author = "Ummus, Marta Eichemberger and Ferreira, Nelson Jesus and Viana, 
                         Denilson Ribeiro",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais/INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais/INPE} and {Instituto Nacional de 
                         Pesquisas Espaciais/INPE}",
                title = "Resultados preliminares da utiliza{\c{c}}{\~a}o de dados do 
                         sensor MODIS para detec{\c{c}}{\~a}o de eventos frios na 
                         regi{\~a}o Sul do Brasil",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                pages = "1699--1706",
         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 = "MOD11 product, cold events, Land Surface Temperature, eventos 
                         frios, Plataforma de Coleta de Dados, Temperatura de 
                         Superf{\'{\i}}cie Terrestre.",
             abstract = "Pronounced declines of temperature in Southern Brazil may lead to 
                         several phenomena that can drive to serious consequences for crops 
                         and farms, as for instance frosts. One of the most important 
                         parameters to understand these occurrences is Land Surface 
                         Temperature (LST), once it is the principal indicator of energy 
                         balance. Thus, LST data obtained through remote sensing is an 
                         important tool for analyses like that, once they can extend over 
                         areas not covered by conventional stations for collecting 
                         meteorological data. The aim of this study is to correlate LST 
                         data estimated by MOD11 product of MODIS sensor aboard Terra 
                         platform and data recorded by data collecting landing-stages of 
                         National Meteorology Institute (INMET). Besides it was evaluated 
                         the ability of remote sensing data, specifically MODIS sensor, to 
                         detect cold events. Therefore Root Mean Squared Error (RMSE) and 
                         Bias values were calculated so as to regard three perspectives: 
                         latitude, geomorphological subdivision and overpass time of 
                         sensor. Achieved results show that although there are significant 
                         differences between observed and estimated data, RMSE and Bias 
                         values are not so high, what shows the feasibility of the use of 
                         MODIS data to detect and analyze cold events.",
      accessionnumber = "0",
  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 = "dpi.inpe.br/sbsr@80/2008/",
                  url = "http://urlib.net/rep/dpi.inpe.br/sbsr@80/2008/",
           targetfile = "1699-1706.pdf",
                 type = "Atmosfera",
        urlaccessdate = "20 jan. 2021"