@InProceedings{XaudXauFerKamSan:2009:AnPaVe,
               author = "Xaud, Maristela Ramalho and Xaud, Haron Abrahim Magalh{\~a}es and 
                         Ferreira, Nelson Jesus and Kampel, Milton and Santos, Jo{\~a}o 
                         Roberto dos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais/INPE-SP e Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria/CPAF-RR} and {Instituto 
                         Nacional de Pesquisas Espaciais/INPE-SP e Empresa Brasileira de 
                         Pesquisa Agropecu{\'a}ria/CPAF-RR} and {Instituto Nacional de 
                         Pesquisas Espaciais/INPE-SP} and {Instituto Nacional de Pesquisas 
                         Espaciais/INPE-SP} and {Instituto Nacional de Pesquisas 
                         Espaciais/INPE-SP}",
                title = "An{\'a}lise de padr{\~o}es de vegeta{\c{c}}{\~a}o atrav{\'e}s 
                         de s{\'e}ries temporais de NDVI-NOAA e suas rela{\c{c}}{\~o}es 
                         com o clima em Roraima",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3143--3150",
         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 = "vegeta{\c{c}}{\~a}o, NDVI, NOAA, El Niņo, La Niņa, Amazonia 
                         Setentrional.",
             abstract = "Multi-temporal series of NDVI-NOAA obtained from NASA, through 
                         GIMMS (Global Inventory Modeling and Mapping Studies) in the 
                         period of 1982-1999, are used in this study to analyze the annual 
                         and inter-annual behavior of this vegetation index in different 
                         typologies of vegetation in the State of Roraima, in Northern 
                         Brazilian Amazon, and their interactions with climatic patterns. 
                         The samples represent the following typologies: dense forest in 
                         highlands, dense forest in lowlands, transitional forests, 
                         savannas and pioneer formations. The results show different 
                         behavior in NDVI values among the three main pattern of 
                         vegetation: savannas, pioneer formation and forests. Furthermore, 
                         the inter-annual analysis permits identifying periods of climatic 
                         anomalies like El Niņo and La Niņa and points out sensibility to 
                         detect strong alterations in the atmosphere.",
  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/348PHP8",
                  url = "http://urlib.net/ibi/3ERPFQRTBW/348PHP8",
           targetfile = "3143-3150.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "15 jun. 2024"
}