@InProceedings{GonçalvesLopDalWuNel:2019:CoDrGr,
               author = "Gon{\c{c}}alves, Nathan Borges and Lopes, Aline Pontes and 
                         Dalagnol, Ricardo and Wu, Jin and Nelson, Bruce Walker",
          affiliation = "{Michigan State University} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {University of Hong Kong} and {Instituto Nacional de 
                         Pesquisas da Amaz{\^o}nia (INPA)}",
                title = "Confirming dry-season green-up in Central Amazon forests with 
                         Landsat 8 and the role of leaf demography in MODIS-MAIAC seasonal 
                         spectral patterns",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2117--2120",
         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 = "tropical forest green-up, EVI seasonality, phenocam, leaf 
                         demography, LAI.",
             abstract = "We ask: (Q1) For two Central Amazon forest regions, do Landsat 8 
                         OLI seasonal patterns of Green chromatic coordinate (Gcc), EVI and 
                         NIR corroborate BRDF-corrected Modis-MAIAC? (Q2) What are the 
                         biological drivers of Modis-MAIAC EVI and Gcc seasonality? For Q1 
                         we obtained, for two Landsat 8 scenes, seasonal image sets having 
                         minimal difference in their artifacts from sun-sensor geometry. We 
                         found seasonal patterns for both spectral indices and for NIR from 
                         Landsat 8 were consistent with local Modis-MAIAC, thus confirming 
                         Modis detections of dry season green-up. For Q2, we found the 
                         fraction of upper canopy crowns with young leaves (< 1mo) was 
                         highly correlated with Modis-MAIAC Gcc. The fraction of crowns 
                         with mature leaves (2-7 mo) was highly correlated with Modis-MAIAC 
                         EVI. LAI, estimated by two methods, was poorly correlated with 
                         seasonal spectral changes.",
  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/3U255P8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U255P8",
           targetfile = "97360.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}