%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.52.57
%2 sid.inpe.br/marte2/2017/10.27.12.52.58
%@isbn 978-85-17-00088-1
%F 60222
%T Uso de imagens obtidas com veículo aéreo não tripulado (VANT) para verificação do indicador de cobertura do solo no monitoramento da restauração florestal
%D 2017
%A Silgueiro, Vinícius de Freitas,
%A Butturi, Weslei,
%A Bona, Diego Antônio Ottonelli de,
%A Muller, Eriberto Oliveira,
%A Barreto, Lucas Brasileiro,
%A Nunes, Gustavo Manzon,
%@electronicmailaddress vinicius.silgueiro@icv.org.br
%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 2940-2947
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X 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.
%9 VANTs, videografia e alta resolução
%@language pt
%3 60222.pdf