@InProceedings{SantosPardKeilKram:1999:LiSpMi,
               author = "Santos, Jo{\~a}o Roberto dos and Pardi Lacruz, Maria Silvia and 
                         Keil, Manfred and Kramer, Julia Marie Charlotte",
                title = "A linear spectral mixture model to estimate forest and savana 
                         biomass at transition areas in Amazonia",
            booktitle = "Proceedings...",
                 year = "1999",
                pages = "753--755",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS)",
            publisher = "IEEE",
              address = "Piscataway, NJ",
             keywords = "Biomass, Computer simulation, Forestry, Geographical regions, 
                         Image analysis, Mapping, Satellite observatories, Vegetation, 
                         Amazonia, Fraction image, Savanna, Spectral mixture model, 
                         Transition zones, Tropical rainforest.",
             abstract = "The objective of this paper is to analyze the potential 
                         application of fraction images from a spectral mixture model, to 
                         characterize the different vegetation types at transition zones 
                         between forest and savanna formations. This study presents also me 
                         summarized methodology of biomass data collection during a field 
                         survey, the spatial distribution of {"}vegetation', {"}soil{"} and 
                         {"}shade{"} proportions for each class identified at the 
                         TM/Landsat image, as well as the relation among biomass and the 
                         variables obtained from satellite data, derived from this spectral 
                         mixture model. This approach has been very useful to monitor the 
                         changes due to land occupation that have occurred in these 
                         transition zones of forest/savanna in Brazilian Amazonia.",
  conference-location = "Hamburg, Germany",
      conference-year = "28 June - 2 July 1999",
           copyholder = "SID/SCD",
                label = "8895",
             language = "en",
         organisation = "IEEE Geoscience and Remote Sensing Society; University of Hamburg; 
                         NASA; NOAA",
        urlaccessdate = "10 maio 2024"
}