@InProceedings{BezerraNageTeixCoel:2019:AsWaSt,
               author = "Bezerra, Diego Xavier and Nagel, Gustavo Willy and Teixeira, 
                         Ra{\'{\i}}ssa Caroline dos Santos and Coelho, Stella Correia 
                         Cesar",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "An assessment of water stress conditions in Cear{\'a} state based 
                         on TVDI using MODIS data",
            booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "Droughts are complex phenomena that directly impact on water 
                         supply, frequently occurring in the northeast region of Brazil. 
                         Temperature- Vegetation Dryness Index (TVDI) is an approach for a 
                         remotely-sensed based drought monitoring, based on surface 
                         temperature and NDVI. In order to assess the potential of TVDI in 
                         Cear{\'a}, this study evaluates the correlation between TVDI and 
                         accumulated rainfall in May/2019 and September/2018. The linear 
                         regression analysis indicated a strong relationship for the 90 
                         days accumulated rainfall drier period. This assessment can be 
                         applied in future works involving time series analysis, detection 
                         of trends and investigation of relationships between TVDI and in 
                         situ soil moisture data in this region.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFEBTS",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFEBTS",
           targetfile = "224-229.pdf",
        urlaccessdate = "26 abr. 2024"
}