@InProceedings{MontanherSouz:2011:GeAlPr,
               author = "Montanher, Ot{\'a}vio Cristiano and Souza Filho, Edvard Elias 
                         de",
          affiliation = "{Universidade Estadual de Maring{\'a} - UEM/GEMA} and 
                         {Universidade Estadual de Maring{\'a} - UEM/GEMA}",
                title = "Gera{\c{c}}{\~a}o de algoritmos para predi{\c{c}}{\~a}o de 
                         carga em suspens{\~a}o em corpos h{\'{\i}}dricos da bacia 
                         hidrogr{\'a}fica do Rio Paran{\'a} com uso de imagens Landsat 
                         TM5",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5340--5347",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, water quality monitoring, 6S atmospheric 
                         corretion, suspended sediments, sensoriamento remoto, 
                         monitoramento da qualidade da {\'a}gua, corre{\c{c}}{\~a}o 
                         atmosf{\'e}rica 6S, sedimentos em suspens{\~a}o.",
             abstract = "The dynamics of limnological features of water bodies are 
                         essential in evaluating these systems, because they represent 
                         physicochemical and biological characteristics of a given 
                         condition. Remote sensing techniques can provide spatial and 
                         temporal data concerning these environmental variables in a 
                         shorter time and at a lower cost. This paper aims to make 
                         algorithms for suspended sediment load prediction from 
                         multi-temporal Landsat TM5 digital data at different sample 
                         places. RBF from atmospherically corrected TM digital data were 
                         extracted from 19 images at 13 sample places. The relationships 
                         found show that although the database include large temporal 
                         interval (1985 2009) and different sample places, it is possible 
                         to define patterns of behavioral characteristics of each large set 
                         of active optical components. Two classes of active optical 
                         components were defined: predominance of inorganic sediments and 
                         chlorophyll together with inorganic sediments. Statistical tests 
                         were realized for elaboration of mathematical models to enable the 
                         prediction of total suspended sediment in Landsat 5 path without 
                         field samples. Nevertheless these relationships will be useful 
                         only in similar limnological conditions of inorganic sediments and 
                         trophic state. In Paran{\'a} River basin, these algorithms may 
                         allow the retrieval of a large amount of limnological data on 
                         rivers, reservoirs and floodplains from previous years.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A5HTEL",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A5HTEL",
           targetfile = "p0172.pdf",
                 type = "Hidrologia e Recursos H{\'{\i}}dricos",
        urlaccessdate = "20 maio 2024"
}