@InProceedings{GalloDemaNettSato:2017:TeArCa,
               author = "Gallo, Bruna Cristina and Dematt{\^e}, Jos{\'e} Alexandre Melo 
                         and Netto, Camila Ferreira and Sato, Marcus Vinicius",
                title = "Teor de argila da camada superficial do solo via sat{\'e}lite",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6819--6826",
         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 = "Brazil and the world need to use soils appropriately and there are 
                         no pedological or soil attributes maps on a semi-detailed and 
                         detailed scale suitable for proper management, according to 
                         necessity of agriculture. Traditional soil mappings are expensive 
                         and time-consuming. In order to map large areas in short time it 
                         is necessary to use technology, hence, remote sensing technique in 
                         orbital platforms are promising. Thus, it is expected that 
                         spectral characteristics of bare soil surface obtained from 
                         Landsat TM sensor have positive relation with soil texture. This 
                         work aims to generated a predicted model to quantify clay based on 
                         bare soil spectral reflectance obtained from Landsat TM image and 
                         granulometric soil analysis collect at the field. Pre-existing 
                         maps, such as the pedological map (SCALE 1:100.000) and geological 
                         map (SCALE 1:250.000) were used for validate the spectral data, as 
                         well as the samples collected in the field. The results show that 
                         the bare soil map obtained from Landsat were efficient and 
                         suitable for modeling soil surface clay. The soil surface clay 
                         model present good performance reaching R2 of 0.68 and RPD>2.0. 
                         Therefore, the clay map has shown to be appropriate to refine soil 
                         map survey and improve pedological and geological studies.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60132",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDJN",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDJN",
           targetfile = "60132.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}