Comparison of UAS photogrammetric products for tree detection and characterization of coniferous stands

References

• Ahmed, O. S. , A. Shemrock , D. Chabot , C. Dillon , G. Williams , R. Wasson , and S. E. Franklin . 2017. “Hierarchical Land Cover and Vegetation Classification Using Multispectral Data Acquired from an Unmanned Aerial Vehicle.” International Journal of Remote Sensing 38 (8–10): 2037–2052.
   Web of Science ®Google Scholar
• Anderson, K. , and K. J. Gaston . 2013. “Lightweight Unmanned Aerial Vehicles Will Revolutionize Spatial Ecology.” Frontiers in Ecology and the Environment 11: 138–146. doi:10.1890/120150.
   Web of Science ®Google Scholar
• André, A. C. , J.-P. Renaud , C. Véga , A. Munoz , J. Bock , and L. Saint-André . 2015. “Apport De Variables Issues De La Segmentation D’arbres Sur Données Lidar Aéroporté Pour L’estimation Des Variables Dendrométriques De Placettes Forestières.” Revue Française De Photogrammétrie Et Télédétection 211–212: 53–61.
   Google Scholar
• Baltsavias, E. , A. Gruen , H. Eisenbeiss , L. Zhang , and L. T. Waser . 2008. “High-Quality Image Matching and Automated Generation of 3D Tree Models.” International Journal of Remote Sensing 29 (5): 1243–1259. doi:10.1080/01431160701736513.
   Web of Science ®Google Scholar
• Bohlin, J. , J. Wallerman , and J. E. S. Fransson . 2012. “Forest Variable Estimation Using Photogrammetric Matching of Digital Aerial Images in Combination with a High-Resolution DEM.” Scandinavian Journal of Forest Research 27 (7): 692–699. doi:10.1080/02827581.2012.686625.
   Web of Science ®Google Scholar
• Bouvier, M. , S. Durrieu , R. A. Fournier , and J.-P. Renaud . 2015. “Generalizing Predictive Models of Forest Inventory Attributes Using an Area-Based Approach with Airborne Lidar Data.” Remote Sensing of Environment 156: 322–334. doi:10.1016/j.rse.2014.10.004.
   Web of Science ®Google Scholar
• Chen, Q. 2013. “Lidar Remote Sensing of Vegetation Biomass.” Remote Sensing of Natural Resources 399: 399–420.
   Google Scholar
• Colomina, I. , and P. Molina . 2014. “Unmanned Aerial Systems for Photogrammetry and Remote Sensing: A Review.” ISPRS Journal of Photogrammetry and Remote Sensing 92: 79–97. doi:10.1016/j.isprsjprs.2014.02.013.
   Web of Science ®Google Scholar
• Dagnelie, P. , R. Palm , J. Rondeux , and A. Thill . 1999. Tables De Cubage Des Arbres Et Des Peuplements Forestiers . Les Presses agronomiques de Gembloux, Gembloux, Belgium.
   Google Scholar
• Dandois, J. P. , M. Olano , and E. C. Ellis . 2015. “Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure.” Remote Sensing 7 (10): 13895–13920. doi:10.3390/rs71013895.
   Web of Science ®Google Scholar
• Drauschke, M. , J. Bartelsen , and P. Reidelstuerz . 2014. “Towards UAV-Based Forest Monitoring.” In Proceedings of the Workshop on UAV-Based Remote Sensing Methods for Monitoring Vegetation , In Juliane Bendig und Georg Bareth (Hrsg.), 21–32. Köln, Germany: Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten.
   Google Scholar
• Duarte, L. , A. C. Teodoro , O. Moutinho , and J. A. Gonçalves . 2016. “Open-Source GIS Application for UAV Photogrammetry Based on Micmac.” International Journal of Remote Sensing 1–22. doi:10.1080/01431161.2016.1259685.
   Web of Science ®Google Scholar
• Fox, J. , and S. Weisberg . 2011. An R Companion to Applied Regression . 2nd ed. Thousand Oaks CA: Sage. http://socserv.socsci.mcmaster.ca/jfox/Books/Companion.
