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Research Article

Cork oak woodland land-cover types classification: a comparison between UAV sensed imagery and field survey

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Pages 7649-7659 | Received 01 Dec 2019, Accepted 04 May 2020, Published online: 29 Jul 2020

References

  • Acácio, V., and M. Holmgren. 2014. “Pathways for Resilience in Mediterranean Cork Oak Land Use Systems.” Annals of Forest Science 71 (1): 5–13. doi:10.1007/s13595-012-0197-0.
  • APCOR (Associação Portuguesa da Cortiça) [Portuguese Cork Association]. 2018. “Cork Oak Forest.” In Cork, 14. Santa Maria de Lamas.
  • Baena, S., J. Moat, O. Whaley, and D. S. Boyd. 2017. “Identifying Species from the Air: UAVs and the Very High Resolution Challenge for Plant Conservation.” PloS One 12 (11): e0188714. doi:10.1371/journal.pone.0188714.
  • Baxendale, C. L., N. J. Ostle, C. M. Wood, S. Oakley, and S. E. Ward. 2016. “Can Digital Image Classification Be Used as a Standardised Method for Surveying Peatland Vegetation Cover?” Ecological Indicators 68: 150–156. doi:10.1016/j.ecolind.2015.11.035.
  • Chianucci, F., L. Disperati, D. Guzzi, D. Bianchini, V. Nardino, C. Lastri, A. Rindinella, and P. Corona. 2016. “Estimation of Canopy Attributes in Beech Forests Using True Colour Digital Images from a Small Fixed-wing UAV.” International Journal of Applied Earth Observation and Geoinformation 47: 60–68. doi:10.1016/j.jag.2015.12.005.
  • Congedo, L. 2016. “Semi-Automatic Classification Plugin Documentation. Release 6.0.1.1.” doi: 10.13140/RG.2.2.29474.02242/1.
  • De Luca, G., J. M. N. Silva, S. Cerasoli, J. Araújo, J. Campos, S. Di Fazio, and G. Modica. 2019. “Object-Based Land Cover Classification of Cork Oak Woodlands Using UAV Imagery and Orfeo ToolBox.” Remote Sensing 11 (10): 1238. doi:10.3390/rs11101238.
  • Enderle, D. I. M., and R. C. Weih Jr. 2005. “Integrating Supervised and Unsupervised Classification Methods to Develop a More Accurate Land Cover Classification.” Journal of the Arkansas Academy of Science 59 (10): 65–73.
  • ENVI. 2008. “ENVI Feature Extraction Module User’s Guide”.
  • Franklin, S. E. 2018. “Pixel- and Object-based Multispectral Classification of Forest Tree Species from Unmanned Aerial Vehicles.” Journal of Unmanned Vehicle Systems 6 (4): 195–211. doi:10.1139/juvs-2017-0022.
  • Fu, Y., H. S. He, T. J. Hawbaker, P. D. Henne, Z. Zhu, and D. R. Larsen. 2019. “Evaluating k-Nearest Neighbor (Knn) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China.” Remote Sensing 17 (11): 20. doi:10.3390/rs11172005.
  • Gao, Y., and J. F. Mas. 2008. “A Comparison of the Performance of Pixel-Based and Object-Based Classifications over Images with Various Spatial Resolutions.” Online Journal of Earth Sciences 2 (1): 27–35.
  • Heydari, S. S., and G. Mountrakis. 2018. “Effect of Classifier Selection, Reference Sample Size, Reference Class Distribution and Scene Heterogeneity in Per-pixel Classification Accuracy Using 26 Landsat Sites.” Remote Sensing of Environment 204: 648–658.
  • Intergovernmental Panel on Climate Change. 2014. “Climate Change 2014: Synthesis Report”. In Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by The Core Writing Team R. K. Pachauri, and L. A. Meyer, 151. Geneva, Switzerland: IPCC.
  • Kent, M., and P. Coker. 1992. Vegetation Description and Analysis: A Practical Approach. Chichester: John Wiley & Sons.
  • Kim, J., B. S. Kim, and S. Savarese. 2012. “Comparing Image Classification Methods: K-Nearest-Neighbor and Support-Vector-Machines.” Computer Science 133–138. ISBN: 978-1-61804-064-0
  • Kim, S. R., W. K. Lee, D. A. Kwak, G. S. Biging, P. Gong, J. H. Lee, and H. K. Cho. 2011. “Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery.” Sensors 11 (2): 1943–1958. doi:10.3390/s110201943.
