Fotogrametria com VANT aplicada em estudos ambientais rodoviários / Photogrammetry with UAV applied to environmental road studies
DOI:
https://doi.org/10.34117/bjdv8n2-426Keywords:
rodovias, fotogrametria, inventário florestal, curta distância, vant.Abstract
Com a finalidade de se investigar a aplicação da fotogrametria com VANT no âmbito de estudos técnicos e ambientais em rodovias, relacionadas às zonas livres, foram realizadas coletas de imagens com um quadricóptero e sensor embarcados em um veículo terrestre. Os objetivos específicos foram avaliar os resultados de (i) estimativa do diâmetro à altura do peito (DAP) e, respectivamente, a cada árvore selecionada, a (ii) estimativa de sua distância ao bordo da pista, estimativas essas oriundas de uma nuvem de pontos tridimensional gerada a partir das imagens oblíquas terrestres obtidas a curta distância. Para se efetivar as comparações das estimativas supracitadas, foram coletados os valores referentes à verdade de campo usando-se métodos e equipamentos tradicionais. Os resultados das comparações entre os dados estimados através da reconstrução 3D e daqueles pelos métodos convencionais, no âmbito do DAP e da distância ao bordo da pista, se mostraram promissores, com correlação estatística fortíssima e RMSE de 2,62 cm e 8 cm, respectivamente. Conquanto seja importante outros estudos com maior número de indivíduos envolvidos, os resultados apontam para uma possibilidade de aplicação, mesmo sendo um nicho pouco explorado por pesquisadores.
References
M. Jalayer et al., "Evaluation of Remote Sensing Technologies for Collecting Roadside Feature Data to Support Highway Safety Manual Implementation". J. Transp. Saf. Secur., 2015. 7(4), p. 345-357 DOI: 10.1080/19439962.2014.976691.
C. V. Zegeer et al., "Accident effects of sideslope and other roadside features on two-lane roads". Transp. Res. Record, 1988(1195).
ABNT, NBR 15486: Segurança no Tráfego – Dispositivos de contenção viária – Diretrizes, 2016, Associação Brasileira de Normas Técnicas: Rio de Janeiro. p. 27.
J. Fernandez Galarreta, N. Kerle, and M. Gerke, "UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning". Nat. Hazards Earth Syst. Sci., 2015. 15(6), p. 1087-1101.
M. J. Dávila-FernánDez, "Desindustrialização e o investimento em infraestrutura como instrumento conciliador de uma política industrial base no Brasil". Brazilian Journal of Political Economy, 2015. 35(3), p. 576-600.
M. C. Damião et al., "A gravidade dos acidentes com colisões em árvores: um estudo de caso". Pensamento & Realidade, 2012. 27(4).
BRASIL. Acidentes. Ministério da Justiça e Segurança Pública. Departamento de Polícia Rodoviária Federal. 2019 [cited 2020 16 jan. 2020]; Available from: https://www.prf.gov.br/portal/dados-abertos/acidentes.
K. A. Lechtenberg et al., "Cost-effective safety treatment of trees on low-volume rural roads". Transportation Research Record: Journal of the Transportation Research Board, 2015(2472), p. 194-202.
D. Panagiotidis et al., "Determining tree height and crown diameter from high-resolution UAV imagery". International Journal of Remote Sensing, 2017. 38(8-10), p. 2392-2410.
R. C. Goodman, O. L. Phillips, and T. R. Baker, "The importance of crown dimensions to improve tropical tree biomass estimates". Ecological Applications, 2014. 24(4), p. 680-698 DOI: doi:10.1890/13-0070.1.
CETESB. Aspectos correlacionados ao licenciamento. Autorização para Supressão de Vegetação Nativa / Intervenção em Áreas de Preservação Permanente 2018 [cited 2018 21 mar. 2018]; Available from: http:// licenciamento.cetesb.sp.gov.br/cetesb/intervencoes_doc_nativa.asp.
K. D. Johnson et al., "Integrating LIDAR and forest inventories to fill the trees outside forests data gap". Environmental Monitoring and Assessment, 2015. 187(10) DOI: 10.1007/s10661-015-4839-110.1029/2011jg001930.
R. d. P. Salomão, M. F. F. d. Silva, and N. d. A. Rosa, "Inventário ecológico em floresta pluvial tropical de terra firme, Serra Norte, Carajás, Pará". 1988.
J. F. Reinoso et al., "Cartography for Civil Engineering Projects: Photogrammetry Supported by Unmanned Aerial Vehicles". Iran. J. Sci. Technol.-Trans. Civ. Eng., 2018. 42(1), p. 91-96 DOI: 10.1007/s40996-017-0076-x.
A. Kwasniak and A. Kerezman, "Drones in Transportation Engineering: A Discussion of Current Drone Rules, Equipment, and Applications". ITE J.-Inst. Transp. Eng., 2017. 87(2), p. 40-43.