   Google Scholar
• Fritz, A. , T. Kattenborn , and B. Koch . 2013. “Uav-Based Photogrammetric Point Clouds - Tree STEM Mapping in Open Stands in Comparison to Terrestrial Laser Scanner Point Clouds.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , no. 2: 141–146. doi:10.5194/isprsarchives-XL-1-W2-141-2013.
   Google Scholar
• Gatewing . 2012. X100 UAS - X100 System Manual . Gent, Belgium: Gatewing.
   Google Scholar
• Geneq Inc . 2012. Sxblue II GPS Series - Technical Reference Manual (V 2.3) . Montréal, Canada: Geneq.
   Google Scholar
• Genuer, R. , J.-M. Poggi , and C. Tuleau-Malot . 2014. VSURF: Variable Selection Using Random Forests . R package version 0.8.1, Accessed 9 June 2016. http://CRAN.R-project.org/package=VSURF.
   Google Scholar
• Getzin, S. , R. S. Nuske , and K. Wiegand . 2014. “Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests.” Remote Sensing 6 (8): 6988–7004. doi:10.3390/rs6086988.
   Web of Science ®Google Scholar
• Getzin, S. , K. Wiegand , and I. Schöning . 2012. “Assessing Biodiversity in Forests Using Very High-Resolution Images and Unmanned Aerial Vehicles.” Methods in Ecology and Evolution 3 (2): 397–404. doi:10.1111/j.2041-210X.2011.00158.x.
   Web of Science ®Google Scholar
• Hyyppä, J. , H. Hyyppä , X. Yu , H. Kaartinen , A. Kukko , and M. Holopainen . 2009. “Forest Inventory Using Small-Footprint Airborne Lidar.” In Topographic Laser Ranging and Scanning: Principles and Processing , 335–370, edited by Jie Shan , Jie Shan , Charles K. Toth , and Charles K. Toth . Portland, OR, USA: CRC/Taylor &Francis, Book News, .
   Google Scholar
• Järnstedt, J. , A. Pekkarinen , S. Tuominen , C. Ginzler , M. Holopainen , and R. Viitala . 2012. “Forest Variable Estimation Using a High-Resolution Digital Surface Model.” ISPRS Journal of Photogrammetry and Remote Sensing 74: 7884. doi:10.1016/j.isprsjprs.2012.08.006.
   Web of Science ®Google Scholar
• Junttila, V. , T. Kauranne , A. O. Finley , and J. B. Bradford . 2015. “Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory with Small Field Sample Size and Highly Correlated Lidar Data.” IEEE Transactions on Geoscience and Remote Sensing 53 (10): 5600–5612. doi:10.1109/TGRS.2015.2425916.
   Web of Science ®Google Scholar
• Kempeneers, P. , L. Bertels , K. Vreys , and J. Biesemans . 2013. “Geometric Errors of Remote Sensing Images over Forest and Their Propagation to Bidirectional Studies.” IEEE Geoscience and Remote Sensing Letters 10 (6): 1459–1463. doi:10.1109/LGRS.2013.2260129.
   Web of Science ®Google Scholar
• Liaw, A. , and M. Wiener . 2002. “Classification and Regression by Randomforest.” R News 2 (3): 18–22.
   Google Scholar
• Linchant, J. , J. Lisein , J. Semeki , P. Lejeune , and C. Vermeulen . 2015. “Are Unmanned Aircraft Systems (Uass) the Future of Wildlife Monitoring? A Review of Accomplishments and Challenges.” Mammal Review 45 (4): 239–252. doi:10.1111/mam.12046.
   Web of Science ®Google Scholar
• Lisein, J. , A. Michez , H. Claessens , and P. Lejeune . 2015. “Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery.” Plos One 10 (11): e0141006. doi:10.1371/journal.pone.0141006.
   PubMed Web of Science ®Google Scholar
• Lisein, J. , M. Pierrot-Deseilligny , S. Bonnet , and P. Lejeune . 2013. “A Photogrammetric Workflow for the Creation of A Forest Canopy Height Model from Small Unmanned Aerial System Imagery.” Forests 4 (4): 922–944. doi:10.3390/f4040922.
