@InProceedings{SantosPereKupl:2019:CoÍnVe,
               author = "Santos, Marcos Augusto Gomes dos and Pereira Filho, Waterloo and 
                         Kuplich, Tatiana Mora",
          affiliation = "{Universidade Federal de Santa Maria (UFSM)} and {Universidade 
                         Federal de Santa Maria (UFSM)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Correla{\c{c}}{\~a}o entre {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o gerados a partir de dados 
                         espectrorradi{\^o}metro",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "3031--3033",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "comprimento de onda, espectrorradi{\^o}metria, sensoriamento 
                         remoto, wavelength,spectroradiometry, remote sensing.",
             abstract = "Os {\'{\i}}ndices de vegeta{\c{c}}{\~a}o real{\c{c}}am a 
                         contribui{\c{c}}{\~a}o das propriedades da vegeta{\c{c}}{\~a}o 
                         e permitem estabelecer compara{\c{c}}{\~o}es espaciais e 
                         temporais da atividade fotossint{\'e}tica e das 
                         varia{\c{c}}{\~o}es estruturais do dossel. O objetivo desse 
                         estudo foi analisar a correla{\c{c}}{\~a}o entre os dados de 
                         espectrorradiometria de campo, originais e convertidos para os 
                         {\'{\i}}ndices de vegeta{\c{c}}{\~a}o. O presente trabalho foi 
                         realizado na {\'a}rea experimental do campus da UFSM 
                         (Universidade Federal de Santa Maria). Nesse estudo foram 
                         utilizados os {\'{\i}}ndices NDVI (Normalized Difference 
                         Vegetation Index), SAVI (Vegetation Index Soil-Adjuste) e EVI ( 
                         Enhanced Vegetation Index), derivados de espectrorradiometria. 
                         Como resultado desse estudo, obteve-se correla{\c{c}}{\~a}o 
                         significativa entre todos os {\'{\i}}ndices, com forte 
                         correla{\c{c}}{\~a}o positiva entre o EVI e SAVI. ABSTRACT: The 
                         vegetation indexes highlight the vegetation properties 
                         contribution and allow spatial and temporal comparisons of the 
                         photosynthetic activity and of the canopy structural variations. 
                         The goal of this study was to analyze the correlation between the 
                         field spectroradiometry data, both the original and the converted 
                         to vegetation indexes. This work was done on the UFSM (Santa Maria 
                         Federal University) campus experimental area. In this study NDVI 
                         (Normalized Difference Vegetation Index), SAVI (Vegetation Index 
                         Soil-Adjuste) and EVI (Enhanced Vegetation Index) indexes were 
                         used, all derived from spectroradiometry. As a result of this 
                         study, a meaningful correlation was obtained between all indexes, 
                         with strong positive correlation between EVI and SAVI.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3UAMLRP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UAMLRP",
           targetfile = "97941.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "26 abr. 2024"
}