@InProceedings{JaconGalvSantSano:2017:EsBiFi,
               author = "Jacon, Aline Daniele and Galv{\~a}o, L{\^e}nio Soares and 
                         Santos, Jo{\~a}o Roberto dos and Sano, Edson Eyji",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estimativa de biomassa em fitofisionomias do Cerrado usando dados 
                         do sensor Hyperion e regress{\~a}o por m{\'{\i}}nimos quadrados 
                         parciais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2255--2262",
         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 = "Estimation of aboveground biomass (AGB) is challenging in large 
                         and complex areas such as the Brazilian Cerrado, which requires 
                         improved approaches to achieve the necessary accuracy. The 
                         development and launch of orbital hyperspectral sensors provide an 
                         opportunity to estimate the AGB using a number of metrics derived 
                         from these images. As a preparatory study for future hyperspectral 
                         missions, the AGB was estimated from the Hyperion images obtained 
                         by the Earth Observing-1 (EO-1) platform over the Ecological 
                         Station of {\'A}guas Emendadas, in central Brazil. We tested four 
                         groups of attributes with the partial least squares regression 
                         (PLSR): 146 spectral bands; 22 vegetation indices; 10,585 band 
                         ratios; and 24 absorption band parameters. We developed specific 
                         AGB/PLSR models for each group of attributes and tested a general 
                         model. The results showed a better performance with the use of all 
                         groups of spectral attributes in the general model (R2 = 0.66, 
                         RMSE = 6.60 t.ha-1) than with the use of each set of attributes. 
                         These values were comparable to those observed from the 
                         AGB-derived band ratio model (R2 = 0.65, RMSE = 6.63 t.ha-1). The 
                         Hyperion data allowed combination of different hyperspectral 
                         attributes in the AGB modeling. This may contribute for developing 
                         future works in the Cerrado ecosystem with the next generation of 
                         orbital hyperspectral sensors such as the Environmental Mapping 
                         and Analysis (EnMAP) and Hyperspectral Infrared Imager (HyspIRI), 
                         with much better signal-to-noise and larger swath width than the 
                         Hyperion.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59257",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQ8T",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQ8T",
           targetfile = "59257.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "27 abr. 2024"
}