   Web of Science ®Google Scholar
• Loetsch, F. , F. Zöhrer , and K. Haller . 1973. Forest Inventory. Vol. II . München: BLV Verlagsgesellschaft.
   Google Scholar
• Lu, X. , Q. Guo , W. Li , and J. Flanagan . 2014. “A Bottom-Up Approach to Segment Individual Deciduous Trees Using Leaf-Off Lidar Point Cloud Data.” ISPRS Journal of Photogrammetry and Remote Sensing 94: 1–12. doi:10.1016/j.isprsjprs.2014.03.014.
   Web of Science ®Google Scholar
• Lumley, T. , and A. Miller . 2009. Leaps: Regression Subset Selection . R package version 2.9, Accessed 13 June 2016. http://CRAN.R-project.org/package=leaps.
   Google Scholar
• Maltamo, M. , E. Næsset , and J. Vauhkonen . 2014. “Forestry Applications of Airborne Laser Scanning.” Concepts and Case Studies. Manag for Ecosys 27: 2014.
   Google Scholar
• Michez, A. , H. Piégay , J. Lisein , H. Claessens , and P. Lejeune . 2016a. “Classification of Riparian Forest Species and Health Condition Using Multi-Temporal and Hyperspatial Imagery from Unmanned Aerial System.” Environmental Monitoring and Assessment 188 (3): 1–19. doi:10.1007/s10661-015-4996-2.
   PubMed Web of Science ®Google Scholar
• Michez, A. , H. Piégay , J. Lisein , H. Claessens , and P. Lejeune . 2016b. “Mapping of Riparian Invasive Species with Supervised Classification of Unmanned Aerial System (UAS) Imagery.” International Journal of Applied Earth Observation and Geoinformation 44: 88–94. doi:10.1016/j.jag.2015.06.014.
   Web of Science ®Google Scholar
• Milas, A. S. , K. Arend , C. Mayer , M. A. Simonson , and S. Mackey . 2017. “Different Colours of Shadows: Classification of UAV Images.” International Journal of Remote Sensing 1–17. doi:10.1080/01431161.2016.1274449.
   Web of Science ®Google Scholar
• Monnet, J.-M. , E. Mermin , J. Chanussot , and F. Berger . 2010. “Tree Top Detection Using Local Maxima Filtering: A Parameter Sensitivity Analysis.” In 10th International Conference on Lidar Applications for Assessing Forest Ecosystems (Silvilaser 2010) , Barbara Koch, Gerald Kändler. 9–p. Freiburg: Germany.
   Google Scholar
• Perin, J. , J. Hébert , Y. Brostaux , P. Lejeune , and H. Claessens . 2013. “Modelling the Top-Height Growth and Site Index of Norway Spruce in Southern Belgium.” Forest Ecology and Management 298: 62–70. doi:10.1016/j.foreco.2013.03.009.
   Web of Science ®Google Scholar
• Pierrot-Deseilligny, M. 2016. “Micmac Documentation: Micmac, Apero, Pastis and Other Beverages in a Nutshell! ” Accessed 2014-06-03 . http://logiciels.ign.fr/?-Micmac,3-.
   Google Scholar
• Pierrot-Deseilligny, M. , and I. Clery . 2011. “Apero, an Open Source Bundle Adjusment Software for Automatic Calibration and Orientation of Set of Images.” In Proceedings of the ISPRS Symposium, 3DARCH11, Trento 2011 Workshop, Vol. XXXVIII-5/W16, Trento, Italy.
   Google Scholar
• Pierrot-Deseilligny, M. , and N. Paparoditis . 2006. “A Multiresolution and Optimization-Based Image Matching Approach: An Application to Surface Reconstruction from SPOT5-HRS Stereo Imagery.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36: 1/W41.
