@InProceedings{JungesAnzPerChrFon:2017:ReÍnVe,
               author = "Junges, Amanda Heemann and Anzanello, Rafael and Pertile, 
                         T{\'a}cio Luiz Sabedot and Christo, Mariane Castanho and Fontana, 
                         Denise Cybis",
                title = "Rela{\c{c}}{\~a}o entre {\'{\i}}ndice de vegeta{\c{c}}{\~a}o 
                         obtido por sensor remoto ativo de superf{\'{\i}}cie e a 
                         {\'a}rea foliar em vinhedos da regi{\~a}o da Serra Ga{\'u}cha, 
                         Rio Grande do Sul, Brasil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1916--1922",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "In vineyards, leaf area is essential for quality grapes 
                         production, however there are few methods to quantify this 
                         variable in the cycle. Remote sensors can provide information 
                         about the vegetation development. The aim of this study was to 
                         establish the relationship between the Normalized Difference 
                         Vegetation Index (NDVI), obtained by ground-based remote sensor, 
                         with the vine leaf area in the Serra Gaucha region, Rio Grande do 
                         Sul, Brazil. For this, 20 plants in two ''Chardonnay'' vineyards 
                         were monitored (September 2015 to May 2016) in Veran{\'o}polis. 
                         NDVI data were obtained with active ground-based remote sensor 
                         Greenseeker positioned above the canopy. Vine leaf area was 
                         estimated by non-destructive method based on linear measures of 
                         leaf blade. The relationship between NDVI and number of leaves per 
                         branches, leaf area (cm2), total plant leaf area (m2) and leaf 
                         area index (LAI) was established through regression models. The 
                         NDVI profiles indicated temporal variability of the vegetation 
                         index in the cycle (of 0.47 to 0.81), consistent with the leaf 
                         area variability in the vineyards due the phenology and management 
                         (pruning). NDVI was positive and non-linear correlated with the 
                         number of leaves per branches (R2 = 0.74), total plant leaf area 
                         (R2 = 0.63) and IAF (R2 = 0.54). The results indicate that NDVI 
                         can be use to monitoring and estimate vine leaf area. Greenseeker 
                         is a practical, objective and friendly remote sensor for a 
                         non-destructive measurement of leaf area in Chardonnay 
                         vineyards.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59573",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLPK8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPK8",
           targetfile = "59573.pdf",
                 type = "Monitoramento agr{\'{\i}}cola",
        urlaccessdate = "27 abr. 2024"
}