@InProceedings{SchirmbeckFonSchMenKup:2017:AnVaMi,
               author = "Schirmbeck, Lucimara Wolfarth and Fontana, Denise Cybis and 
                         Schirmbeck, Juliano and Mengue, Vagner Paz and Kuplich, Tatiana 
                         Mora",
          affiliation = "{} and {} and {} and {} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "An{\'a}lise de varia{\c{c}}{\~a}o microclim{\'a}tica no Bioma 
                         Pampa devido {\`a} mudan{\c{c}}a de uso do solo",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1939--1946",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Changing the grassland physiognomies ends up causing changes in 
                         the microclimate, which are important to be investigated and 
                         quantified. On this assumption the objective of this study was to 
                         verify how the difference in the use and land cover influence on 
                         regional microclimate from the soil moisture content TVDI, 
                         obtained from the Landsat 8 - OLI. For this purpose we used the 
                         Landsat 8 - OLI product NDVI (Normalized Difference Vegetation 
                         Index) was calculated, and the surface temperature (TS) by 
                         split-window method, which is based on the use of two bands of the 
                         thermal spectrum. The TVDI (Temperature-Vegetation Dryness Index) 
                         was estimated from the image of TS and NDVI which were related 
                         yielding a pattern of triangular shaped dispersion. Also used up 
                         the rainfall data coming from weather station surface. The results 
                         showed that the TVDI is able to indicate and quantify differences 
                         in water condition that occurs in Rio Grande do Sul, associated 
                         with the TS differences and type of use and land cover. The 
                         highest rates occurred in regions with higher TS and smaller NDVI 
                         in the case, the natural fields. The OLI sensor onboard Landsat 8, 
                         allowed a spatial detail of TVDI compatible with the size of 
                         fields that occur in the region.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59251",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLPLG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPLG",
           targetfile = "59251.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}