@InProceedings{OliveiraFrei:2015:AnCoO,
               author = "Oliveira, Gabriel Cury Martins de and Freitas, Marcos Aur{\'e}lio 
                         Vasconcelos de",
                title = "An{\'a}lise de correla{\c{c}}{\~o}es entre o {\'{\i}}ndice de 
                         vegeta{\c{c}}{\~a}o por diferen{\c{c}}a normalizada (NDVI) e 
                         dados hidrometeorol{\'o}gicos do entorno do reservat{\'o}rio da 
                         usina hidrel{\'e}trica de Tucuru{\'{\i}}-PA utilizando imagens 
                         Landsat-5 TM",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "771--776",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Different vegetation indices can be estimated from the remote 
                         sensing image data held in the red and near infrared bands, easily 
                         obtained from Landsat series imagery. In this paper the normalized 
                         difference vegetation index (NDVI) was used to evaluate the 
                         vegetation distribution on nine scenes obtained from the TM sensor 
                         on board of Landsat 5 satellite, that compose the mosaic of the 
                         Tucuru{\'{\i}} Hydropower Plant surroundings, in Par{\'a} 
                         state. In order to compare the changes in the land use and land 
                         cover was assessed in three different periods, viz. 1986, 1997 and 
                         2010. After the NDVI was calculated and classified, the total 
                         areas concerning each class (in terms of amount of pixels) were 
                         correlated with physical parameters measured in 
                         hydrometeorological stations. High correlation values were 
                         encountered, which indicates that the presence and distribution of 
                         the canopy influence the state of the parameters, such as 
                         temperature, nebulosity and precipitation, amongst others.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "144",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM474H",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM474H",
           targetfile = "p0144.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "06 maio 2024"
}