@InProceedings{CampeloTeixMoreLeão:2017:AnQuNi,
               author = "Campelo, David de Holanda and Teixeira, Adunias dos Santos and 
                         Moreira, Luis Clenio J{\'a}rio and Le{\~a}o, Raimundo 
                         Al{\'{\i}}pio de Oliveira",
                title = "An{\'a}lise quantitativa de nitrog{\^e}nio foliar na cultura do 
                         milho a partir de dados de espectroscopia de reflect{\^a}ncia",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5695--5700",
         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 = "The aim of this study was to evaluate the possibility of using 
                         reflectance spectroscopy to quantify leaf nitrogen concentration 
                         in irrigated corn. The experimental design was randomized blocks, 
                         in split plot parcels replicated four times, with the main plot 
                         composed of four levels of soil moisture solo L1=120%, L2=100%, 
                         L3=80% e L4=70% of the water requirement, based on field capacity 
                         (CC) and the subplot with four levels of nitrogen fertilization 
                         (N1= 0 kg, N2= 60 kg N3= 120 kg e N4=180 kg de N per hectare). To 
                         development of the vegetation index spectral measurements were 
                         made using the spectroradiometer FieldSpec Pro and determined to 
                         leaf nitrogen concentration. The measurements were performed in 
                         the laboratory for index calibration and in the field for 
                         validation. The index (NDSI) was obtained by linear regression 
                         between all possible normalized band ratio combinations and leaf 
                         nitrogen, where the index with the highest coefficient of 
                         determination (R²) was selected. The most promising normalized 
                         ratio was between 755 nm and 676 nm (R²= 0.704). The region 
                         located between 670 nm and 800 nm showed promise for obtaining 
                         spectral bands for N-related index formulation. Models similar to 
                         those obtained by NDSI have the potential to development of 
                         vegetation indexes that allow the quantification of nutritional 
                         status of plants from hyperspectral data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60169",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBHG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBHG",
           targetfile = "60169.pdf",
                 type = "Radiometria e sensores",
        urlaccessdate = "27 abr. 2024"
}