Terrestrial structure from motion photogrammetry for deriving forest inventory data

Remote Sensing

Volumn 11, Issue 8, 2019, Pages

  Piermattei, Livia ^a,b   Karel, Wilfried ^a   Wang, Di ^a,c   Wieser, Martin ^a   Mokroš, Martin ^d   Surový, Peter ^d   Koreň, Milan ^e   Tomaštík, Julián ^e   Pfeifer, Norbert ^a   Hollaus, Markus ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b CATHOLIC UNIVERSITY OF EICHSTÄTT INGOLSTADT   (Germany)

^c AALTO UNIVERSITY   (Finland)

^d CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE   (Czech Republic)

^e TECHNICAL UNIVERSITY IN ZVOLEN   (Slovakia)

Author keywords

Diameter at breast height; Plot based forest inventory; Structure from motion; Terrestrial laser scanning; Terrestrial photogrammetry

Indexed keywords

LASER APPLICATIONS; MEDICAL IMAGING; PHOTOGRAMMETRY; REMOTE SENSING; SEEBECK EFFECT; STEEL BEAMS AND GIRDERS; SURVEYING INSTRUMENTS;

DIAMETER-AT-BREAST HEIGHTS; FOREST INVENTORY; STRUCTURE FROM MOTION; TERRESTRIAL LASER SCANNING; TERRESTRIAL PHOTOGRAMMETRIES;

FORESTRY;

EID: 85065047023     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11080933     Document Type: Article

References (55)

