@InProceedings{SilvaFerr:2005:EfDeRe,
               author = "Silva, Eristelma Teixeira de Jesus Barbosa and Ferreira, Laerte 
                         Guimar{\~a}es",
          affiliation = "{Universidade de Bras{\'{\i}}lia (UnB). Instituto de 
                         Geoci{\^e}ncias (IG).} and {Universidade Federal de Goi{\'a}s 
                         (UFG)}",
                title = "Efeito da degrada{\c{c}}{\~a}o da resolu{\c{c}}{\~a}o 
                         radiom{\'e}trica em imagens {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o MODIS e implica{\c{c}}{\~o}es para a 
                         detec{\c{c}}{\~a}o de mudan{\c{c}}as na cobertura vegetal do 
                         bioma Cerrado",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "3333--3340",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "sensor MODIS, sensoriamento remoto, resolu{\c{c}}{\~a}o 
                         radiom{\'e}trica.",
             abstract = "The need of initiatives for implementing operational and automatic 
                         monitoring sytema in the Cerrado biome is becoming critical 
                         because of the conversion of more than 50% of its natural 
                         vegetation into land use classes. An alternative for such systems 
                         can be the use of MODIS vegetation {\'{\i}}ndices. In order to 
                         facilitate the data processing of MODIS data that originally come 
                         from 16 bits, many users use to convert 8 bits. However, there are 
                         few research analyzing the influence of such conversion, 
                         especially in the change detection studies. This work investigated 
                         the effects of the radiometric resolution degradation in the 
                         potential of the Cerrado´s deforestation detection. The test sites 
                         were the Brasilia National Park (BNP), an area with great 
                         representation of Cerrado vegetation and the Emas National Park 
                         (ENP), an more homogeneous preserved area. We analyzed the EVI 
                         (Enhanced Vegetation Index) images with spatial resolution of 250 
                         meters (MOD13Q1), tiles h13v10 and h12v10, and overpasses from 
                         July, 2001 and July, 2003. The results showed significant changes 
                         as function of radiometric resolution degradation. In the BNP, we 
                         found a difference of 108 hectares when the images were degraded 
                         from 16 to 8 bits, with a limiar of 0,20. In ENP, we found a 
                         difference of 7,523 hectares for the same limiar. The results 
                         showed that the changes in parameters such as radiometric 
                         resolution can affect operational and automatic monitoring systems 
                         significantly because of high amount of comission errors that are 
                         generated. These influences were stronger for more homogeneous 
                         study areas.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.20.16.02",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.16.02",
           targetfile = "3333.pdf",
                 type = "Monitoramento e Modelagem Ambiental",
        urlaccessdate = "09 maio 2024"
}