@InProceedings{CostaKuplUbes:2015:TaCrÍn,
               author = "Costa, Luis Fernando Flenik and Kuplich, Tatiana Mora and Ubessi, 
                         Cassiane",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Tabula{\c{c}}{\~a}o cruzada entre {\'{\i}}ndice de 
                         vegeta{\c{c}}{\~a}o mensal e as vari{\'a}veis clim{\'a}ticas 
                         precipita{\c{c}}{\~a}o e temperatura no Estado do Rio Grande do 
                         Sul",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4776--4783",
         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 = "Vegetation indexes are products obtained from remotely sensed 
                         images. Currently the vegetation indices EVI (Enhanced Vegetation 
                         Index) and NDVI (Normalized Difference Vegetation Index), both 
                         products of the MODIS (Moderate Resolution Spectroradiometer) are 
                         much used in time series analyses. The study of the relationship 
                         between index of vegetation and climatic variables, such as 
                         temperature and precipitation can help to understand the dynamics 
                         between these factors and their answers. The aim of this study is 
                         to verify the relationship between precipitation, temperature and 
                         monthly vegetation index EVI data through cross-tabulation. The 
                         study was carried out with EVI MODIS sensor data between January 
                         2000 and December 2013. Precipitation and temperature data were 
                         obtained through the website of the Worldclim. The grids of 
                         precipitation, temperature, and EVI data were imported into the 
                         software SPRING and classified. The monthly averaged EVI values, 
                         ranked by classification, were related to monthly precipitation 
                         and temperature through cross-tabulation. Most of the 
                         precipitation and temperature values were best related to EVI 
                         classes 0.3 and 0.5. Precipitation and temperature contributed to 
                         the changes in EVI/MODIS values throughout the year in the State 
                         of Rio Grande do Sul.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "933",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4D98",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4D98",
           targetfile = "p0933.pdf",
                 type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
        urlaccessdate = "25 abr. 2024"
}