Temporal profiles of vegetation indices for characterizing grazing intensity on natural grasslands in Pampa biome

Junges, Amanda Heemann; Bremm, Carolina; Fontana, Denise Cybis; Oliveira, Carlos Alberto Oliveira de; Schaparini, Laura Pigatto; Carvalho, Paulo César de Faccio

doi:10.1590/0103-9016-2015-0213

Cited by 18 publications

(15 citation statements)

References 13 publications

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“…Ground-based remote sensing has emerged as an important source of data collected in the field in real time. In Brazil, temporal NDVI profiles, obtained by orbital or ground-based remote sensing, have been widely used to monitor biomes (Kuplich;Moreira;Fontana, 2013, Wagner et al, 2013Junges et al, 2016) and characterize vegetation growth in annual crops Fontana, 2011, Bredemeier et al, 2013Fontana et al, 2015;Klering et al, 2016;Pinto et al, 2016). However, the use of precision agriculture technologies applied to perennial crops is incipient in the country (Bassoi et al, 2014), with few studies published on the monitoring of fruit crop cycle using remote sensing techniques.…”

Section: Junges a H Et Almentioning

confidence: 99%

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

et al. 2017

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The normalized difference vegetation index (NDVI) obtained by remote sensing is widely used to monitor annual crops but few studies have investigated its use in perennial fruit crops. The aim of this study was to determine the temporal NDVI profile during grapevine cycle in vineyards established in horizontal training systems. NDVI data were obtained by the ground-based remote sensing Greenseeker in Chardonnay and Cabernet Sauvignon vineyards located in the Serra Gaúcha region, Rio Grande do Sul, Brazil, from September to June in the 2014/2015 and 2015/2016 vegetative seasons. The grapevine canopies were managed in horizontal training systems (T-trellis and Y-trellis).The results indicated that the temporal NDVI values varied during the grapevine cycle (0.33 to 0.85), reflecting the changing in vigor and biomass accumulation that resulted from the phenological stages and management practices. The temporal NDVI profiles were similar to both horizontal training systems. The NDVI values were higher throughout the cycle for Cabernet Sauvignon compared to Chardonnay indicating Cabernet Sauvignon as the cultivar with greater vegetative vigor. The NDVI obtained by ground-based remote sensing is a fast and non-destructive tool to monitor and characterize the canopy in real time, compiling into a single data several parameters related to vine development, like meteorological conditions and management practices that are difficult to be quantified together.Index terms: Vitis vinifera; Greenseeker; precision viticulture. RESUMOO índice de vegetação por diferença normalizada (NDVI), obtido por sensoriamento remoto, tem sido amplamente empregado no monitoramento de culturas agrícolas produtoras de grãos, porém poucos são os estudos em fruticultura. O objetivo deste trabalho foi caracterizar a evolução temporal do NDVI obtido por sensor remoto de superfície ao longo do ciclo de videiras em sistemas horizontais de condução do dossel vegetativo. Dados de NDVI foram obtidos com sensor remoto Greenseeker em vinhedos na região da Serra Gaúcha, Rio Grande do Sul, Brasil, de setembro a junho nas safras 2014/2015 e 2015/2016. Os vinhedos das cultivares Chardonnay e Cabernet Sauvignon eram conduzidos em sistema horizontal (latada e lira). Os resultados indicaram que houve variabilidade temporal do NDVI ao longo do ciclo (de 0,33 a 0,85), a qual refletiu as alterações no acúmulo de biomassa e vigor vegetativo decorrentes das principais etapas fenológicas e práticas de manejo. A evolução temporal do NDVI foi semelhante nos sistemas latada e lira, ambos caracterizados pela condução horizontal do dossel vegetativo. Os valores de NDVI para 'Cabernet Sauvignon' foram superiores aos de 'Chardonnay' ao longo do ciclo, independe da safra avaliada e do sistema de condução, indicando 'Cabernet Sauvignon' como a cultivar de maior vigor vegetativo. O NDVI, obtido por sensor remoto de superfície, é uma forma rápida e não destrutiva de monitoramento e caracterização do dossel vegetativo em tempo real, compilando em uma única informação o dese...