   Google Scholar
• Pineux, N. , J. Lisein , G. Swerts , C. L. Bielders , P. Lejeune , G. Colinet , and A. Degré . 2017. “Can DEM Time Series Produced by UAV Be Used to Quantify Diffuse Erosion in an Agricultural Watershed?” Geomorphology 280: 122–136. doi:10.1016/j.geomorph.2016.12.003.
   Web of Science ®Google Scholar
• Pitt, D. G. , M. Woods , and M. Penner . 2014. “A Comparison of Point Clouds Derived from Stereo Imagery and Airborne Laser Scanning for the Area-Based Estimation of Forest Inventory Attributes in Boreal Ontario.” Canadian Journal of Remote Sensing 40 (3): 214–232. doi:10.1080/07038992.2014.958420.
   Web of Science ®Google Scholar
• Puliti, S. , H. O. Ørka , T. Gobakken , and E. Næsset . 2015. “Inventory of Small Forest Areas Using an Unmanned Aerial System.” Remote Sensing 7 (8): 9632. doi:10.3390/rs70809632.
   Web of Science ®Google Scholar
• R Development Core Team . 2015. R: A Language and Environment for Statistical Computing . Vienna, Austria: R Foundation for Statistical Computing. ISBN 3-900051-07-0 http://www.R-project.org/
   Google Scholar
• Rocchini, D. , and A. Di Rita . 2005. “Relief Effects on Aerial Photos Geometric Correction.” Applied Geography 25 (2): 159–168. doi:10.1016/j.apgeog.2005.03.002.
   Web of Science ®Google Scholar
• St-Onge, B. , P. Treitz , and M. A. Wulder . 2003. “Tree and Canopy Height Estimation with Scanning Lidar.” In Remote Sensing of Forest Environments , edited by Michael A. Wulder , Steven E. Franklin , 489–509. Springer US: Springer.
   Google Scholar
• Straub, C. , C. Stepper , R. Seitz , and L. T. Waser . 2013. “Potential of Ultracamx Stereo Images for Estimating Timber Volume and Basal Area at the Plot Level in Mixed European Forests.” Canadian Journal of Forest Research 43 (8): 731–741. doi:10.1139/cjfr-2013-0125.
   Web of Science ®Google Scholar
• Tanhuanpää, T. , N. Saarinen , V. Kankare , K. Nurminen , M. Vastaranta , E. Honkavaara , M. Karjalainen , X. Yu , M. Holopainen , and J. Hyyppä . 2016. “Evaluating the Performance of High-Altitude Aerial Image-Based Digital Surface Models in Detecting Individual Tree Crowns in Mature Boreal Forests.” Forests 7 (7): 143. doi:10.3390/f7070143.
   Web of Science ®Google Scholar
• Tibshirani, R. , and F. Leisch . 2013. Bootstrap: Functions for the Book “An Introduction to the Bootstrap” . R package version 2012.04-1, Accessed 13 June 2016. http://CRAN.R-project.org/package=bootstrap.
   Google Scholar
• Tuominen, S. , A. Balazs , H. Saari , I. Pölönen , J. Sarkeala , and R. Viitala . 2015. “Unmanned Aerial System Imagery and Photogrammetric Canopy Height Data in Area-Based Estimation of Forest Variables.” Silva Fennica 49: 5. doi:10.14214/sf.1348.
   Web of Science ®Google Scholar
• Vastaranta, M. , M. A. Wulder , J. C. White , A. Pekkarinen , S. Tuominen , C. Ginzler , V. Kankare , M. Holopainen , J. Hyyppä , and H. Hyyppä . 2013. “Airborne Laser Scanning and Digital Stereo Imagery Measures of Forest Structure: Comparative Results and Implications to Forest Mapping and Inventory Update.” Canadian Journal of Remote Sensing 39 (5): 382–395.
   Web of Science ®Google Scholar
• Véga, C. , and S. Durrieu . 2011. “Multi-Level Filtering Segmentation to Measure Individual Tree Parameters Based on Lidar Data: Application to a Mountainous Forest with Heterogeneous Stands.” International Journal of Applied Earth Observation and Geoinformation 13 (4): p. 646 – p. 656. doi:10.1016/j.jag.2011.04.002.
