@InProceedings{GonçalvesNelsLope:2017:ScUpCa,
               author = "Gon{\c{c}}alves, Nathan Borges and Nelson, Bruce Walker and 
                         Lopes, Aline Pontes",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Scaling up canopy leaf phenology in the Central Amazon from tower 
                         mounted RGB cameras to Landsat 8",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3092--3097",
         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 = "Tower mounted RGB cameras in Central Amazonia have detected three 
                         seasonal contrasts in visible bands for terra firme forest upper 
                         canopy in dry season when compared to wet season: (1) more bright 
                         green crowns with recently flushed new leaves, causing gradual 
                         landscape scale green-up over the dry season; (2) more crowns at 
                         the brief pre-flush leafless stage; and (3) higher inter-crown 
                         variance of greenness. Here we confirm all three patterns at the 
                         Landsat 8 scale, using 15m pan-sharpened green and red bands from 
                         a pair of 2015 dry and wet season images of the same scene. Solar 
                         elevation angles were very similar between the two images (< 0.7° 
                         difference) and view angles were restricted to < 0.6° off-nadir, 
                         thus controlling for BRDF effects. We controlled for atmospheric 
                         effects as a co-variable, using the coastal aerosol band. 
                         Greenness based on visible bands was strongly seasonal, but this 
                         was not the case for NDVI and EVI vegetation indices. At 30 m 
                         resolution, and using surface reflectance of pixels selected from 
                         a narrow range of TOA Coastal aerosol, NDVI was slightly higher in 
                         the dry season (0.895) than in the wet season (0.860). EVI was not 
                         different between the two seasons. On the other hand, variance for 
                         both NDVI and EVI was higher in dry season as expected from tower 
                         data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59389",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLRRL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRRL",
           targetfile = "59389.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}