Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118582
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dc.contributor.authorHOTT, M. C.eng
dc.contributor.authorCARVALHO, L. M. T.eng
dc.contributor.authorANTURNES, M. A. H.eng
dc.contributor.authorRESENDE, J. C. deeng
dc.contributor.authorROCHA, W. S. D. daeng
dc.date.accessioned2020-01-13T18:14:41Z-
dc.date.available2020-01-13T18:14:41Z-
dc.date.created2020-01-10
dc.date.issued2019
dc.identifier.citationRemote Sensing, v. 11, n. 24, article 2956, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1118582-
dc.descriptionThere 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.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectTime serieseng
dc.subjectNDVIeng
dc.subjectPhenological metricseng
dc.titleAnalysis of grassland degradation in Zona da Mata, MG, Brazil, based on NDVI time series data with the integration of phenological metrics.eng
dc.typeArtigo de periódicoeng
dc.date.updated2020-01-13T18:14:41Z
dc.subject.nalthesaurusRemote sensingeng
dc.subject.nalthesaurusDegradationeng
dc.subject.nalthesaurusGrasslandseng
riaa.ainfo.id1118582eng
riaa.ainfo.lastupdate2020-01-13
dc.identifier.doihttps://doi.org/10.3390/rs11242956eng
dc.contributor.institutionMARCOS CICARINI HOTT, CNPGL; Luis M. T. Carvalho; Mauro A. H. Antunes; JOAO CESAR DE RESENDE, CNPGL; WADSON SEBASTIAO DUARTE DA ROCHA, CNPGL.eng
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