@InProceedings{BenagouroIkemCava:2017:UtImOb,
               author = "Benagouro, Cynthia Cardoso and Ikematsu, Priscila and Cavalhieri, 
                         Caio Pompeu",
                title = "Utiliza{\c{c}}{\~a}o de imagens obtidas por Ve{\'{\i}}culo 
                         A{\'e}reo N{\~a}o-Tripulado (VANT) para estimativa do desempenho 
                         de t{\'e}cnicas de prote{\c{c}}{\~a}o superficial do solo em 
                         {\'a}rea experimental no setor miner{\'a}rio",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1226--1232",
         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 = "Unmanned aerial vehicles (UAVs) can be used for environmental 
                         studies such as the monitoring of land cover changes. This paper 
                         aims to analyze the use of images taken by UAVs to assess the 
                         performance of techniques installed to prevent soil loss at an 
                         experimental mining site in Cajati-SP, Brazil. In doing so, aerial 
                         photos taken by UAVs during four monitoring campaigns were 
                         manually classified using ArcGIS 10.3.1 software. The photo 
                         interpretation consisted on georeferencing five rectangle areas, 
                         each of them with 130m2 (10 m wide and 13 m high), and classifying 
                         land cover data based on vectorization-based method. The results 
                         were satisfactory enough to show the decrease of bare soil areas 
                         after 12 months of experiments. Therefore, photo interpretation of 
                         land cover features based on aerial images from UAVs showed to be 
                         an useful technique to assess environmental indicators related to 
                         land use. However, its effectiveness is still conditioned by 
                         factors such as: weather conditions during UAVs flights, embedded 
                         lens and camera features, angle between slope and UAVs, number of 
                         images to be analyzed and extent of the area to be mapped.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59956",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GBU",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GBU",
           targetfile = "59956.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}