@InProceedings{RissoRiEpRuFoShFe:2009:PoÍnVe,
               author = "Risso, Joel and Rizzi, Rodrigo and Epiphanio, Rui Dalla Valle and 
                         Rudorff, Bernardo Friedrich Theodor and Formaggio, Ant{\^o}nio 
                         Roberto and Shimabukuro, Yosio Edemir and Fernandes, S{\'e}rgio 
                         Leal",
          affiliation = "{Universidade Federal de Pelotas - UFPEL/RS} and {Universidade 
                         Federal de Pelotas - UFPEL/RS} and {Engenheiro Agr{\^o}nomo/SP} 
                         and {Instituto Nacional de Pesquisas Espaciais - INPE/SP} and 
                         {Instituto Nacional de Pesquisas Espaciais - INPE/SP} and 
                         {Instituto Nacional de Pesquisas Espaciais - INPE/SP} and 
                         {Universidade Federal de Pelotas - UFPEL/RS}",
                title = "Potencialidade dos {\'{\i}}ndices de vegeta{\c{c}}{\~a}o EVI e 
                         NDVI dos produtos MODIS na separabilidade espectral de {\'a}reas 
                         de soja",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "379--386",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, crop monitoring, satellite images, sensoriamento 
                         remoto, monitoramento agr{\'{\i}}cola, imagens de 
                         sat{\'e}lite.",
             abstract = "Spatial distribution and spectral-temporal variations of 
                         agricultural lands have been largely analyzed from regional to 
                         global scales using the Normalized Difference Vegetation Index 
                         (NDVI) derived from images with low spatial and high temporal 
                         resolutions acquired by the Advanced Very High Resolution 
                         Radiometer (AVHRR) sensor. The Enhanced Vegetation Index (EVI) 
                         designed for MODerate resolution Imaging Spectroradiometer (MODIS) 
                         sensor onboard of Terra and Aqua spacecrafts reduces the 
                         atmospheric and background contamination and also minimizes the 
                         NDVI saturation problem over lands with high biomass such as 
                         tropical forest. In this paper we investigated the performance of 
                         both EVI and NDVI Vegetation Indexes (VI) from 250 m MODIS product 
                         (MOD13Q1) for monitoring vegetation canopy conditions in order to 
                         discriminate soybean crop from forested and bare soil areas. A 
                         thematic map derived from Landsat-TM images was used as reference 
                         map to evaluate the VI temporal behavior for the targets of 
                         interest. In order to model the spectral-temporal curves for these 
                         targets for both VI a fifth-order polynomial equation was applied 
                         and a definite integral was then used to calculate the area 
                         bounded by the curves. Although both MODIS VI temporal profiles 
                         showed almost similar response throughout soybean growing season, 
                         we found that NDVI is more effective in discriminating soybean 
                         areas from forest and bare soil during the soybean pre-planting 
                         period while EVI is more valuable and improves the contrast 
                         between those areas during the soybean peak canopy development.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.18.00.07",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.00.07",
           targetfile = "379-386.pdf",
                 type = "Agricultura",
        urlaccessdate = "16 jun. 2024"
}