@InProceedings{MaedaHeisArag:2015:AsSeMO,
               author = "Maeda, Eduardo Eiji and Heiskanen, Janne and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessing the sensitivity of MODIS EVI to rainfall and radiation 
                         extremes in the Amazon rainforest",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1844--1851",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Clarifying the response of vegetation to environmental changes is 
                         essential for better understating the susceptibility of the Amazon 
                         forest to extreme events. Vegetation indices derived from 
                         satellite imagery have often been used to assess changes in forest 
                         canopy caused by climate variability. However, recent studies 
                         indicate that some vegetation indices are strongly affected by 
                         satellite data artefacts and may not provide a reliable indicator 
                         of changes in canopy characteristics. In this context, it is 
                         currently unclear if vegetation indices are sensitive to subtle 
                         changes in the Amazon forest canopy. This study analyses 12 years 
                         of MODIS enhanced vegetation index (EVI) in order to evaluate its 
                         response to changes in rainfall and solar radiation. We show that, 
                         after removing cloud and aerosol contamination, and correcting 
                         BRDF effects, radiation and rainfall extremes show no influence on 
                         EVI anomalies. However, EVI seasonal patterns are still evident 
                         after accounting for sun-sensor geometry effects.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "366",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49CH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49CH",
           targetfile = "p0366.pdf",
                 type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
        urlaccessdate = "27 abr. 2024"
}