@InProceedings{SilgueiroBuBoMuBaNu:2017:UsImOb,
               author = "Silgueiro, Vin{\'{\i}}cius de Freitas and Butturi, Weslei and 
                         Bona, Diego Ant{\^o}nio Ottonelli de and Muller, Eriberto 
                         Oliveira and Barreto, Lucas Brasileiro and Nunes, Gustavo Manzon",
                title = "Uso de imagens obtidas com ve{\'{\i}}culo a{\'e}reo n{\~a}o 
                         tripulado (VANT) para verifica{\c{c}}{\~a}o do indicador de 
                         cobertura do solo no monitoramento da restaura{\c{c}}{\~a}o 
                         florestal",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2940--2947",
         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 = "The discussions about forest restoration have gained strength in 
                         the variability of restoration implementation methodologies and 
                         also in the monitoring allied to the new technologies. Considering 
                         that monitoring should be carried out independently of the 
                         selected restoration method, it is necessary to define indicators 
                         that can be used universally to evaluate the proposed objectives. 
                         The land cover presents a great potential to be raised by remote 
                         sensing. In this joint work, ICV and LabSensoR evaluated the 
                         potential of images obtained by UAVs to verify the indicator of 
                         land cover by woody species. The studied areas are located in a 
                         rural property in the municipality of Alta Floresta. The data were 
                         acquired using the DJI Phantom 4 platform, which allowed to obtain 
                         images with 4.5 centimeters of spatial resolution. The 
                         object-based image analysis (OBIA) was used to represent the land 
                         use and cover and was done using eCognition Developer software. 
                         The areas and percentages occupied by each class in each of the 
                         three restoration areas analyzed were calculated. The area 02 was 
                         the one that presented the greatest coverage by woody vegetation, 
                         with 94% of the coverage of the area as a whole. Areas 01 and 03 
                         presented cover for woody vegetation, with 63.5% and 64.2%, 
                         respectively. The present work demonstrates the possibility of 
                         effecting the monitoring of the areas in forest restoration using 
                         images obtained by UAVs. In addition, this method had the 
                         advantage of enabling the indicator to be accurately verified for 
                         the whole area under restoration.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60222",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLRGL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRGL",
           targetfile = "60222.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}