@InProceedings{HueteRataShim:2005:ReCaWa,
               author = "Huete, Alfredo Ramon and Ratana, Piyachat and Shimabukuro, Yosio 
                         Edemir",
          affiliation = "University of Arizona. Dept. Soil, Water amd Environmental 
                         Science. and University of Arizona. Dept. Soil, Water amd 
                         Environmental Science. and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Remotely-sensed carbon and water variations in natural and 
                         converted ecosystems with time series MODIS data",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "573--578",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "enhanced vegetation index, land surface water index, MODIS, time 
                         series data.",
             abstract = "We investigated the spatial and temporal variations in vegetation 
                         biologic activity across an eco-climatic transect traversing 
                         Amazon forest, transition, cerrado, and associated land conversion 
                         areas with MODIS time series data. We utilized 4 years of 
                         vegetation index and land surface water index data to depict 
                         carbon and water variations over our study areas. The coupled 
                         water and carbon indices were investigated with hyperspectral 
                         Hyperion data and scaled up to MODIS data for spatial and seasonal 
                         extension. Land surface moisture and carbon patterns behaved in an 
                         opposite manner between natural and converted areas and exhibited 
                         significant seasonal variations. Whereas the enhanced vegetation 
                         index (EVI) was positively correlated with the land surface water 
                         index (LSWI) in converted pastures and cerrado ecosystems, there 
                         was an inverse relationship between these two indices over primary 
                         forest areas. Our results show that these MODIS datasets can track 
                         vegetation activity in the Amazon region, including biologic 
                         responses to shifts in vegetation type and disturbance. 
                         Remotely-sensed land surface water indices combined with the 
                         carbon products yield important information useful in the 
                         prediction of vegetation health response to climate change and 
                         human land cover modifications.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Ingl{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.22.19.10",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.22.19.10",
           targetfile = "573.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "20 maio 2024"
}