Examining the relationship between the Enhanced Vegetation Index and grapevine phenology

Fraga, Hélder; Amraoui, Malik; Malheiro, Aureliano C.; Moutinho-Pereira, José; Eiras-Dias, José Eduardo; Silvestre, José; Santos, João A.

doi:10.5721/eujrs20144743

Cited by 45 publications

(23 citation statements)

References 49 publications

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“…NDVI takes into account the difference between near-infrared and red reflectances, providing a measure of vegetation greenness, where higher NDVI corresponds to higher vegetation greenness (Holm et al, 1987;Roderick et al, 1996;Huete et al, 2002). Applied to viticulture, spectral vegetation indices may assist management activities (Johnson et al, 2003;Fraga et al, 2014a) and have shown links to production and wine attributes (Johnson et al, 2001;Usha and Singh, 2013). In the present study, NDVI from the Moderate Resolution Imaging Spectroradiometer (MODIS) is obtained from the National Aeronautics and Space Administration (NASA) Land Processes Distributed Active Archive Center (LP DAAC; https://lpdaac.usgs.gov/).…”

Section: Terroir Elementsmentioning

confidence: 99%

Multivariate clustering of viticultural terroirs in the Douro winemaking region

Fraga

Costa

Santos

2017

Ciência Téc. Vitiv.

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SUMMARYThe Douro Demarcated Region (DDR) is one of the most important winemaking regions in Portugal. Viticulture is historically and culturally tied to the DDR, having a strong impact on the local economy. This mountainous region, characterized by the steep slopes of the Douro Valley, provides a wide range of environmental characteristics for grapevine growth. Different climatic conditions, soil profiles, topography, grapevine varieties and management practices comprise the DDR terroir, resulting in the distinctiveness of the wines produced. In the present study, an assessment of the homogeneous zones of interest for viticultural activities is proposed for the DDR, by integrating different terroir elements (thermal, hydric, soils, topography and vegetation), using state-of-the-art high resolution datasets (1 km) and a large number of variables/indices. A multivariate zoning was carried out using a principal component analysis and a subsequent clustering methodology. A geospatial assessment of the terroir elements was also performed separately for each type of vegetation covering the DDR. The inter-connections of the different terroir elements that exist at a given location, were also innovatively assessed. The zoning may promote a more appropriate selection of vineyard sites, the selection of more locally-adapted varieties and rootstocks and the adoption of appropriate viticultural practices and management planning. After assessing the terroir conditions that exist at the current vineyard locations, possible expansion zones within the DDR were also evaluated. The present study may also be used as an archetypal methodology that can be applied to other winemaking regions worldwide. RESUMOA Região Demarcada do Douro (RDD) é uma das regiões vitivinícolas mais importantes de Portugal. A viticultura está historicamente e culturalmente ligada à RDD, tendo uma importância vital para a economia local. Esta região montanhosa, caracterizada pelas encostas íngremes do vale do Douro, proporciona uma ampla gama de características edafoclimáticas para o crescimento da vinha. Diferentes condições climáticas, perfis de solo, topografia, castas e práticas culturais fazem parte do terroir da RDD, resultando no carácter distintivo dos vinhos aí produzidos. No presente estudo, propõe-se uma avaliação de zonas homogéneas com interesse para as atividades vitivinícolas na RDD, integrando diferentes elementos do terroir (térmico, hídrico, solos, topografia e vegetação), utilizando-se conjuntos de dados de alta resolução (1 km) e um elevado número de variáveis/índices. Foi realizada uma zonagem multivariada com recurso à análise em componentes principais e a uma metodologia de clustering. A avaliação geoespacial dos elementos do terroir foi também realizada separadamente para cada tipo de vegetação existente na RDD. As interconexões entre os diferentes elementos do terroir de um determinado local também foram avaliadas de forma inovadora. Esta zonagem poderá potenciar uma seleção mais adequada de áreas vitícolas, a seleção de castas e p...

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Section: Terroir Elementsmentioning

confidence: 99%

Multivariate clustering of viticultural terroirs in the Douro winemaking region

Fraga

Costa

Santos

2017

Ciência Téc. Vitiv.

