Determining tree height and crown diameter from high-resolution UAV imagery

International Journal of Remote Sensing

Volumn 38, Issue 8-10, 2017, Pages 2392-2410

  Panagiotidis, Dimitrios ^a   Abdollahnejad, Azadeh ^a   Surový, Peter ^a   Chiteculo, Vasco ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; IMAGE SEGMENTATION; INVERSE PROBLEMS; PLANTS (BOTANY); REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV);

CANOPY HEIGHT MODELS; GROUND MEASUREMENTS; HIGH RESOLUTION IMAGERY; INDIRECT MEASUREMENTS; PARALLEL DEVELOPMENT; SPECIES COMPOSITION; STRUCTURE FROM MOTION; WATERSHED SEGMENTATION;

FORESTRY;

AIRCRAFT; CANOPY ARCHITECTURE; FOREST INVENTORY; HEIGHT DETERMINATION; IMAGE RESOLUTION; REMOTE SENSING; TREE; UNMANNED VEHICLE;

BETULA PENDULA; LARIX DECIDUA; PICEA ABIES; PINUS SYLVESTRIS;

EID: 85002412635     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1264028     Document Type: Article

References (39)

1. 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.
2. Bodluc, P., K., Lowell, and G., Edwards. 1999. “Automated Estimation of Localized Forest Volumes from Large-Scale Aerial Photographs and Ancillary Cartographic Information in a Boreal Forest.” International Journal of Remote Sensing 20 (18):3611–3624. doi:10.1080/014311699211237.
3. Bortolot, Z., 2006. “Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data.” Photogrammetric Engineering & Remote Sensing 72:1389–1397. doi:10.14358/PERS.72.12.1389.
4. Carleer, A. P., O., Debeir, and E., Wolff. 2005. “Assessment of Very High Spatial Resolution Satellite Image Segmentations.” Photogrammetric Engineering & Remote Sensing 71 (11):1285–1294. doi:10.14358/PERS.71.11.1285.
5. Chen, Q., D. D., Baldocchi, P., Gong, and M., Kelly. 2006. “Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data.” Photogrammetric Engineering & Remote Sensing 72:923–932. doi:10.14358/PERS.72.8.923.
6. Dandois, J. P., and E. C., Ellis. 2010. “Remote Sensing of Vegetation Structure Using Computer Vision.” Remote Sensing 2 (4):1157–1176. doi:10.3390/rs2041157.
7. Dandois, J. P., and E. C., Ellis. 2013. “High Spatial Resolution Three-Dimensional Mapping of Vegetation Spectral Dynamics Using Computer Vision.” Remote Sensing of Environment 136 (136):259–276. doi:10.1016/j.rse.2013.04.005.
8. Diaz-Varela, R., R., De La Rosa, L., Leon, P. J., Zarco-Tejada, and J., Pablo. 2015. “High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction:Application in Breeding Trials.” Remote Sensing 7:4213–4232. doi:10.3390/rs70404213.
9. Diaz-Varela, R. A., P. J., Zarco-Tejada, V., Angileri, and P., Loudjani. 2014. “Automatic Identification of Agricultural Terraces through Object-Oriented Analysis of Very High Resolution Dsms and Multispectral Imagery Obtained from an Unmanned Aerial Vehicle.” Journal of Environmental Management 134 (134):117–126. doi:10.1016/j.jenvman.2014.01.006.
10. Dralle, K., and M., Rudemo. 1996. “Stem Number Estimation by Kernel Smoothing of Aerial Photos.” Canadian Journal of Forest Research-Revue 26 (7):1228–1236. Canadienne De Recherche Forestiere. doi:10.1139/x26-137
11. Edson, C., and M. G., Wing. 2011. “Airborne Light Detection and Ranging (Lidar) for Individual Tree Stem Location, Height, and Biomass Measurements.” Remote Sensing 3:2494–2528. doi:10.3390/rs3112494.
