%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.13.56.12
%2 sid.inpe.br/marte2/2017/10.27.13.56.13
%@isbn 978-85-17-00088-1
%F 60224
%T Uso do índice MPRI na avaliação de processos de Restauração Florestal (RF) utilizando sensor RGB a bordo de VANT quadricóptero
%D 2017
%A Albuquerque, Rafael Walter,
%A Costa, Marcelo Oliveira,
%A Ferreira, Manuel Eduardo,
%A Jorge, Lúcio André de Castro,
%A Sarracini, Lucas Henrique,
%A Rosa, Edegar Oliveira,
%@electronicmailaddress r.w.albuquerque@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4795-4802
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X 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.
%9 VANTs, videografia e alta resolução
%@language pt
%3 60224.pdf