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“…C1 and C2 are coefficients and L is the canopy background brightness correction factor, and G is the Gain factor (Frag et al, 2014;Matsushita et al, 2007).…”

Section: -Enhanced Vegetation Index (Evi)mentioning

confidence: 99%

Determination of Effective Indices in the Drought Monitoring Through Analysis of Satellite Images

Parviz¹

2016

AgricultForest

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SUMMARYThe aim of this research was to determine the effective drought indices such as NDVI, VCI, EVI, TVX, VTCI, VHI, TCI and NVSWI based on some criteria. The satellite-based drought indices have different data from vegetation and temperature conditions. Linear and trend analysis showed that satellite-based drought indices based on vegetation condition were not more efficient indices such as NDVI and VCI. It can be said that the indices with combination of vegetation and temperature condition have more efficiency. A good agreement was observed among drought indices and precipitation in the arid and semi-arid climatic regions. Application of NDVI, VCI and EVI was limited for real time drought monitoring. Investigation the topographic effect on drought indices indicated that VTCI and NDVI had maximum impressed from height variations. The synthesized drought indices based on effective indices led to better performance. Drought indices investigation using different criteria indicated the high performance of NVSWI, TCI, VHI and TVX. The indices have high correlation with each other. Therefore, using one of them is suitable for drought monitoring.

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“…For the Portuguese Douro/Porto region, Real et al (2014) also demonstrated their reliability on monitoring phenology, despite the need for local calibrations. For the Lisbon region, Malheiro et al (2013) and Fraga et al (2014a) applied a linear regression models to show that phenological timings are deeply tied to air temperatures and remote sensing indices. Many other studies assessing relationships between air temperature, remote sensing indices and grapevine phenology have been conducted worldwide (Williams et al, 1985;Chuine et al, 2003;de Cortazar-Atauri et al, 2009;Caffarra and Eccel, 2010;Bock et al, 2011;Cunha and Richter, 2012;Fila et al, 2012;Parker et al, 2013;Rodrigues et al, 2013).…”

Section: Statistical Crop Modelsmentioning

confidence: 99%

Application of crop modelling to portuguese viticulture: implementation and added-values for strategic planning

Costa

Fraga

Malheiro

et al. 2015

Ciência Téc. Vitiv.

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SUMMARYGrapevine (Vitis vinifera L.) is a very important crop in Portugal, where the viticultural sector plays a central role in the national economy. The present study provides a review of most relevant research on grapevine modelling, giving particular emphasis to its past and future applicability to Portuguese conditions. A brief overview of the national sector, as well as of the prevailing physical and biological environments and viticultural practices is provided. Further, the terroir concept is discussed in view of the main controlling factors of grapevine development. Several crop models, either statistical or dynamic, that have reliably simulated grapevine/vineyard parameters, such as phenology, yield and quality, are referred. Statistical models are based on statistically significant relationships between a number of predictors and a given grapevine parameter. Dynamic crop models simulate plant growth and development and holistically integrate crop phenotype, soil profiles, weather and climate data and management practices in their simulations. Dynamic crop models are then becoming important decision support systems in viticulture. Additionally, they allow testing the effects of soils, management decisions and weather on crops. However, only a few dynamic models can properly simulate grapevine performance. Several studies also apply crop models under future conditions to assess the detrimental climate change impacts on grapevines. These crop models can be either applied to real-time monitoring and short-range predictions or to develop long-term climate change projections for the Portuguese viticulture. These studies will represent important added-values for the competitiveness and future sustainability of the winemaking sector in Portugal. RESUMOA videira (Vitis vinifera L.) é uma cultura de grande relevo em Portugal, onde o sector vitivinícola desempenha um papel central na economia nacional. O presente estudo fornece uma revisão de pesquisas mais relevantes sobre a modelação da videira, dando especial ênfase à sua aplicabilidade às condições específicas portuguesas. É dada uma visão sucinta do sector nacional, bem como das condições físicas, biológicas e práticas vitivinícolas predominantes. O conceito de terroir é discutido tendo em conta os principais fatores condicionantes do desenvolvimento da videira. São referidos vários modelos de culturas, estatísticos e dinâmicos, que têm simulado com sucesso as características da videira/vinha, fenologia, produtividade e qualidade. Os modelos estatísticos são baseados em relações estatisticamente significativas entre um número de preditores e uma determinada característica da videira. Os modelos dinâmicos simulam o crescimento e desenvolvimento da planta de forma holística, integrando nas suas simulações o fenótipo da cultura, perfis de solo, dados meteorológicos e práticas culturais. Por este motivo, os modelos dinâmicos estão a tornar-se importantes sistemas de apoio à decisão em viticultura. Além disso, permitem prever os efeitos do solo, das práticas cul...

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Examining the relationship between the Enhanced Vegetation Index and grapevine phenology

Cited by 45 publications

References 49 publications

Multivariate clustering of viticultural terroirs in the Douro winemaking region

Multivariate clustering of viticultural terroirs in the Douro winemaking region

Determination of Effective Indices in the Drought Monitoring Through Analysis of Satellite Images

Application of crop modelling to portuguese viticulture: implementation and added-values for strategic planning

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