   Web of Science ®Google Scholar
• Véga, C. , A. Hamrouni , S. El Mokhtari , J. Morel , J. Bock , J.-P. Renaud , M. Bouvier , and S. Durrieu . 2014. “Ptrees: A Point-Based Approach to Forest Tree Extraction from Lidar Data.” International Journal of Applied Earth Observation and Geoinformation 33: 98–108. doi:10.1016/j.jag.2014.05.001.
   Web of Science ®Google Scholar
• Vermeulen, C. , P. Lejeune , J. Lisein , P. Sawadogo , and P. Bouché . 2013. “Unmanned Aerial Survey of Elephants.” Plos One 8 (2): e54700. doi:10.1371/journal.pone.0054700.
   PubMed Web of Science ®Google Scholar
• Wallace, L. , A. Lucieer , Z. Malenovský , D. Turner , and P. Vopěnka . 2016. “Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (Sfm) Point Clouds.” Forests 7 (3): 62. doi:10.3390/f7030062.
   Web of Science ®Google Scholar
• Westoby, M. J. , J. Brasington , N. F. Glasser , M. J. Hambrey , and J. M. Reynolds . 2012. “Structure-From-Motion Photogrammetry: A Low-Cost, Effective Tool for Geoscience Applications.” Geomorphology 179: 300–314. doi:10.1016/j.geomorph.2012.08.021.
   Web of Science ®Google Scholar
• White, J. C. , C. Stepper , P. Tompalski , N. C. Coops , and M. A. Wulder . 2015. “Comparing ALS and Image-Based Point Cloud Metrics and Modelled Forest Inventory Attributes in a Complex Coastal Forest Environment.” Forests 6 (10): 3704–3732. doi:10.3390/f6103704.
   Web of Science ®Google Scholar
• White, J. C. , M. A. Wulder , A. Varhola , M. Vastaranta , N. C. Coops , B. D. Cook , D. Pitt , and M. Woods . 2013a. “A Best Practices Guide for Generating Forest Inventory Attributes from Airborne Laser Scanning Data Using an Area-Based Approach.” The Forestry Chronicle 89 (6): 722–723. doi:10.5558/tfc2013-132.
   Web of Science ®Google Scholar
• White, J. C. , M. A. Wulder , M. Vastaranta , N. C. Coops , D. Pitt , and M. Woods . 2013b. “The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning.” Forests 4 (3): 518–536. doi:10.3390/f4030518.
   Web of Science ®Google Scholar
• Whitehead, K. , and C. H. Hugenholtz . 2014. “Remote Sensing of the Environment with Small Unmanned Aircraft Systems (Uass), Part 1: A Review of Progress and Challenges 1.” Journal of Unmanned Vehicle Systems 2 (3): 69–85. doi:10.1139/juvs-2014-0006.
   Google Scholar
• Whitehead, K. , C. H. Hugenholtz , S. Myshak , O. Brown , A. LeClair , A. Tamminga , T. E. Barchyn , B. Moorman , and B. Eaton . 2014. “Remote Sensing of the Environment with Small Unmanned Aircraft Systems (Uass), Part 2: Scientific and Commercial Applications 1.” Journal of Unmanned Vehicle Systems 2 , no. 3: 86–102. doi:10.1139/juvs-2014-0007.
   Google Scholar
• Wu, C. 2014. “Critical Configurations for Radial Distortion Self-Calibration.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 25–32. Washington, USA: IEEE Computer Society.
   Google Scholar
• Wulder, M. A. , C. W. Bater , N. C. Coops , T. Hilker , and J. C. White . 2008. “The Role of Lidar in Sustainable Forest Management.” The Forestry Chronicle 84 (6): 807–826. doi:10.5558/tfc84807-6.
   Web of Science ®Google Scholar
• Zeileis, A. , and T. Hothorn . 2002. “Diagnostic Checking in Regression Relationships.” R News 2 (3): 7–10. http://CRAN.R-project.org/doc/Rnews/.
   Google Scholar