@InProceedings{MagalhaesSchiMantBort:2012:ImClUs,
               author = "Magalhaes, Tatiana Lobato De and Schimalski, Marcos Benedito and 
                         Mantovani, Adelar and Bortoluzzi, Roseli Lopes Da Costa",
                title = "Image classification using Landsat TM images for mapping wetlands 
                         vegetation (banhados) of the Catarinense Plateau, southern 
                         Brazil",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "292--297",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Remote sensing, Environmental monitoring, Minimum noise fraction 
                         (MNF), Object-oriented, Maximum Likelihood classificatory, 
                         Freshwater wetland.",
             abstract = "Wetlands embody a diversified scope of ecosystems. This 
                         environment presents a high richness of botanical species, acting 
                         as an interface between earthly and aquatic systems providing a 
                         rich biodiversity, including endangered endemic species. 
                         Catarinense Plateau, located in Southern Brazil, presents these 
                         typical wetlands, occurring in altitudes between 800 to 1600m, yet 
                         scarcely researched about its occurrence and spatial borders. They 
                         occur in small and medium sized extensions, are frequent and occur 
                         intermingled to altitude meadows. This study aims to map and 
                         delimitate the occurrence of wetlands, and was realized in the 
                         Catarinense Plateau, localized in Santa Catarina State (between 
                         27°30`S, 51°00`W and 28°30` S, 49°45`W). Two methods were tested 
                         in this classification: object-based and pixel-based 
                         classification. A pixel-based image analysis supervised 
                         classification was performed using Maximum Likelihood algorithm, 
                         separating two classes of features, wetlands and non-wetlands. All 
                         Landsat Thematic Mapper (TM) image process used ENVI 4.7 and ENVI 
                         EX software. The Catarinense Plateau wetlands occur in random 
                         distribution, with small and medium sized extensions, usually 
                         between 0.5 - 5 ha. The reference intersection values are bigger 
                         in pixel-based classification, however the object-oriented 
                         classification shows better the shape correlation to reference 
                         base polygons. Wetland delimitation maps are important factors to 
                         improve the conservation and good management of the ecosystem. 
                         More studies are needed so that the delimitation and extent of 
                         these wetlands can be accurately mapped.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BSRJPS",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BSRJPS",
           targetfile = "081.pdf",
                 type = "Aquatic and Coastal Ecossystems",
        urlaccessdate = "12 maio 2024"
}