@InProceedings{ChavesSaLiMoNoNo:2009:ClImCB,
               author = "Chaves, Mahelvson Bazilio and Santos, Juciela Cristina dos and 
                         Lima, Jonathan Ten{\'o}rio de and Moreira Filho, J{\'u}lio 
                         C{\'e}sar Cotrim and Nobre, Rosane Cunha Maia and Nobre, Manoel 
                         de Melo Maia",
          affiliation = "{Universidade Federal de Alagoas – UFAL} and {Universidade Federal 
                         de Alagoas – UFAL} and {Universidade Federal de Alagoas – UFAL} 
                         and {Universidade Federal de Alagoas – UFAL} and {Universidade 
                         Federal de Alagoas – UFAL} and {Universidade Federal de Alagoas – 
                         UFAL}",
                title = "Classifica{\c{c}}{\~a}o de imagem CBERS para mapeamento de 
                         {\'a}reas de recarga de mananciais subterr{\^a}neos",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4679--4686",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "CBERS image, recarga urbana, CBERS, hidrologia subterr{\^a}nea, 
                         contamina{\c{c}}{\~a}o de aqu{\'{\i}}feros, urban recharge, 
                         CBERS, groundwater hydrology, aquifer contamination.",
             abstract = "This paper presents the results of the use of remote sensing as a 
                         tool to quantify regional groundwater recharge, applied in a 
                         coastal urban aquifer in the city of Maceio, located in 
                         northeastern Brazil. The identification of recharge is one of the 
                         more important elements of a vulnerability assessment in 
                         subsurface hydrology. Recharge is not easily assessed and is known 
                         to be affected by a number of factors such as land use-land cover 
                         (LULC), topography and precipitation. The data for the LULC map 
                         were prepared through the classification process of a CBERS 2 
                         satellite image. Four categories of interest were classified in 
                         the domain: urban/residential, agriculture (mostly irrigated 
                         sugarcane fields) and non-native vegetation (mostly brush and 
                         shrubs) and non-vegetated fields. The supervised maximum 
                         likelihood classification was performed using ENVI. Results 
                         indicated a Kappa coefficient of 87%. In addition to 
                         precipitation, other sources of recharge in urban areas were 
                         identified as leakage from water supply pipes and sewer systems, 
                         and in rural areas irrigation return. Urban recharge was found to 
                         be a major component of groundwater recharge, with values that 
                         doubles the recharge in non-urban areas. This increase may be 
                         attributed to removal of native vegetation as well as infiltration 
                         from water mains.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTBW/348PFF2",
                  url = "http://urlib.net/ibi/3ERPFQRTBW/348PFF2",
           targetfile = "4679-4686.pdf",
                 type = "Hidrologia",
        urlaccessdate = "15 jun. 2024"
}