O. J. d. Campos, Cubagem de árvores, in Centro de Ciências Físicas e Matemáticas2014, Universidade Federal de Santa Catarina: Florianópolis - SC. p. 87.
M. Ahmed, C. T. Haas, and R. Haas, "Toward low-cost 3D automatic pavement distress surveying: The close range photogrammetry approach". Canadian Journal of Civil Engineering, 2011. 38(12), p. 1301-1313 DOI: 10.1139/l11-088.
A. Morales et al., "Energy analysis of road accidents based on close-range photogrammetry". Remote Sensing, 2015. 7(11), p. 15161-15178 DOI: 10.3390/rs71115161.
F. Cigna et al., "Mapping Ground Instability in Areas of Geotechnical Infrastructure Using Satellite InSAR and Small UAV Surveying: A Case Study in Northern Ireland". Geosciences, 2017. 7(3) DOI: 10.3390/geosciences7030051.
G. Gabara and P. Sawicki, "A new approach for inspection of selected geometric parameters of a railway track using image-based point clouds". Sensors (Switzerland), 2018. 18(3), p. 1-16 DOI: 10.3390/s18030791.
S. Minaeian, J. Liu, and Y. J. Son, "Effective and Efficient Detection of Moving Targets from a UAV's Camera". IEEE Transactions on Intelligent Transportation Systems, 2018. 19(2), p. 497-506 DOI: 10.1109/tits.2017.2782790.
E. Tomppo and M. Katila. "Satellite image-based national forest inventory of finland for publication in the igarss' 91 digest". in Geoscience and Remote Sensing Symposium, 1991. IGARSS'91. Remote Sensing: Global Monitoring for Earth Management., International. 1991. 3. p. 1141-1144. IEEE.
J. Hyyppä et al., "Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes". Forest Ecology and Management, 2000. 128(1), p. 109-120 DOI: https://doi.org/10.1016/S0378-1127(99)00278-9.
C. B. Liu et al., Monitoring remediation of temporary land use in road construction using remote sensing technique, in 2014 Third International Workshop on Earth Observation and Remote Sensing Applications, Q. Weng, et al., Editors. 2014, IEEE: New York. p. 185-189.
C. Cabo et al., "An Algorithm for Automatic Road Asphalt Edge Delineation from Mobile Laser Scanner Data Using the Line Clouds Concept". Remote Sensing, 2016. 8(9) DOI: 10.3390/rs8090740.
O. S. Ahmed, S. E. Franklin, and M. A. Wulder, "Integration of Lidar and Landsat Data to Estimate Forest Canopy Cover in Coastal British Columbia". Photogrammetric Engineering and Remote Sensing, 2014. 80(10), p. 953-961 DOI: 10.14358/pers.80.10.953.
J. I. Rejas et al., "Environment mapping using a 3D laser scanner for unmanned ground vehicles". Microprocessors and Microsystems, 2015. 39(8), p. 939-949 DOI: 10.1016/j.micpro.2015.10.003.
H. T. Berie and I. Burud, "Application of unmanned aerial vehicles in earth resources monitoring: focus on evaluating potentials for forest monitoring in Ethiopia". European Journal of Remote Sensing, 2018. 51(1), p. 326-335.
M. I. Smedley, R. Paulson, and A. Tucker, "Remote sensing for highway management of landslides". Proc. Inst. Civil Eng.-Geotech. Eng., 2009. 162(3), p. 141-150 DOI: 10.1680/geng.2009.162.3.141.
M. P. Huijser and A. V. Kociolek, "Wildlife-vehicle collision and crossing mitigation measures: a literature review for Blaine County, Idaho". Western Transportation Institute, Montana State University, Bozeman, 2008.
V. Jaren et al., "Moose-train collisions: the effects of vegetation removal with a cost-benefit analysis". Alces, 1991. 27(1), p. 93-99.
S. Lavsund and F. Sandegren, "Moose-vehicle relations in Sweden: a review". Alces, 1991. 27, p. 118-126.
H. P. Andreassen, H. Gundersen, and T. Storaas, "The effect of scent‐marking, forest clearing, and supplemental feeding on moose‐train collisions". The Journal of Wildlife Management, 2005. 69(3), p. 1125-1132.
I. d. P. R.-. IPR, Instruções de proteção ambiental das faixas de domínio e lindeiras das rodovias federais, D.N.d.I.d. Transportes, Editor 2005, IPR: Rio de Janeiro. p. 161.
J. Morgenroth and C. Gomez, "Assessment of tree structure using a 3D image analysis technique—A proof of concept". Urban For. Urban Green., 2014. 13(1), p. 198-203 DOI: https://doi.org/10.1016/j.ufug.2013.10.005.
B. Simental-Cano et al., "Species-specific and regional volume models for 12 forest species in Durango, Mexico". Revista Chapingo. Serie Ciencias Forestales y del Ambiente, 2017. 23(2).
