@InProceedings{SiqueiraGiarLohm:2007:ApStPh,
               author = "Siqueira, Marinez F. de and Giarolla, Ang{\'e}lica and Lohmann, 
                         L{\'u}cia G.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)} and 
                         IB/USP",
                title = "Environmental satellite data: Applications for the study of the 
                         physical environment and biodiversity",
                 year = "2007",
         organization = "Strategies for Open and Permanent Access to Scientific Information 
                         in Latin America: Focus on Health and Environmental Information 
                         for Sustainable Development.",
              address = "Atibaia, SP",
             keywords = "Sustainable development.",
             abstract = "Scientific research is becoming more and more dependent on 
                         environmental satellite data of geostationary orbit (GOES and 
                         METEOSAT) and polar orbit (NOAA, TERRA and AQUA). The information 
                         received through these stations is pre-processed and stored as 
                         database and this data is then used to generate information to 
                         monitor climate and development of new products. Specifically in 
                         the case of surface research, data on soil humidity, vegetation 
                         indices and evapo-perspiration are of major importance for the 
                         evaluation of the energy exchange between the surface and the 
                         atmosphere. Furthermore, this data provides critical information 
                         for studies on the physical environment such as biological species 
                         niche modeling, the forecast of the harvest of agricultural 
                         cultures and agricultural zoning, among others. In the specific 
                         case of biodiversity niche modeling, surface data has greatly 
                         improved the quality and applicability of the models generated. 
                         Another major contribution of remote sensing data relates to the 
                         fact that it can contribute data for areas that no longer present 
                         surface data. The presentation will address the use of vegetation 
                         indices and soil humidity data to model the potential distribution 
                         of selection species in poorly collected areas in South America.",
  conference-location = "Atibaia, SP",
      conference-year = "8-10 Maio",
             language = "en",
         organisation = "Centro de Refer{\^e}ncia em Inform{\c{c}}{\~a}o Ambiental, 
                         CRIA",
           targetfile = "msiqueira[1] [Read-Only].pdf",
        urlaccessdate = "09 maio 2024"
}