@InProceedings{AmaralCostRenn:2007:ExNeGe,
               author = "Amaral, Silvana and Costa, Cristina Bestetti and Renn{\'o}, 
                         Camilo Daleles",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE} and {Instituto Nacional de 
                         Pesquisas Espaciais - INPE}",
                title = "Normalized Difference Vegetation Index (NDVI) improving species 
                         distribution models: an example with the neotropical genus 
                         Coccocypselum (Rubiaceae)",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "2275--2282",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "GEOPROCESSAMENTO, aplica{\c{c}}{\~o}es e modelagem ambiental, 
                         NDVI, species distribution models (SDM), GARP, rubiaceae, 
                         pseudo-absence.",
             abstract = "Predictive models of species distributions use occurrence records 
                         and environmental data to produce a model of the species 
                         requirements and a map of its potential geographical distribution. 
                         This work analyses the contribution of remote sensing data, 
                         specifically the NDVI, for species distribution models, based on 
                         the taxonomic revision of the Neotropical genus Coccocypselum. 
                         GARP were use inside the OpenModeller to develop species 
                         distribution maps of five Coccocypselum species in the Brazilian 
                         territory. We generated two sets of models: using climate and 
                         topographic raster grids as environmental data, and a second one 
                         adding NDVI values. Presence and absence sample points statically 
                         evaluated the models, and for all species, Kappa values were 
                         higher than 0.5, indicating a good fit of the models. The sample 
                         size influenced the Mann-Whitney test, but it proved that species 
                         distribution models including NDVI were slightly better than 
                         models without NDVI. Despite this work is not conclusive, it 
                         contributes to generate better environmental data for ecological 
                         modeling.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.15.14.30",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.14.30",
           targetfile = "2275-2282.pdf",
                 type = "Geoprocessamento: Aplica{\c{c}}{\~o}es e Modelagem Ambiental",
        urlaccessdate = "17 maio 2024"
}