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@Article{GrašaMaldSantKeiz:2015:MuAnRa,
               author = "Gra{\c{c}}a, Paulo Mauricio Lima de Alencastro and Maldonado, 
                         Francisco Dario and Santos, Jo{\~a}o Roberto dos and Keizer, E. 
                         W. H.",
          affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and 
                         {Universidad Aut{\'o}noma de Entre R{\'{\i}}os} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Greenpeace",
                title = "Multi-temporal analysis of radiometric changes in satellite images 
                         of forest edges to infer selective-logging areas in the Amazon 
                         forest [An{\'a}lise multitemporal das mudan{\c{c}}as 
                         radiom{\'e}tricas em imagens de sat{\'e}lite de bordas de 
                         foresta para inferir {\'a}reas de corte seletivo na foresta 
                         Amaz{\^o}nica]",
              journal = "Acta Amazonica",
                 year = "2015",
               volume = "45",
               number = "1",
                pages = "35--44",
             keywords = "timber exploitation, deforestation, remote sensing, forest 
                         monitoring.",
             abstract = "Radiometric changes observed in multi-temporal optical satellite 
                         images have an important role in efforts to characterize 
                         selective-logging areas. Te aim of this study was to analyze the 
                         multi-temporal behavior of spectral-mixture responses in satellite 
                         images in simulated selective-logging areas in the Amazon forest, 
                         considering red/near-infrared spectral relationships. Forest edges 
                         were used to infer the selective-logging infrastructure using 
                         differently oriented edges in the transition between forest and 
                         deforested areas in satellite images. TM/Landsat-5 images acquired 
                         at three dates with different solar-illumination geometries were 
                         used in this analysis. Te method assumed that the radiometric 
                         responses between forest with selective-logging effects and forest 
                         edges in contact with recent clear-cuts are related. Te spatial 
                         frequency attributes of red/near infrared bands for edge areas 
                         were analyzed. Analysis of dispersion diagrams showed two groups 
                         of pixels that represent selective-logging areas. Te attributes 
                         for size and radiometric distance representing these two groups 
                         were related to solar-elevation angle. Te results suggest that 
                         detection of timber exploitation areas is limited because of the 
                         complexity of the selective-logging radiometric response. Thus, 
                         the accuracy of detecting selective logging can be influenced by 
                         the solar-elevation angle at the time of image acquisition. We 
                         conclude that images with lower solar-elevation angles are less 
                         reliable for delineation of selecting logging.",
                  doi = "10.1590/1809-4392201401073",
                  url = "http://dx.doi.org/10.1590/1809-4392201401073",
                 issn = "0044-5967",
                label = "scopus 2014-11 Gra{\c{c}}aMaldSantKeiz:2014:MuAnRa",
             language = "en",
           targetfile = "Multi temporal.pdf",
        urlaccessdate = "05 dez. 2020"
}


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