@InProceedings{ChavesLázaNassConc:2013:UtÍnVe,
               author = "Chaves, Michel Eust{\'a}quio Dantas and L{\'a}zaro, Alexsandra 
                         da Silva and Nassur, Ot{\'a}vio Augusto Carvalho and 
                         Concei{\c{c}}{\~a}o, Fagner Goes da",
                title = "Utiliza{\c{c}}{\~a}o dos {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o EVI e NDVI como ferramenta de an{\'a}lise 
                         da din{\^a}mica da vegeta{\c{c}}{\~a}o no Parque Nacional da 
                         Serra da Canastra - MG",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3282--3289",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, vegetation index, geoprocessing, geographic 
                         information system, sensoriamento remoto, {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o, geoprocessamento, sistema de 
                         informa{\c{c}}{\~o}es geogr{\'a}ficas.",
             abstract = "The advancement of space research facilitated access to images 
                         produced by satellites, often available for free. Such images 
                         facilitate studies whose geographic information obtained are 
                         applied in different areas such as agriculture, forest, 
                         meteorology, cartography and urban cadastre. In order to know 
                         about vegetation vigor many studies use Vegetation Indices (VIs). 
                         The VIs use surface reflectance at wavelengths designed to 
                         highlight a particular property of vegetation. The VIs correlated 
                         with precipitation revealed the time response of vegetation 
                         according precipitation in a particular area. The Normalized 
                         Difference Vegetation Index (NDVI) and Enhanced Vegetation Index 
                         (EVI) from MODIS and VEGETATION-2 sensors respectively, also 
                         rainfall data were used in this research to study changes in 
                         vegetation at Parque Nacional da Serra da Canastra, from 2008 to 
                         2011 in the state of Minas Gerais. The Integrated Land and Water 
                         Information System (ILWIS) software was used to support, import, 
                         process and analyze the special information. The results showed 
                         that values of EVI were lower than the values of NDVI for the 
                         entire period of study. It was observed that NDVI had small values 
                         when the EVI reached peaks. Relative to rainfall, the NDVI had the 
                         highest response time. Some characteristics from the sensors also 
                         contributed for differences in the found values.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1316",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GKE5",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GKE5",
           targetfile = "p1316.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "03 maio 2024"
}