12. Falkowski, M. J., A. M. S., Smith, A. T., Hudak, P. E., Gessler, L. A., Vierling, and N. L., Crookston. 2006. “Automated Estimation of Individual Conifer Tree Height and Crown Diameter via Two-Dimensional Spatial Wavelet Analysis of Lidar Data.” Canadian Journal of Remote Sensing 32:153–161. doi:10.5589/m06-005.
13. 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.” International Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences XL-1/W2:141–146. doi:10.5194/isprsarchives-XL-1-W2-141-2013.
14. Gini, R., D., Passoni, L., Pinto, and G., Sona. 2014. “Use of Unmanned Aerial Systems for Multispectral Survey and Tree Classification:A Test in A Park Area of Northern Italy.” European Journal of Remote Sensing 2014 (47):251–269. doi:10.5721/EuJRS20144716.
15. HAGLÖF SWEDEN, 2002, Vertex III and Transponder T3 Manual (English). Accessed 22October 2003. http://www.forestrytools.com.au/VertexIII%20users%20guide.pdf
16. James, M. R., and S., Robson. 2012. “Straight Forward Reconstruction of 3D Surfaces and Topography with a Camera:Accuracy and Geoscience Application.” Journal of Geophysical Research 2012:117.
17. Kalliovirta, J., and T., Tokola. 2005. “Functions for Estimating Stem Diameter and Tree Age Using Tree Height, Crown Width and Existing Stand Database Information.” Silva Fennica 39 (2):227–248. doi:10.14214/sf.386.
18. Koch, B., U., Heyder, and H., Weinacker. 2006. “Detection of Individual Tree Crowns in Airborne Lidar Data.” Photogrammetric Engineering & Remote Sensing 72:357–363. doi:10.14358/PERS.72.4.357.
19. Küng, O., C., Strecha, A., Beyeler, J. C., Zufferey, D., Floreano, P., Fua, and F., Gervaix. 2011. “The Accuracy of Automatic Photogrammetric Techniques on Ultra-Light UAV Imagery.” International Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences XXXVIII-1:125–130.
20. Maltamo, M., K., Eerikainen, J., Pitkaken, J., Hyypa, and M., Vehmas. 2004. “Estimation of Timber Volume and Stem Density Based on Scanning Laser Altimetry and Expected Tree Size Distribution Functions.” Remote Sensing of Environment 90:319–330. doi:10.1016/j.rse.2004.01.006.
21. Moorthy, I., J. R., Miller, J. A. J., Berni, P., Zarco-Tejada, B., Hu, and J., Chen. 2011. “Field Characterization of Olive (Olea Europaea L.) Tree Crown Architecture Using Terrestrial Laser Scanning Data.” Agricultural & Forest Meteorology 151 (2):204–214. doi:10.1016/j.agrformet.2010.10.005.
22. Naesset, E., 2002. “Predicting Forest Stand Characteristics with Airborne Scanning Laser Using a Practical Two-Stage Procedure and Field Data.” Remote Sensing of Environment 80 (1):88–99. doi:10.1016/S0034-4257(01)00290-5.
23. Paproki, A., X., Sirault, S., Berry, R., Furbank, and J., Fripp. 2012. “A Novel Mesh Processing Based Technique for 3D Plant Analysis.” BMC Plant Biology 12 (1):63. doi:10.1186/1471-2229-12-63.
24. Paulus, S., J., Behmann, A. K., Mahlein, L., Plumer, and H., Kuhlmann. 2014. “Low-Cost 3D Systems:Suitable Tools for Plant Phenotyping.” Sensors 14 (2):3001–3018. doi:10.3390/s140203001.
25. Peckham, R. J., and J., Gyozo. 2007. Development and Applications in a Policy Support Environment Series:Lecture Notes in Geoinformation and Cartography. Germany:University of Heidelberg.