  • Köhl, M. 2013. “New Approaches for Multi Resource Forest Inventories.” In Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring, edited by P. Corona, M. Köhl, and M. Marchetti, 1–16, Forestry Sciences, Dordrecht, The Netherlands: Springer Science & Business Media.
  • Marañón, T., B. Ibáñez, M. Anaya-Romero, M. Muñoz-Rojas, and I. M. Pérez-Ramos. 2012. “Oak Trees and Woodlands Providing Ecosystem Services in Southern Spain.” Paper presented at the conference Trees beyond the Wood, Sheffield, Hallam University (UK), September 5–7.
  • Modica, G., M. Pollino, and F. Solano. 2019. “Sentinel-2 Imagery for Mapping Cork Oak (Quercus suber L.) Distribution in Calabria (Italy): Capabilities and Quantitative Estimation.” In New Metropolitan Perspectives, edited by F. Calabrò, L. Della Spina, and C. Bevilacqua, 60–67, Cham, Switzerland: Springer. doi:10.1007/978-3-319-92099-3_8.
  • Nunes, A., S. Tápia, P. Pinho, O. Correia, and C. Branquinho. 2014. “Advantages of the Point-intercept Method for Assessing Functional Diversity in Semi-arid Areas.” iForest - Biogeosciences and Forestry 8 (4): 471–479. doi:10.3832/ifor1261-007.
  • Pádua, L., J. Hruška, J. Bessa, T. Adão, L. M. Martins, J. A. Gonçalves, E. Peres, A. M. R. Sousa, J. P. Castro, and J. J. Sousa. 2017. “Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs.” Remote Sensing 10 (1): 24. doi:10.3390/rs10010024.
  • Pande-Chhetri, R., A. Abd-Elrahman, T. Liu, J. Morton, and V. L. Wilhelm. 2017. “Object-based Classification of Wetland Vegetation Using Very High-resolution Unmanned Air System Imagery.” European Journal of Remote Sensing 50 (1): 564–576. doi:10.1080/22797254.2017.1373602.
  • Peñuelas, J., J. Sardans, I. Filella, M. Estiarte, J. Llusià, R. Ogaya, J. Carnicer, et al. 2017. “Impacts of Global Change on Mediterranean Forests and Their Services.” Forests 8 (12): 463. doi:10.3390/f8120463.
  • Phan, T. N., and M. Kappas. 2017. “Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery.” Sensors 18 (1): 18. doi:10.3390/s18010018.
  • Richards, J. A., and X. Jia. 2006. Remote Sensing Digital Image Analysis: An Introduction. Berlin: Springer.
  • Robinson, D. J., N. J. Redding, and D. J. Crisp. 2002. “Implementation of a Fast Algorithm for Segmenting SAR Imagery.” DSTO-TR-1242, 012–076, DSTO Electronics and Surveillance Research Laboratory. Edinburgh, Australia, 5111.
  • Sedda, L., G. Delogu, and S. Dettori. 2011. “Forty-Four Years of Land Use Changes in a Sardinian Cork Oak Agro-Silvopastoral System: A Qualitative Analysis.” The Open Forest Science Journal 411 (57): 57–66. doi:10.2174/1874398601104010057.
  • Sibaruddin, H. I., H. Z. M. Shafri, B. Pradhan, and N. A. Haron. 2018. “Comparison of Pixel-based and Object-based Image Classification Techniques in Extracting Information from UAV Imagery Data.” IOP Conference Series: Earth and Environmental Science 169: 1. doi:10.1088/1755-1315/169/1/012098.
  • Surový, P., N. A. Ribeiro, and D. Panagiotidis. 2018. “Estimation of Positions and Heights from UAV-sensed Imagery in Tree Plantations in Agrosilvopastoral Systems.” International Journal of Remote Sensing 39 (14): 4786–4800. doi:10.1080/01431161.2018.1434329.
  • Vogiatzakis, I. N., and M. B. Careddu. 2003. “Mapping the Distribution and Extent of Quercus Suber Habitats in Sardinia: A Literature Review and a Proposed Methodology.” Geographical Paper (171).
  • Yu, Q., P. Gong, N. Clinton, G. Biging, M. Kelly, and D. Schirokauer. 2006. “Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery.” Photogrammetric Engineering and Remote Sensing 72 (7): 799–811. doi:10.14358/PERS.72.7.799.

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