@Article{EvansCostTelmSilv:2010:UsALRA,
               author = "Evans, Teresa L. and Costa, Maycira and Telmer, Kevin and Silva, 
                         Thiago S. F.",
          affiliation = "Univ Victoria, Dept Geog, Victoria, BC V8P 5C2 Canada and Univ 
                         Victoria, Dept Geog, Victoria, BC V8P 5C2 Canada and Univ 
                         Victoria, Sch Earth \& Ocean Sci, Victoria, BC V8P 5C2 Canada and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Using ALOS/PALSAR and RADARSAT-2 to Map Land Cover and Seasonal 
                         Inundation in the Brazilian Pantanal",
              journal = "IEEE Journal of Selected Topics in Applied Earth Observations and 
                         Remote Sensing",
                 year = "2010",
               volume = "3",
               number = "4",
                pages = "560--575",
                month = "Dec.",
             keywords = "ALOS/PALSAR, flooding dynamics, habitat mapping, K\&C initiative, 
                         Pantanal, RADARSAT-2, SYNTHETIC-APERTURE RADAR, AMAZON FLOODPLAIN, 
                         NHECOLANDIA SUBREGION, VEGETATION, WETLAND, IMAGERY, 
                         CLASSIFICATION, CONSERVATION, BIODIVERSITY, LAKES.",
             abstract = "The Brazilian Pantanal is a large continuous tropical wetland with 
                         large biodiversity and many threatened habitats. The interplay 
                         between the distribution of vegetation, the hydrology, the climate 
                         and the geomorphology nourishes and sustains the large diversity 
                         of flora and fauna in this wetland, but it is poorly understood at 
                         the scale of the entire Pantanal. This study uses multi-temporal 
                         L-band ALOS/PALSAR and C-band RADARSAT-2 data to map ecosystems 
                         and create spatial-temporal maps of flood dynamics in the 
                         Brazilian Pantanal. First, an understanding of the backscattering 
                         characteristics of floodable and non-floodable habitats was 
                         developed. Second, a Level 1 object-based image analysis (OBIA) 
                         classification defining Forest, Savanna, Grasslands/Agriculture, 
                         Aquatic Vegetation and Open Water cover types was achieved with 
                         accuracy results of 81%. A Level 2 classification separating 
                         Flooded from Non-Flooded regions for five temporal periods over 
                         one year was also accomplished, showing the interannual 
                         variability among sub-regions in the Pantanal. Cross-sensor, 
                         multi-temporal SAR data was found to be useful in mapping both 
                         land cover and flood patterns in wetland areas. The generated maps 
                         will be a valuable asset for defining habitats required to 
                         conserve the Pantanal biodiversity and to mitigate the impacts of 
                         human development in the region.",
                  doi = "10.1109/JSTARS.2010.2089042",
                  url = "http://dx.doi.org/10.1109/JSTARS.2010.2089042",
                 issn = "1939-1404",
             language = "en",
           targetfile = "05623305.pdf",
        urlaccessdate = "17 maio 2024"
}