1. Ridder, R.M. Global Forest Resources Assessment 2010: Options and Recommendations for a Global Remote Sensing Survey of Forests. FAO Forest Resource Assessment. Programme Work. 2007, p. 141. Available online: http://www.fao.org/3/a-ai074e.pdf (accessed on 19 April 2019)
2. Van Laar, A.; Akça, A. Forest Mensuration; Springer: Dordrecht, The Netherlands, 2007; Volume 13, pp. 360-383
3. Newnham, G.J.; Armston, J.D.; Calders, K.; Disney, M.I.; Lovell, J.L.; Schaaf, C.B.; Strahler, A.H.; Danson, F.M. Terrestrial laser scanning for plot-scale forest measurement. Curr. For. Rep. 2015, 1, 239-251
4. Wallace, L.; Lucieer, A.; Malenovský, Z.; Turner, D.; Vopěnka, P. Assessment of forest structure using two UAV techniques: A comparison of airborne laser scanning and structure from motion (SfM) point clouds. Forests 2016, 7, 62
5. Liang, X.; Kukko, A.; Hyyppä, J.; Lehtomäki, M.; Pyörälä, J.; Yu, X.; Kaartinen, H.; Jaakkola, A.; Wang, Y. In-situ measurements from mobile platforms: An emerging approach to address the old challenges associated with forest inventories. ISPRS J. Photogramm. Remote Sens. 2018, 143, 97-107
6. Liang, X.; Hyyppä, J.; Kaartinen, H.; Lehtomäki, M.; Pyörälä, J.; Pfeifer, N.; Holopainen, M.; Brolly, G.; Francesco, P.; Hackenberg, J.; et al. International benchmarking of terrestrial laser scanning approaches for forest inventories. ISPRS J. Photogramm. Remote Sens. 2018, 144, 137-179
7. Miller, J.M. Estimation of Individual Tree Metrics Using Structure-From-Motion Photogrammetry; University of Canterbury: Christchurch, UK, 2015; 99p
8. Latifi, H.; Fassnacht, F.E.; Müller, J.; Tharani, A.; Dech, S.; Heurich, M. Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. Int. J. Appl. Earth Obs. Geoinf. 2015, 42, 162-174
9. Liang, X.; Kankare, V.; Yu, X.; Hyyppä, J.; Holopainen, M. Automatic stem curve measurement using terrestrial laser scanning. IEEE Trans. Geosci. Remote Sens. 2014, 52, 1739-1748
10. Yu, X.; Liang, X.; Hyyppä, J.; Kankare, V.; Vastaranta, M.; Holopainen, M. Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds. Remote Sens. Lett. 2013, 4, 344-353
11. Kankare, V.; Holopainen, M.; Vastaranta, M.; Puttonen, E.; Yu, X.; Hyyppä, J.; Vaaja, M.; Hyyppä, H.; Alho, P. Individual tree biomass estimation using terrestrial laser scanning. ISPRS J. Photogramm. Remote Sens. 2013, 75, 64-75
12. Liang, X.; Kankare, V.; Hyyppä, J.; Wang, Y.; Kukko, A.; Haggrén, H.; Yu, X.; Kaartinen, H.; Jaakkola, A.; Guan, F.; et al. Terrestrial laser scanning in forest inventories. ISPRS J. Photogramm. Remote Sens. 2016, 115, 63-77
13. Calders, K.; Newnham, G.; Burt, A.; Murphy, S.; Raumonen, P.; Herold, M.; Culvenor, D.; Avitabile, V.; Disney, M.; Armston, J.; et al. Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods Ecol. Evol. 2015, 6, 198-208
14. Hauglin, M.; Astrup, R.; Gobakken, T.; Næsset, E. Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features. Scand. J. For. Res. 2013, 28, 456-469
15. Wagner, B.; Ginzler, C.; Bürgi, A.; Santini, S.; Gärtner, H. An annually-resolved stem growth tool based on 3D laser scans and 2D tree-ring data. Trees 2018, 32, 125-136
16. Smith, A.; Astrup, R.; Raumonen, P.; Liski, J.; Krooks, A.; Kaasalainen, S.; Åkerblom, M.; Kaasalainen, M. Tree root system characterization and volume estimation by terrestrial laser scanning and quantitative structure modeling. Forests 2014, 5, 3274-3294
17. Liang, X.; Jaakkola, A.;Wang, Y.; Hyyppä, J.; Honkavaara, E.; Liu, J.; Kaartinen, H. The use of a hand-held camera for individual tree 3D mapping in forest sample plots. Remote Sens. 2014, 6, 6587-6603
18. Wang, D.; Hollaus, M.; Puttonen, E.; Pfeifer, N. Automatic and self-adaptive stem reconstruction in landslide-affected forests. Remote Sens. 2016, 8, 974
19. White, J.C.; Coops, N.C.; Wulder, M.A.; Vastaranta, M.; Hilker, T.; Tompalski, P. Remote sensing technologies for enhancing forest inventories: A review. Can. J. Remote Sens. 2016, 42, 619-641
20. Rönnholm, P.; Liang, X.; Kukko, A.; Jaakkola, A.; Hyyppä, J. Quality analysis and correction of mobile backpack laser scanning data. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, 3, 41-47
21. Batista Campos, M.; Garcia Tommaselli, A.M.; Honkavaara, E.; dos Santos Prol, F.; Kaartinen, H.; El Issaoui, A.; Hakala, T. A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application. Sensors 2018, 18, 14248220
22. Ryding, J.;Williams, E.; Smith, M.; Eichhorn, M. Assessing handheld mobile laser scanners for forest surveys. Remote Sens. 2015, 7, 1095-1111
23. Bauwens, S.; Bartholomeus, H.; Calders, K.; Lejeune, P. Forest inventory with terrestrial LiDAR:Acomparison of static and hand-held mobile laser scanning. Forests 2016, 7, 127
24. Marselis, S.M.; Yebra, M.; Jovanovic, T.; van Dijk, A.I.J.M. Deriving comprehen-sive forest structure information from mobile laser scanning observations using au-tomated point cloud classification. Environ. Modell. Software 2016, 82, 142-151
25. Forsman, M.; Holmgren, J.; Olofsson, K. Tree stem diameter estimation from mobile laser scanning using line-wise intensity-based clustering. Forests 2016, 7, 206
26. Cěrnăva, J.; Tucěk, J.; Koren?, M.; Mokroš, M. Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy. J. For. Sci. 2017, 63, 433-441
