@InProceedings{PerrottaASBCSRB:2009:NoArAM,
               author = "Perrotta, M{\^o}nica Mazzini and Almeida, Teodoro Isnard Ribeiro 
                         de and Souza Filho, Carlos Roberto de and Bahia, Ruy Benedito 
                         Calliari and Costa, Ulisses Antonio Pinheiro da and Splendor, 
                         Fabio and Reis, Nelson Joaquim and Betiollo, Leandro Menezes",
          affiliation = "{CPRM - Servi{\c{c}}o Geol{\'o}gico do Brasil/DF} and {Instituto 
                         de Geoci{\^e}ncias - USP/SP} and {Instituto de Geoci{\^e}ncias - 
                         UNICAMP/SP} and {CPRM - Servi{\c{c}}o Geol{\'o}gico do 
                         Brasil/DF} and {CPRM - Servi{\c{c}}o Geol{\'o}gico do Brasil/DF} 
                         and {CPRM - Servi{\c{c}}o Geol{\'o}gico do Brasil/DF} and {CPRM 
                         - Servi{\c{c}}o Geol{\'o}gico do Brasil/DF} and {CPRM - 
                         Servi{\c{c}}o Geol{\'o}gico do Brasil/DF}",
                title = "Geobot{\^a}nica por sensoriamento remoto como ferramenta de 
                         mapeamento geol{\'o}gico em {\'a}reas de floresta 
                         amaz{\^o}nica, uma aplica{\c{c}}{\~a}o na regi{\~a}o de 
                         Apu{\'{\i}} - Nova Aripuan{\~a} (AM)",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3293--3300",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "multispectral remote sensing, geobotany, geology, ASTER sensor, 
                         sensoriamento remoto multiespectral, geobot{\^a}nica, geologia, 
                         floresta tropical, sensor ASTER.",
             abstract = "This paper evaluates a geobotany enhancement technique applied to 
                         multispectral VNIR and SWIR data from ASTER imagery. The aim is to 
                         map the geology of a virtually inaccessible area, covered by 
                         tropical rainforest, and for which no airborne geophysical data 
                         are available. The technique is based on the premise that the 
                         vegetation characteristics and distribution are influenced by the 
                         underlying bedrock, and its spectral response can reveal the 
                         lithologic arrangement. The technique is straightforward and 
                         comprises band ratios using a fixed near infrared band on the 
                         numerator and individual visible and shortwave infrared bands on 
                         the denominator. These band ratios were subsequently submitted to 
                         principal component analysis (PCA) in order to segregate noise, to 
                         decorrelate possible redundant information and to concentrate the 
                         information of interest into some specific principal components. 
                         The high frequency information produced was smoothed by low pass 
                         filtering. Statistical analysis of PCA results and visual check of 
                         the filtered components individually (and in false colour 
                         composites) allowed the selection of the best RGB triplets. These 
                         were sharpened by the first principal component of the original 
                         VNIR ASTER bands through an IHS transform, in order to add 
                         albedo/texture information - lost through band rationing - back to 
                         the imagery. The interpretation of the products shows a plausible 
                         coherence with field observations and existing small-scale maps, 
                         demonstrating that the proposed processing strategy can provide 
                         useful geologic information in inaccessible vegetated areas.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.16.09.54",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.16.09.54",
           targetfile = "3293-3300.pdf",
                 type = "Geologia",
        urlaccessdate = "30 abr. 2024"
}