@InProceedings{AlbuquerqueCoFeJoSaRo:2017:UsÍnMP,
               author = "Albuquerque, Rafael Walter and Costa, Marcelo Oliveira and 
                         Ferreira, Manuel Eduardo and Jorge, L{\'u}cio Andr{\'e} de 
                         Castro and Sarracini, Lucas Henrique and Rosa, Edegar Oliveira",
                title = "Uso do {\'{\i}}ndice MPRI na avalia{\c{c}}{\~a}o de processos 
                         de Restaura{\c{c}}{\~a}o Florestal (RF) utilizando sensor RGB a 
                         bordo de VANT quadric{\'o}ptero",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4795--4802",
         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 = "Forest Restoration (FR) processes demand proper monitoring, 
                         traditionally performed by tecnicians who do specific inspections 
                         on fieldwork. As an alternative to the traditional fieldwork 
                         inspection methodology, satellite images have been used to 
                         evaluate FR processes. In this context, Unmanned Aerial Vehicles 
                         (UAVs) also emerge as an alternative to satellite images usage on 
                         FR monitoring, once they provide aerial images only on the area of 
                         interest, topographic data, ortomosaics without clouds and 
                         instantaneous temporal resolution. Nevertheless, many UAV models 
                         have high acquisition cost, suggesting that more studies should be 
                         done to evaluate and improve the information quality provided by 
                         low cost UAVs. Thus, this work aims to evaluate low cost UAVs 
                         potential on monitoring the quality of FR processes. To reach this 
                         objective, MPRI index was used and applied to three different FR 
                         quality degrees: Unsuccessful FR, Successful FR and Preserved 
                         Vegetation, which is a reference for FR processes. MPRI index 
                         indicated that Unsuccesfull FR, Succesfull FR and Preserved 
                         Vegetation respectively had 51%, 70% and 86% of their total area 
                         covered by healthy vegetation. Such values were considered 
                         consistent and showed good potential on low cost UAV usage for FR 
                         monitoring. Future work should then study statistic procedures 
                         that define numerical values capable of labelling the quality of 
                         FR processes on a specific Brazilian biome.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60224",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3N8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3N8",
           targetfile = "60224.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}