27. Oveland, I.; Hauglin, M.; Gobakken, T.; Næsset, E.; Maalen-Johansen, I. Automatic estimation of tree position and stem diameter using a moving terrestrial laser scanner. Remote Sens. 2017, 9, 350
28. Forsman, M.; Börlin, N.; Holmgren, J. Estimation of Tree Stem Attributes Using Terrestrial Photogrammetry with a Camera Rig. Forests 2016, 7, 61
29. Tseng, Y.H.; Chen, Y.C.; Lin, K.Y. Bundle Adjustment of Spherical Images Acquired with a Portable Panoramic Image Mapping System (PPIMS). Photogramm. Eng. Remote Sens. 2016, 82, 935-943
30. Dick, A.R.; Kershaw, J.A., Jr.; MacLean, D.A. Spatial tree mapping using photography. North. J. Appl. For. 2010, 27, 68-74
31. Itakura, K.; Hosoi, F. Estimation of tree structure parameters from video frames with removal of blurred images using machine learning. J. Agric. Meteorol. 2018, 74, 154-161
32. Morgenroth, J.; Gómez, C. Assessment of tree structure using a 3D image analysis technique-A proof of concept. Urban For. Urban Green. 2014, 13, 198-203
33. Miller, J.; Morgenroth, J.; Gomez, C. 3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates. Urban For. Urban Green. 2015, 14, 932-940
34. Huang, H.; Zhang, H.; Chen, C.; Tang, L. Three-dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer-grade camera. Ecol. Evol. 2018, 8, 5891-5899
35. Surový, P.; Yoshimoto, A.; Panagiotidis, D. Accuracy of reconstruction of the tree stem surface using terrestrial close-range photogrammetry. Remote Sens. 2016, 8, 123
36. Bauwens, S.; Fayolle, A.; Gourlet-Fleury, S.; Ndjele, L.M.; Mengal, C.; Lejeune, P. Terrestrial photogrammetry: A non-destructive method for modelling irregularly shaped tropical tree trunks. Methods Ecol. Evol. 2017, 8, 460-471
37. Berveglieri, A.; Tommaselli, A.; Liang, X.; Honkavaara, E. Photogrammetric measurement of tree stems from vertical fisheye images. Scand. J. For. Res. 2017, 32, 737-747
38. Mokroš, M.; Výbošt'ok, J.; Tomaštík, J.; Grznárová, A.; Valent, P.; Slavík, M.; Merganič, J. High Precision Individual Tree Diameter and Perimeter Estimation from Close-Range Photogrammetry. Forests 2018, 9, 696
39. Liang, X.;Wang, Y.; Jaakkola, A.; Kukko, A.; Kaartinen, H.; Hyyppä, J.; Honkavaara, E.; Liu, J. Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning. IEEE Trans. Geosci. Remote Sens. 2015, 53, 5117-5132
40. Panagiotidis, D.; Surový, P.; Kuželka, K. Accuracy of Structure from Motion models in comparison with terrestrial laser scanner for the analysis of DBH and height influence on error behaviour. J. For. Sci. 2016, 62, 357-365
41. Mikita, T.; Janata, P.; Surový, P. Forest stand inventory based on combined aerial and terrestrial close-range photogrammetry. Forests 2016, 7, 165
42. Mokroš, M.; Liang, X.; Surový, P.; Valent, P.; Cěrnăva, J.; Chudý, F.; Merganic?, J. Evaluation of close-range photogrammetry image collection methods for estimating tree diameters. ISPRS Int. J. Geo-Inf. 2018, 7, 93
43. Liu, J.; Feng, Z.; Yang, L.; Mannan, A.; Khan, T.; Zhao, Z.; Cheng, Z. Extraction of Sample Plot Parameters from 3D Point Cloud Reconstruction Based on Combined RTK and CCD Continuous Photography. Remote Sens. 2018, 10, 1299
44. Micheletti, N.; Chandler, J.H.; Lane, S.N. Structure from Motion (SFM) Photogrammetry. In Geomorphological Techniques; Clarke, L.E., Nield, J.M., Eds.; British Society for Geomorphology: London, UK, 2015; Chapter 2, Section 2.2; pp. 1-12
45. CloudCompareWiki. Available online: https://www.cloudcompare.org/doc/wiki/index.php?title=SOR_filter (accessed on 1 October 2018)
46. Pfeifer, N.; Mandlburger, G. LiDAR data filtering and DTM generation. In Topographic Laser Ranging and Scanning: Principles and Processing; CRC Press: Boca Raton, FL, USA, 2009; pp. 307-334
47. Wang, D.; Hollaus, M.; Schmaltz, E.;Wieser, M.; Reifeltshammer, D.; Pfeifer, N. Tree stem shapes derived from TLS data as an indicator for shallow landslides. Procedia Earth Planet. Sci. 2016, 16, 185-194
48. Kraus, K.; Pfeifer, N. Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J. Photogramm. Remote Sens. 1998, 53, 193-203
49. Pfeifer, N.; Mandlburger, G.; Otepka, J.; Karel,W. OPALS-A framework for Airborne Laser Scanning data analysis. Comput. Environ. Urban Syst. 2014, 45, 125-136
50. Wang, D.; Brunner, J.; Ma, Z.; Lu, H.; Hollaus, M.; Pang, Y.; Pfeifer, N. Separating Tree Photosynthetic and Non-Photosynthetic Components from Point Cloud Data Using Dynamic Segment Merging. Forests 2018, 9, 252
51. Cheng, Y. Mean shift, mode seeking, and clustering. IEEE Trans. Pattern Anal. Mach. Intell. 1995, 17, 790-799
52. Piermattei, L.; Carturan, L.; Guarnieri, A. Use of terrestrial photogrammetry based on structure-from-motion for mass balance estimation of a small glacier in the Italian alps. Earth Surf. Process. Landf. 2015, 40, 1791-1802
53. Hyyppä, J.; Virtanen, J.P.; Jaakkola, A.; Yu, X.; Hyyppä, H.; Liang, X. Feasibility of Google Tango and Kinect for crowdsourcing forestry information. Forests 2017, 9, 6
54. Eitel, J.U.; Vierling, L.A.; Magney, T.S. A lightweight, low cost autonomously operating terrestrial laser scanner for quantifying and monitoring ecosystem structural dynamics. Agric. For. Meteorol. 2013, 180, 86-96
55. Wilkes, P.; Lau, A.; Disney, M.; Calders, K.; Burt, A.; de Tanago, J.G.; Bartholomeus, H.; Brede, B.; Herold, M. Data acquisition considerations for terrestrial laser scanning of forest plots. Remote Sens. Environ. 2017, 196, 140-153