@InProceedings{ReisAmarRodrGalv:2019:AnFeMa,
               author = "Reis, Josu{\'e} Paoli and Amaral, Cibele Hummel do and Rodrigues, 
                         Ian Quint{\~a}o and Galv{\~a}o, L{\^e}nio Soares",
          affiliation = "{Universidade Federal de Vi{\c{c}}osa (UFV)} and {Universidade 
                         Federal de Vi{\c{c}}osa (UFV)} and {Universidade Federal de 
                         Vi{\c{c}}osa (UFV)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "An{\'a}lise fenol{\'o}gica de matas rip{\'a}rias do bioma 
                         cerrado atrav{\'e}s de {\'{\i}}ndices hiperespectrais de 
                         vegeta{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "939--942",
         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 = "Sensoriamento remoto, {\'{\i}}ndices de vegeta{\c{c}}{\~a}o, 
                         Cerrado, Remote sensing, vegetation indices, Cerrado.",
             abstract = "O Cerrado {\'e} considerado um dos hotspots mundiais de 
                         biodiversidade. O presente trabalho tem como objetivo caracterizar 
                         o comportamento fenol{\'o}gico intra-anual de fragmentos de mata 
                         rip{\'a}ria do Cerrado, no centro-oeste do Brasil, em resposta 
                         {\`a} varia{\c{c}}{\~a}o em precipita{\c{c}}{\~a}o 
                         (per{\'{\i}}odo chuvoso e seco) para o ano de 2010, atrav{\'e}s 
                         de {\'{\i}}ndices de vegeta{\c{c}}{\~a}o obtidos por imagens 
                         do sensor Hyperion/EO-1. Ap{\'o}s a obten{\c{c}}{\~a}o dos 
                         valores de reflect{\^a}ncia, foram calculados cinco 
                         {\'{\i}}ndices de vegeta{\c{c}}{\~a}o (SR, NDVI, SAVI, EVI e 
                         ARVI) para cada imagem. Os valores dos {\'{\i}}ndices 
                         correspondentes aos fragmentos da vegeta{\c{c}}{\~a}o foram 
                         extra{\'{\i}}dos e analisados. Os resultados obtidos mostraram 
                         que os valores de todos os {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o foram maiores no per{\'{\i}}odo chuvoso 
                         comparado ao per{\'{\i}}odo seco. Isso indica que a {\'a}rea 
                         foliar fotossinteticamente ativa da fitofisionomia analisada foi 
                         maior no per{\'{\i}}odo chuvoso comparado ao per{\'{\i}}odo 
                         seco, conforme esperado, com os {\'{\i}}ndices mostrando 
                         diferentes sensibilidades para detectar esta diferen{\c{c}}a. 
                         ABSTRACT: The Cerrado is considered one of the world's 
                         biodiversity hotspots. The objective of this work is to 
                         characterize the seasonal phenological behavior of riparian forest 
                         fragments of the Cerrado, in central-western Brazil, in response 
                         to the variation in precipitation (rainy and dry period) for the 
                         year 2010, using vegetation indices calculated from Hyperion/EO-1 
                         data. After converting the images into surface reflectance, five 
                         vegetation indices (SR, NDVI, SAVI, EVI e ARVI) were calculated 
                         for each image. Their values over the fragments of the vegetation 
                         were extracted and analyzed. The results showed that the values of 
                         all vegetation indices analyzed were higher in the rainy period 
                         compared to the dry period. This indicates that the 
                         photosynthetically active leaf area of the analyzed 
                         phytophysiognomy was higher in the rainy period than in the dry 
                         period, as expected, with vegetation indices having distinct 
                         sensitivity to detect such difference.",
  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/3UAME3B",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UAME3B",
           targetfile = "97930.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "28 abr. 2024"
}