@InProceedings{MouraGASWOBLNA:2017:EsCaFl,
               author = "Moura, Yhasmin Mendes de and Galv{\~a}o, L{\^e}nio Soares and 
                         memoriam, Thomas Hilker - In and Amaral, Cibele Hummel and 
                         Saleska, Scott and Wu, Jin and Oliveira Junior, Raimundo Cosme de 
                         and Bueno, Carolyne and Lopes, Aline Pontes and Nelson, Bruce 
                         Walker and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {} and {} and 
                         {} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Utiliza{\c{c}}{\~a}o de c{\^a}meras hiperespectrais para 
                         caracteriza{\c{c}}{\~a}o fenol{\'o}gica de doss{\'e}is 
                         florestais: um estudo de caso na Floresta Nacional do Tapaj{\'o}s 
                         Par{\'a}",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2684--2691",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "We investigate how canopy spectral signals are linked with 
                         phenological processes during the 2012 dry season in the 
                         Tapaj{\'o}s National Forest, Par{\'a}, Brazil. We disentangled 
                         the spectral components of canopy phenology processes and analyzed 
                         their variations over time using six images acquired by a 
                         tower-mounted hyperspectral camera. We applied two techniques over 
                         the data (spectral mixture analysis - SMA and principal component 
                         analysis - PCA) and calculated two vegetation indices (Enhanced 
                         Vegetation Index - EVI and Normalized Difference Vegetation Index 
                         - NDVI). The results showed that the differences in timing and 
                         intensity of leaf flushing and leaf shedding between the species 
                         produced different green vegetation (GV) and non-photosynthetic 
                         vegetation (NPV) SMA-fractions. Differences in canopy phenology 
                         between the species were also confirmed by PCA. Temporal 
                         variations in the described patterns of canopy phenology were 
                         detected by the EVI and NDVI, presenting statistical differences 
                         (0.05 significance level) between the species and across the 
                         dates. Canopy phenology patterns of leaf flushing increased the 
                         EVI values toward the end of time series due to the observed 
                         changes in the NIR reflectance from mature to young leaves. NDVI 
                         was more sensible to canopy phenology patterns of leaf shedding, 
                         decreasing over time due to the reduction in chlorophyll content 
                         and the resultant increase in the red reflectance with 
                         deciduousness. We conclude that tower-based networks of 
                         phenological observations can provide new opportunities for better 
                         understand tropical ecosystem phenology as well as for scaling 
                         these processes across the landscape with the use of moderate 
                         spatial resolution satellite data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59267",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLR48",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLR48",
           targetfile = "59267.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "03 maio 2024"
}