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Section: Junges a H Et Almentioning

confidence: 99%

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

et al. 2017

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“…Conversely, the reduction in air temperature in autumn and winter is associated with the lowest values of EVI (~0.37) ( Figure 2A). This pattern characterizes the phenology of the grassland vegetation in the entire Rio Grande do Sul state, Brazil, (Scottá & Fonseca, 2015;Junges et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…The use of vegetation indices (EVI -Enhanced Vegetation Index and NDVI -Normalized Difference Vegetation Index) and their relationship with climate variability and large-scale events such as El Niño and La Niña (Zhang et al, 2006;Paruelo, 2008;Hermance et al, 2015) stand out, but with the definition only of the phases of start and end of growth and vegetative peak. This is also observed in the studies addressing the grassland vegetation in Southern Brazil, especially the Pampa biome (Wagner et al, 2013;Scottá & Fonseca, 2015;Junges et al, 2016). Most of the studies conducted do not use a methodology capable of covering different spatial scales and that allow spatial-temporal analyses in a continuous manner and of different phenological metrics, providing information about the vegetation pattern in response to changes occurring on the terrestrial surface, by anthropic influence, natural phenological influences or climatic variability.…”

Section: Introductionmentioning

confidence: 99%

Phenological metrics of the grassland vegetation of Rio Grande do Sul, Brazil

Moreira

Fontana

Kuplich

et al. 2019

Rev. bras. eng. agríc. ambient.

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Considering that plant phenology studies allow establishing relationships between phenological patterns of vegetation and changes caused by climate variability, the aim of this study was to obtain phenological metrics for the predominant grassland typologies in Rio Grande do Sul State, Brazil (latitudes 27º 05’ and 33º 45’ S and longitudes 49° 43’ and 57º 39’ W) and to evaluate the spatial-temporal distribution pattern of these metrics under the influence of the subtropical climate variability. The phenological metrics were obtained based on the time series of the EVI (Enhanced Vegetation Index), of the sensor MODIS (Moderate Resolution Imaging Spectroradiometer), for the period from 2001 to 2014, through the Timesat program. Eleven phenological metrics were extracted, identifying the presence of two spatial distribution patterns of grass-dominated typologies in the Rio Grande do Sul state, Brazil, one located in the south-central region and the other located in the northeast, along the coast and in the western portion of the state. In addition, it was also observed that the phenological pattern of the grassland vegetation of the state of Rio Grande do Sul, Brazil, is controlled by the seasonality of vegetation, mainly associated with the variations in air temperature.

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“…Total annual precipitation is 1,455 mm -monthly to tals are between 102 mm (Mar) and 154 mm (June). Average monthly temperatures vary from 13 °C (July) to 24 °C (Jan) (Junges et al, 2016).…”

Section: Seasonal Dynamics Of Grasslandmentioning

confidence: 99%

“…These data indicate the importance of monitoring the remaining areas, which can be accomplished with the use of spectral vegetation index data. Research studies have already addressed the spatio-temporal dynamic of the southern grassland vegetation and its relationship to climate variability (Scottá and Fonseca, 2015;Junges et al, 2016). However, there is a lack of research aimed at identifying and characterizing patterns of seasonal variation in the southern grasslands of Brazil.…”

Section: Introductionmentioning

confidence: 99%

Seasonal dynamics of vegetation indices as a criterion for grouping grassland typologies

Moreira

Bremm

Fontana

et al. 2019

Sci. agric. (Piracicaba, Braz.)

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This study aimed to characterize the average seasonal pattern of the vegetation in southern grassland in Brazil, and the variability found in the time series of vegetation indices. It also sought to identify similarities in the seasonal pattern of different grassland typologies. Moderate Resolution Imaging Spectroradiometer (MODIS), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images from Feb to Dec, 2000 to 2014 were analyzed for ten regions. The grassland typologies studied showed EVI and NDVI profiles consistent with the seasonal dynamics of grassland vegetation under the influence of a subtropical climate, with highest values in the indices during the warm seasons of the year (spring and summer) and lowest in the colder seasons (autumn and winter). Considering the values of EVI and NDVI, grassland typologies were allocated to four groups with similar temporal profiles. Among the groups formed from the EVI index it is possible to identify differences between grassland typologies during the autumn and winter, while the NDVI showed differences only in winter as compared to the other seasons.

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Temporal profiles of vegetation indices for characterizing grazing intensity on natural grasslands in Pampa biome

Cited by 18 publications

References 13 publications

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

Phenological metrics of the grassland vegetation of Rio Grande do Sul, Brazil

Seasonal dynamics of vegetation indices as a criterion for grouping grassland typologies

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