@InProceedings{FranceschiniDeTeArSoVi:2013:QuAtFí,
               author = "Franceschini, Marston H{\'e}racles Domingues and Dematt{\^e}, 
                         Jos{\'e} Alexandre Melo and Terra, Fabr{\'{\i}}cio da Silva and 
                         Ara{\'u}jo, Suzana Romeiro and Souza Filho, Carlos Roberto de and 
                         Vicente, Luiz Eduardo",
                title = "Quantifica{\c{c}}{\~a}o de atributos 
                         f{\'{\i}}sico-qu{\'{\i}}micos do solo atrav{\'e}s de dados 
                         espectrais (Vis-NIR-SWIR) obtidos em laborat{\'o}rio e por imagem 
                         a{\'e}rea hiperespectral",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "530--538",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The fertility assessment is essential to assure appropriate soil 
                         management and to perform a competitive and sustainable 
                         agricultural production. The soil sampling and analysis are the 
                         traditional instruments to determine physical, chemical and 
                         mineralogical soil attributes. However, to get information enough 
                         to mapping the soil variability its necessary high amounts of 
                         laboratorial analysis, which bring high costs, its time demanding 
                         and produces potentially polluting waste. The correlation of the 
                         soil attributes and the electromagnetic energy reflected by the 
                         soil can be an option to depict the soil attributes in a rapid and 
                         not destructive way. In the last years several authors have 
                         obtained promising results in the prediction of soil 
                         physical-chemical variability through the soil spectral behavior 
                         in the visible, proximal infrared and short wave infrared 
                         (Vis-NIR-SWIR, 350-2500nm) coupled with mathematical methods like 
                         Partial Least Squares Regression (PLSR). In this sense it was 
                         evaluated the use of different spectral information sources on the 
                         quantification of soil attributes. For that, the sensor FieldSpec 
                         Pro (ASD Inc., USA) at the laboratory level and images obtained by 
                         the hyperespectral airborne sensor ProSpecTIR V-S (SpecTIR LLC, 
                         USA) were employed, both devices collecting data on the 
                         Vis-NIR-SWIR. Better results were obtained with the laboratory 
                         sensor, but some satisfactory predictions were obtained with the 
                         airborne data proven the potential of this information source in 
                         the assessment of soil properties.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1546",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GM3H",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GM3H",
           targetfile = "p1546.pdf",
                 type = "Agricultura",
        urlaccessdate = "03 maio 2024"
}