U. Dieguez et al., "Dendrometría". Madrid, España, Mundiprensa, 2003.
E. Cienciala et al., "Discerning environmental factors affecting current tree growth in Central Europe". Science of the Total Environment, 2016. 573, p. 541-554 DOI: 10.1016/j.scitotenv.2016.08.115.
J. A. A. da SILVA and F. d. P. Neto, Princípios básicos de dendrometria1979, Recife - PE: UFRPE. 191.
N. Saarinen et al., "Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging". Remote Sensing, 2018. 10(2) DOI: 10.3390/rs10020338.
D. J. Kachamba et al., "Biomass estimation using 3D data from unmanned aerial vehicle imagery in a tropical woodland". Remote Sensing, 2016. 8(11), p. 968.
R. P. Breckenridge et al., "Comparison of unmanned aerial vehicle platforms for assessing vegetation cover in sagebrush steppe ecosystems". Rangeland Ecology and Management, 2011. 64(5), p. 521-532 DOI: 10.2111/rem-d-10-00030.1.
J. Y. Lin et al. "Monitoring Abandoned Dreg Fields of High-speed Railway Construction with UAV Remote Sensing Technology". in International Conference on Intelligent Earth Observing and Applications 2015. 2015. 9808. p. Bellingham: Spie-Int Soc Optical Engineering.
M. R. Osman and K. N. Tahar, "3D accident reconstruction using low-cost imaging technique". Advances in Engineering Software, 2016. 100, p. 231-237 DOI: 10.1016/j.advengsoft.2016.07.007.
H. J. Miller and S. L. Shaw, "Geographic Information Systems for Transportation in the 21st Century". Geography Compass, 2015. 9(4), p. 180-189 DOI: doi:10.1111/gec3.12204.
R. Beger et al., "Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction". ISPRS Journal of Photogrammetry and Remote Sensing, 2011. 66(6), p. S40-S51 DOI: 10.1016/j.isprsjprs.2011.09.012.
S. Ullman, "The interpretation of structure from motion". Proceedings of the Royal Society of London. Series B. Biological Sciences, 1979. 203(1153), p. 405-426.
S. M. Seitz et al. "A comparison and evaluation of multi-view stereo reconstruction algorithms". in 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06). 2006. 1. p. 519-528. IEEE.
A. Gaich and M. Pötsch, "3D images for data collection in tunnelling - applications and latest developments / 3D-Bilder für die Datenerfassung im Tunnelbau - Anwendung und aktuelle Entwicklungen". Geomechanik und Tunnelbau, 2015. 8(6), p. 581-588 DOI: 10.1002/geot.201500041.
B. Soheilian, N. Paparoditis, and D. Boldo, "3D road marking reconstruction from street-level calibrated stereo pairs". ISPRS Journal of Photogrammetry and Remote Sensing, 2010. 65(4), p. 347-359 DOI: 10.1016/j.isprsjprs.2010.03.003.
S. Zhang et al., "Characterizing Pavement Surface Distress Conditions with Hyper-Spatial Resolution Natural Color Aerial Photography". Remote Sensing, 2016. 8(5) DOI: 10.3390/rs8050392.
L. H. C. Branco and P. C. L. Segantine, MaNIAC-UAV - a methodology for automatic pavement defects detection using images obtained by Unmanned Aerial Vehicles, in 4th International Conference on Mathematical Modeling in Physical Sciences, E.C. Vagenas, et al., Editors. 2015, Iop Publishing Ltd: Bristol.
B. V. Sokolov et al., Complex Objects Remote Sensing Monitoring and Modeling: Methodology, Technology and Practice, in 2013 8th Eurosim Congress on Modelling and Simulation, K. AlBegain, et al., Editors. 2013, Ieee: New York. p. 443-447.
G. Gigli et al., "3-D geomechanical rock mass characterization for the evaluation of rockslide susceptibility scenarios". Landslides, 2014. 11(1), p. 131-140 DOI: 10.1007/s10346-013-0424-2.
S. Sushant et al., Localization of an Unmanned Aerial Vehicle for Crack Detection in Railway Tracks. 2017 International Conference on Advances in Computing, Communications and Informatics2017, New York: Ieee. 1360-1365.
E. Yanmaz et al., "Drone networks: Communications, coordination, and sensing". Ad Hoc Networks, 2018. 68, p. 1-15 DOI: https://doi.org/10.1016/j.adhoc.2017.09.001.
S. Sushant et al., Localization of an Unmanned Aerial Vehicle for Crack Detection in Railway Tracks, in 2017 International Conference on Advances in Computing, Communications and Informatics2017, Ieee: New York. p. 1360-1365.
M. C. C. Werkema, Ferramentas estatísticas básicas para o gerenciamento de processos. 1ª ed2006, Belo Horizonte - MG: Werkema Editora. 302.
