@InProceedings{Brum-Bastos:2017:NeOpCh,
               author = "Brum-Bastos, Vanessa",
                title = "Movement ecology and human mobility in the GPS tracking era: new 
                         opportunities and challenges for remote sensing application",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7047--7054",
         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 = "Recent advances in tracking technology and remote sensing have 
                         been shifting the core of movement research. The unprecedented 
                         quantity and quality of movement data along with the increasing 
                         availability of remotely sensed products allows movement 
                         researchers to investigate the role played by the environment in 
                         the phenomenon of movement. Environmental triggers of movement can 
                         be analysed using Context Aware Analysis (CAMA), a methodology 
                         that links trajectories to environmental data. Environmental data 
                         in CAMA comes from diverse sources, such as meteorological, 
                         weather radar and most often remote sensing data integrates 
                         context into movement and creates the so-called semantic 
                         trajectories which facilitates context-aware analysis and supports 
                         understanding of how environmental situation affects movement 
                         behaviour. However, CAMA is challenging due to the 1) complexity 
                         of remote sensing data; 2) spatial and temporal incompatibilities 
                         between movement and remotely sensed data; 3) multi dimensionality 
                         and 4) poor interpenetration between the remote sensing and 
                         movement science communities. Hoping to encourage this 
                         interdisciplinary dialogue, this paper presents preliminary 
                         results of CAMA using remotely sensed data from the NIMROD 
                         rainfall radar and gull tracking data which can be downloaded for 
                         free. The preliminary results show the potential of remote sensing 
                         to help answering movement research questions, as well as the 
                         potential of movement research as a new application domain for 
                         remote sensing.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "61650",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMF2P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMF2P",
           targetfile = "61650.pdf",
                 type = "Mapeamento",
        urlaccessdate = "27 abr. 2024"
}