@InProceedings{ShimabukuroAlmeKuplFrei:2006:UsLaTM,
               author = "Shimabukuro, Yosio Edemir and Almeida Filho, Raimundo and Kuplich, 
                         Tatiana M. and Freitas, Ramon M. de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Use of Landsat TM fraction images to quantify the optical and sar 
                         data relationships for land cover discrimination in the brazilian 
                         Amazonia",
            booktitle = "Proceedings...",
                 year = "2006",
               editor = "Kerle, N. Skidmore, A. K.",
                pages = "4",
         organization = "Mid-Term Symposium.",
            publisher = "ITC",
             keywords = "VEGETA{\C{C}}{\~A}O, Amaz{\^o}nia (Regi{\~a}o), fraction 
                         Image, Landsat TM, JERS-1 SAR, imagem fra{\c{c}}{\~a}o.",
             abstract = "This paper presents a comparison between L-band HH JERS-1 SAR and 
                         Landsat TM data for land cover assessment in an Amazonian test 
                         site. For this, a study area located in the south of Rondonia 
                         State, western Brazilian Amazonia, was selected. The LandsatTM 
                         data acquired on August 1st 1997 were converted to vegetation, 
                         soil, and shade fraction images, using a Linear Spectral 
                         MixingModel. These fraction images are produced to enhance 
                         different characteristics of land cover, expressed as different 
                         mixtures of afew number of image components. The JERS-1 data 
                         acquired on August 08th 1997 for this investigation were processed 
                         to standardlevel 2.1, i.e., 16 bits ground range, 3 looks and a 
                         pixel spacing of 12.5 m. To compare JERS-1 and TM fraction images, 
                         a regressionanalysis technique was used. The multiple regression 
                         analysis showed coefficient of determination (R2) of 0.86 between 
                         SAR and thefraction images. The visual inspection of JERS-1 SAR 
                         image showed the high contrast between forest (medium gray) and 
                         cleared areas(dark gray). There is a direct relationship between 
                         SAR and shade fraction images and an inverse relationship between 
                         SAR and soilfraction images. Based on these relationships, it can 
                         be pointed out the utility of SAR data as an alternative data 
                         source for land coverclassification in the Amazonian region.",
  conference-location = "Enschede, Holanda",
      conference-year = "8-11 May 2006",
           copyholder = "SID/SCD",
             language = "en",
         organisation = "International Society for Photogrammetry and Remote Sensing 
                         (ISPRS)",
           targetfile = "Shimabukuro - Use of landsat.pdf",
        urlaccessdate = "14 maio 2024"
}