@InProceedings{SatgéFZMTPGB:2017:PrAvAc,
               author = "Satg{\'e}, Fr{\'e}d{\'e}ric Christophe and Ferreira, Alvaro 
                         Xavier and Zol{\'a}, Ramiro Pillco and Molina, Jorge and Timouk, 
                         Franck and Pinel, Sebastien Stefan Laurent and Garnier, 
                         J{\'e}r{\'e}mie and Bonnet, Marie Paule",
                title = "Primeira avalia{\c{c}}{\~a}o da acur{\'a}cia absoluta e 
                         relativa do novo ALOS DEM com base na medi{\c{c}}{\~a}o do 
                         ICESat em regi{\~a}o descoberta",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2608--2615",
         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 May 2016, a new Digital Elevation Model (DEM) called ALOS-DEM 
                         was made available by the Japan Aerospace Exploration Agency 
                         (JAXA). With a resolution of 30 m the ALOS-DEM bring valuable 
                         information over remote regions. The ALOS-DEM is assessed for the 
                         first time and over the South American Andean Plateau considering 
                         both vertical and relative accuracy. Assessment is done at both 
                         the regional scale and considering different slopes classes. A 
                         total of 160 000 ICESat altimeter points are used as reference 
                         data. For comparison the recently released SRTM-GL1 is also 
                         considered. The relative error is generally neglected in DEMs 
                         assessment due to lack of accurate reference data. Here we used a 
                         new recent methodology based on ICESat data to assess the relative 
                         error of the DEMs considering quantitative and categorical 
                         statistics. Finally, the hydrological networks derived from the 
                         DEMs are compared to a reference hydrological network derived from 
                         Google-Earth to assess DEM potentials in hydrological application. 
                         The ALOS-DEM is found to be more accurate than SRTM-GL1 
                         considering vertical accuracy, relative accuracy and hydrological 
                         application over the region.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59370",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQTB",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQTB",
           targetfile = "59370.pdf",
                 type = "Hidrologia",
        urlaccessdate = "27 abr. 2024"
}