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@Article{Ferreira-FerreiraSSAFFVQN:2015:CoALDe,
               author = "Ferreira-Ferreira, Jefferson and Silva, Thiago Sanna Freire and 
                         Streher, Annia Susin and Affonso, Adriana Gomes and Furtado, Luiz 
                         Felipe de Almeida and Forsberg, Bruce Rider and Valsecchi, 
                         Jo{\~a}o and Queiroz, Helder Lima and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes",
          affiliation = "{Instituto de Desenvolvimento Sustent{\'a}vel Mamirau{\'a}} and 
                         {Universidade Estadual Paulista (UNESP)} and {Instituto de 
                         Desenvolvimento Sustent{\'a}vel Mamirau{\'a}} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         da Amaz{\^o}nia (INPA)} and {Instituto de Desenvolvimento 
                         Sustent{\'a}vel Mamirau{\'a}} and {Instituto de Desenvolvimento 
                         Sustent{\'a}vel Mamirau{\'a}} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Combining ALOS/PALSAR derived vegetation structure and inundation 
                         patterns to characterize major vegetation types in the 
                         Mamirau{\'a} Sustainable Development Reserve, Central Amazon 
                         floodplain, Brazil",
              journal = "Wetlands Ecology and Management",
                 year = "2015",
               volume = "231",
               number = "1",
                pages = "41--59",
                month = "Feb.",
                 note = "{Setores de Atividade: Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico.}",
             keywords = "Wetlands, SAR images, Amazon region.",
             abstract = "Remote sensing studies of vegetation cover and hydrologic dynamics 
                         in Amazonian wetlands have been mostly limited temporally or 
                         spatially, and the distribution and spatial configuration of 
                         Amazonian va´rzea habitats remains poorly known. This study uses 
                         multitemporal PALSAR L-band radar imagery combined with 
                         object-based image analysis, data mining techniques and field data 
                         to derive vegetation structure and inundation patterns and 
                         characterize major vegetation types in va´rzea forests of the 
                         Mamirau{\'a} Sustainable Development Reserve. Our results show 
                         that the combination of vegetation cover and inundation extent 
                         information can be a good indicator of the complex gradient of 
                         habitats along the floodplain. The intersection between vegetation 
                         and flood duration classes showed a wider range of combinations 
                         than suggested from field based studies. Chavascal areas 
                         chacaracterized as a dense and species-poor shrub/tree community 
                         developing in old depressions, abandoned channels, and shallow 
                         lakes had shorter inundation periods than the usually recognized 
                         hydroperiod of 180240 days of flooding, while low v{\'a}rzea a 
                         diverse community that have fewest and smallest species, and 
                         highest individual density and that tolerate 120180 days of 
                         flooding every year was distributed between flood duration ranges 
                         that were higher than reported by the literature. Forest 
                         communities growing at sites that were never mapped as flooded 
                         could indicate areas that only flood during extreme hydrological 
                         events, for short periods of time. Our results emphasize the 
                         potential contribution of SAR remote sensing to the monitoring and 
                         management of wetland environments, providing not only accurate 
                         information on spatial landscape configuration and vegetation 
                         distribution, but also important insights on the ecohydrological 
                         processes that ultimately determine the distribution of complex 
                         floodplain habitat mosaics.",
                  doi = "10.1007/s11273-014-9359-1",
                  url = "http://dx.doi.org/10.1007/s11273-014-9359-1",
                 issn = "0923-4861",
                label = "lattes: 9857505876280820 9 Ferreira-FerreiraSSAAFVQM:2014:CoALDe",
             language = "en",
        urlaccessdate = "26 nov. 2020"
}


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