@InProceedings{ScottáFons:2013:AnTeSé,
               author = "Scott{\'a}, Fernando Comerlato and Fonseca, Eliana Lima da",
                title = "An{\'a}lise de tend{\^e}ncias em s{\'e}ries temporais de dados 
                         meteorol{\'o}gicos e dados de sensoriamento remoto orbital em 
                         {\'a}reas de vegeta{\c{c}}{\~a}o campestre natural do bioma 
                         Pampa, localizadas na Depress{\~a}o Central do RS",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3003--3009",
         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",
             abstract = "This work aims at checking for trends in time series of 
                         meteorological and remote sensing data in areas of natural 
                         grassland, located in Depress{\~a}o Central,RS. The analyzed 
                         period was from 04/01/1998 until 12/21/2011. This study used 
                         ten-day period averages of minimum, mean and maximum air 
                         temperature data, ten-day period of accumulated rainfall and 
                         ten-day period of accumulated evapotranspiration data provided by 
                         an automatic weather station, located in Eldorado do Sul-RS 
                         (30º06'20''S, 51º41'10''W). Blue, red, near infrared and 
                         mid-infrared bands and Normalized Difference Vegetation Index 
                         (NDVI) of Vegetation sensor was used. Six areas of native 
                         grassland were identified to be analyzed by the Vegetation sensor. 
                         Plots were constructed to show the dispersion and linear trend 
                         line using Sigmaplot 10.0 software. Correlation analyzes with a 
                         ten-day period lag between the meteorological data and the 
                         Vegetation sensor was performed. The accumulated rainfall was the 
                         only element of climate that tended to increase. The other 
                         meteorological data showed stability during the analyzed period. 
                         For the Vegetation sensor data, the most sensitive bands to 
                         changes in the amount of water in the canopy, as the mid-infrared 
                         and red bands, showed negative trend. This result is consistent 
                         with the increased cumulative rainfall. In correlation analyzes 
                         with a ten-day period lag, the band near infrared and NDVI showed 
                         higher correlation coefficient with the meteorological data.",
  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 = "1517",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GLRE",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GLRE",
           targetfile = "p1517.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "2024, Apr. 29"
}