26. Persson, Å., J., Holmgren, and U., Soderman. 2002. “Detecting and Measuring Individual Trees Using Airborne Laser Scanning.” Photogrammetric Engineering and Remote Sensing 68 (9):925–932.
27. Pitkänen, J., M., Maltamo, J., Hyyppä, and X., Yu. 2004. Adaptive Methods for Individual Tree Detection on Airborne Laser Based Canopy Height Model. In:M., Theis, B., Koch, H., Spiecker, and H., Weinacker, eds. Proceedings of ISPRS Working Group VIII/2:“Laser-scanners for forest and landscape assessment”. Germany:University of Freiburg; pp. 187–191.
28. Popescu, S. C., 2007. “Estimating Biomass of Individual Pine Trees Using Airborne Lidar.” Biomass and Bioenergy 31:646–655. doi:10.1016/j.biombioe.2007.06.022.
29. Popescu, S. C., R. H., Wynne, and R. F., Nelson. 2002. “Estimating Plot-Level Tree Heights with Lidar:Local Filtering with a Canopy Height Based Variable Window Size.” Computers and Electronics in Agriculture 37:71–95. doi:10.1016/S0168-1699(02)00121-7.
30. Popescu, S. C., R. H., Wynne, and R. F., Nelson. 2003. “Measuring Individual Tree Crown Diameter with Lidar and Assessing Its Influence on Estimating Forest Volume and Biomass.” Canadian Journal of Remote Sensing 29:564–577. doi:10.5589/m03-027.
31. Pyysalo, U., and H., Hyyppä. 2002. Reconstructing Tree Crowns from Laser Scanner Data for Feature Extraction. In ISPRS Commission III, Symposium, 13September 2002. Graz, Austria. pp. 218–221.
32. Remondino, F., L., Barazzetti, F., Nex, M., Scaioni, and D., Sarazzi. 2011. “UAV Photogrammetry for Mapping and 3D Modeling–Current Status and Future Perspectives. International Archives of the Photogrammetry.” Remote Sensing and Spatial Information Sciences 38:25–31.
33. Shao, G., S., Zhao, and H. H., Shugart. 1996. Forest Dynamics Modeling–Preliminary Explanations of Optimizing Management of Korean Pine Forests, 159. Beijing:Chinese Forestry Publishing House.
34. Sona, G., L., Pinto, D., Pagliari, D., Passoni, and R., Gini. 2014. “Experimental Analysis of Different Software Packages for Orientation and Digital Surface Modelling from UAV Images.” Earth Science Informatics 7:97–107. doi:10.1007/s12145-013-0142-2.
35. Turner, D., A., Lucieer, and C., Watson. 2012. “An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (Sfm) Point Clouds.” Remote Sensing 4 (12):1392–1410. doi:10.3390/rs4051392.
36. Wang, L., P., Gong, and G. S., Biging. 2004. “Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery.” Photogrammetric Engineering & Remote Sensing 70:351–357. doi:10.14358/PERS.70.3.351.
37. Wannasiri, W., M., Nagai, K., Honda, P., Santitamont, and P., Miphokasap. 2013. “Extraction of Mangrove Biophysical Parameters Using Airborne LIDAR.” Remote Sensing 5 (4):1787–1808. doi:10.3390/rs5041787.
38. Waser, L. T., E., Baltsavias, K., Ecker, H., Eisenbeiss, C., Ginzler, M., Kuchler, P., Thee, and L., Zhang. 2008. “High-Resolution Digital Surface Models (Dsms) for Modelling Fractional Shrub/Tree Cover in a Mire Environment.” International Journal of Remote Sensing 29 (5):1261–1276. doi:10.1080/01431160701736422.
39. Zarco-Tejada, P. J., R., Diaz-Varela, V., Angileri, and P., Loudjani. 2014. “Tree Height Quantification Using Very High Resolution Imagery Acquired from an Unmanned Aerial Vehicle (UAV) and Automatic 3D Photo-Reconstruction Methods.” European Journal of Agronomy 55 (55):89–99. doi:10.1016/j.eja.2014.01.004.