic) and the Hurst exponent, which, together with the metrics estimated for the full time series, imagery, and field observations, indicated areas undergoing degradation or areas that were inadequately managed (approximately 61.5%). Time series analysis revealed that most grasslands showed low or moderate vegetative vigor over time with long-term persistence due to farming practices associated with burning and overgrazing. A small part of the grasslands showed high and sustainable plant densities (approximately 8.5%). A map legend for grassland management guidelines was developed using the proposed method with remote sensing data, which were applied using GIS software and a field campaign. MenosThere is currently a lot of interest in determining the state of Brazilian grasslands. Governmental actions and programs have recently been implemented for grassland recovery in Brazilian states, with the aim of improving production systems and socioeconomic indicators. The aim of this study is to evaluate the vegetative growth, temporal vigor, and long-term scenarios for the grasslands in Zona da Mata, Minas Gerais State, Brazil, by integrating phenological metrics. We used metrics derived from the normalized difference vegetation index (NDVI) time series from moderate resolution imaging spectroradiometer (MODIS) data, which were analyzed in a geographic information system (GIS), using multicriteria analysis, the analytical hierarchy process, and a simplified expert system (ESS). These temporal metrics, i.e., the growth index (GI) for 16-day periods during the growing season; the slope; and the maximum, minimum, and mean for the time series, were integrated to investigate the grassland vegetation conditions and degradation level. The temporal vegetative vigor was successfully described using the rescaled range (R/S statistic) and the Hurst exponent, which, together with the metrics estimated for the full time series, imagery, and field observations, indicated areas undergoing degradation or areas that were inadequately managed (approximately 61.5%). Time series analysis revealed that most grasslands showed low or moderate vegetative vigor over time with long-term persistenc... Mostrar Tudo |
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Palavras-Chave: |
NDVI; Phenological metrics; Time series. |
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Thesaurus NAL: |
Degradation; Grasslands; Remote sensing. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208582/1/Analysis-of-Grassland-Degradation-in-Zona-da-Mata-.pdf
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Marc: |
LEADER 02638naa a2200253 a 4500
001 2118582
005 2024-02-06
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs11242956$2DOI
100 1 $aHOTT, M. C.
245 $aAnalysis of grassland degradation in Zona da Mata, MG, Brazil, based on NDVI time series data with the integration of phenological metrics.$h[electronic resource]
260 $c2019
520 $aThere is currently a lot of interest in determining the state of Brazilian grasslands. Governmental actions and programs have recently been implemented for grassland recovery in Brazilian states, with the aim of improving production systems and socioeconomic indicators. The aim of this study is to evaluate the vegetative growth, temporal vigor, and long-term scenarios for the grasslands in Zona da Mata, Minas Gerais State, Brazil, by integrating phenological metrics. We used metrics derived from the normalized difference vegetation index (NDVI) time series from moderate resolution imaging spectroradiometer (MODIS) data, which were analyzed in a geographic information system (GIS), using multicriteria analysis, the analytical hierarchy process, and a simplified expert system (ESS). These temporal metrics, i.e., the growth index (GI) for 16-day periods during the growing season; the slope; and the maximum, minimum, and mean for the time series, were integrated to investigate the grassland vegetation conditions and degradation level. The temporal vegetative vigor was successfully described using the rescaled range (R/S statistic) and the Hurst exponent, which, together with the metrics estimated for the full time series, imagery, and field observations, indicated areas undergoing degradation or areas that were inadequately managed (approximately 61.5%). Time series analysis revealed that most grasslands showed low or moderate vegetative vigor over time with long-term persistence due to farming practices associated with burning and overgrazing. A small part of the grasslands showed high and sustainable plant densities (approximately 8.5%). A map legend for grassland management guidelines was developed using the proposed method with remote sensing data, which were applied using GIS software and a field campaign.
650 $aDegradation
650 $aGrasslands
650 $aRemote sensing
653 $aNDVI
653 $aPhenological metrics
653 $aTime series
700 1 $aCARVALHO, L. M. T.
700 1 $aANTURNES, M. A. H.
700 1 $aRESENDE, J. C. de
700 1 $aROCHA, W. S. D. da
773 $tRemote Sensing$gv. 11, n. 24, article 2956, 2019.
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