@InProceedings{BecerraAlva:2006:DeTrSa,
               author = "Becerra, Jorge Alberto Bustamante and Alval{\'a}, Regina 
                         C{\'e}lia dos Santos",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Detection of tropical Savannah (Cerrado) physiognomies in the 
                         Legal Amazon by the application of the vegetation and moisture 
                         indices with MODIS time series data",
            booktitle = "Proceedings...",
                 year = "2006",
               editor = "Vera, Carolina and Nobre, Carlos",
                pages = "861--867",
         organization = "International Conference on Southern Hemisphere Meteorology and 
                         Oceanography, 8. (ICSHMO).",
            publisher = "American Meteorological Society (AMS)",
              address = "45 Beacon Hill Road, Boston, MA, USA",
             keywords = "Land cover classification, Cerrado physiognomies, Legal Amazon, 
                         vegetation and moisture index, MODIS image analysis.",
             abstract = "Deforestation and agricultural expansion are the main 
                         anthropogenic factors that determine the land cover changes in the 
                         Legal Brazilian Amazon. These changes could alter the dynamic 
                         equilibrium between regional climate and vegetation. The mapping 
                         of the land cover usually clusters, as a single class, the 
                         forested, savanna type and grassland Cerrado physiognomies. This 
                         is caused by the difficulty to differentiate these physiognomies 
                         among them, due to similar spectral responses. However, the 
                         spectral behavior of these land cover classes may be identified 
                         when they are analyzed along the annual cycle, including both the 
                         dry and the rainy season. To validate this hypothesis the State of 
                         Tocantins, which is characterized by presenting extensive savannah 
                         areas, was chosen. The main data used were two MODIS Vegetation 
                         Indices, the normalized difference vegetation index (NDVI) and the 
                         enhanced vegetation index (EVI), both for 16-days composition 
                         periods and 250 m resolution, and the near and medium infrared 
                         bands. A moisture index, the land surface water index (LSWI), was 
                         computed using these bands. To cover the area of the study, a 
                         mosaic of two MODIS tiles (h13v09 and h13v10) was used. For the 
                         seasonal analysis, four mosaics were used: for the rainy season, 
                         from January 01 to 16, 2004, and from March 21 to April 05, 2004, 
                         and for the dry season, from July 11 to 26, 2004 and September 29 
                         to October 14, 2004. For each period, 3 mosaics were elaborated, 
                         corresponding to NDVI, EVI and LSWI index images, totaling 12 
                         mosaics. The land cover classes were determined through an 
                         unsupervised classification technique of the index images. To 
                         validate the results of the classification, the Global Land Cover 
                         - GLC 2000 map (1 km resolution) was used. Finally, for the 
                         determination of the seasonal patterns of each class evaluated, a 
                         longitudinal profile was elaborated from a transect that includes 
                         the main classes of vegetation cover. The results of the 
                         classification show the occurrence of mixtures between classes of 
                         land cover: deciduous forest with agriculture, during the rainy 
                         season, and agriculture with savannah, during the dry season. They 
                         are identified from the profiles of the 3 indices that show 
                         similar tendency in the grouping of the land cover classes. Thus, 
                         a way to identify the Cerrado physiognomies in the Amazon region 
                         could be, first, the separation of the Cerrado class from the 
                         other classes using the rainy season data and, thereafter, by the 
                         classification of the Cerrado physiognomies, using the dry season 
                         data.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "24-28 Apr. 2006",
           copyholder = "SID/SCD",
             language = "en",
         organisation = "American Meteorological Society (AMS)",
                  ibi = "cptec.inpe.br/adm_conf/2005/10.31.23.42",
                  url = "http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.31.23.42",
           targetfile = "861-868.pdf",
                 type = "Impacts of land cover and land use changes",
        urlaccessdate = "20 maio 2024"
}