@InProceedings{KreimeierCateFogaBoei:2017:EsReDi,
               author = "Kreimeier, Luiza Manti{\c{c}}a and Caten, Alexandre ten and 
                         Foga{\c{c}}a, Geisy Bahls and Boeing, Evandro Loch",
                title = "Espectroscopia de reflect{\^a}ncia difusa para determinar a 
                         mat{\'e}ria org{\^a}nica do solo",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2392--2399",
         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 = "Diffuse reflectance spectroscopy, a technique of proximal soil 
                         sensing, has been used to quantify physical and chemical soil 
                         attributes. Spectral signatures are generated from the 
                         electromagnetic energy reflected from the ground, being able to 
                         reflect or absorb energy. Latosols, Cambisols, Nitosols and 
                         Neosols are classes of soils of greater occurrence in the 
                         region.The aim of this study was to evaluate a spectroradiometer 
                         of lower cost, FieldSpec HandHeld II (ASD Inc.), operating in the 
                         spectrum range of 325-1075nm for prediction of soil organic matter 
                         (SOM). A total of 539 soil samples were collected in the Marombas 
                         river watershed in a mountainous plateau in the state of Santa 
                         Catarina, Brazil. Spectral analyzes were performed in a controlled 
                         environment, collected spectral signatures were processed with The 
                         Unscrambler X 10.3 software and R programing language. Modeling 
                         was performed with PLSR technique (partial least squares 
                         regression) where 377 samples (70%) were used for calibration and 
                         162 samples (30%) for validation. The validation model has 
                         achieved a Rē of 0.45 and RMSE of 0.87 % for SOM prediction. The 
                         mean standard error presented a high value (%), but even so, it 
                         was verified that a lower cost spectroradiometer has potential for 
                         soil attribute prediction, nevertheless further studies have to be 
                         conducted specially regarding preprocessing of the soil spectral 
                         signatures.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59620",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQG9",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQG9",
           targetfile = "59620.pdf",
                 type = "Radiometria e sensores",
        urlaccessdate = "27 abr. 2024"
}