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@Article{KhanAragIria:2017:UASyMa,
               author = "Khan, S. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and 
                         Iriarte, J.",
          affiliation = "{University of Exeter} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Exeter}",
                title = "A UAV–lidar system to map Amazonian rainforest and its ancient 
                         landscape transformations",
              journal = "International Journal of Remote Sensing",
                 year = "2017",
               volume = "38",
               number = "8/10",
                pages = "2313--2330",
                month = "May",
             keywords = "Ecology, Metadata, Optical radar, Unmanned aerial vehicles 
                         (UAV).",
             abstract = "In this article, a robust unmanned aerial remote-sensing system, 
                         equipped with a survey-grade Lidar scanner and a multispectral 
                         camera system, assembled to study pre-Columbian Amazonian 
                         archaeology is presented. The data collected from this system will 
                         be utilized in a novel inter-disciplinary way by combining these 
                         data with in situ data collected by archaeologists, 
                         archaebotanists, paleoecologists, soil scientists, and landscape 
                         ecologists to study the nature and scale of the impact of 
                         pre-Columbian humans in transforming the landscapes of Amazonian 
                         rainforest. The outputs of this research will also inform future 
                         policy on the conservation, sustainability, and ecological state 
                         of the forest.",
                  doi = "10.1080/01431161.2017.1295486",
                  url = "http://dx.doi.org/10.1080/01431161.2017.1295486",
                 issn = "0143-1161",
             language = "en",
        urlaccessdate = "26 nov. 2020"
}


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