Scholarly record
MEASURING TREE HEIGHTS USING A LOW-COST COMMERCIAL DRONE IN A BEECH AND DURMAST OAK STAND IN THE SOUTH-WEST HILLY AREA OF POIANA-RUSC? MOUNTAINS, ROMANIA
Abstract
The tree height, as the vertical distance between the base of the tree and the tip of the highest branch of the tree, represents a key element of forest inventories. In stands where the number of trees is high, the traditional in-situ methods can be time-consuming and can have difficulties in measuring accurately. In this study we present the potential of a low-cost commercial drone-based method of tree height measurement that could be implemented in the sustainable management of forests. Aerial images were acquired in a beech and durmast oak stand in the South-West hilly area of Poiana-Rusc? Mountains with the use of a low-cost commercial Unmanned Aerial Vehicle (UAV). Based on these images an orthomosaic and a digital surface model (DSM) were assembled. A delineation of the tree crowns was made with the use of the orthomosaic in order to set the boundary of each tree. Further, the tree heights were calculated as the difference between the maximum elevation value found in the tree crown boundaries of the digital surface model and the closest terrain elevation of the tree crown. The current paper results were compared with the traditional tree-height measurements made in-situ. Further, the accuracy and the limitations of the current methodology were discussed.
Publication Impact Profile
Publication details
References15
Husch B., Miler C., Beers T., Forest mensuration. 2th ed., Ronald Press Company, USA, 1972.
Andersen H.E., Reutebuch S.E., McGaughey R.J., A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods, Canadian Journal of Remote Sensing, Canada, vol. 32, no. 5, pp 355-366, 2006.
Schreuder H., Gregoire T., Wood G., Sampling methods for multiresource forest inventory, Wiley, USA, 1993.
Wing M., Solmie D., Kellogg L, Comparing digital range finders for forestry applications, Journal of Forestry, USA, vol. 102, no. 4, pp 16-20, 2004.
Wallace L., Lucieer A., Malenovský Z., Turner D., Vopenka P, Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds, Forests, Switzerland, vol. 7/issue 62, DOI: 10.3390/f7030062, pp 1-16, 2016.
Wallace L., Musk R., Lucieer A., An assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data, IEEE Transactions on Geoscience and Remote Sensing, USA, vol. 52/issue 11, pp 7160 7169, 2014.
Wallace L., Lucieer A., Watson C., Turner D., Development of a UAV-LiDAR system with application to forest inventory, Remote Sensing, Switzerland, vol. 4/issue 6, pp 1519-1543, 2012.
Zarco-Tejada P.J., Diaz-Varela R., Angileri V., Loudjani P., 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, EU, vol. 55, pp 89 99, 2014.
Ye Seul L., Hien P., Jong Soo P., Mi Hee L., Mu Wook P., Jee-In K., Calculation of Tree Height and Canopy Crown from Drone Images Using Segmentation, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, South Korea, vol. 33, no. 6, pp 605-613, 2015.
Anderson K., Gaston K.J., Lightweight unmanned aerial vehicles will revolutionize spatial ecology, Frontiers in Ecology and the Environment, USA, vol. 11/issue3, pp 138 146, 2013.
Tuominen S., Balazs A., Saari H., Pölönen I., Sarkeala J., Viitala R., Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables, Silva Fennica, Finland, vol. 49, no. 5, pp 1-19, 2015.
Kattenborn T., Sperlich M., Bataua K., Koch B., Automatic single tree detection in plantations using UAV-based photogrammetric point clouds. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, Switzerland, vol. XL-3, pp. 139-144, 2014.
Hung C., Bryson M., Sukkarieh S., Multiclass predictive template for tree crown detection, ISPRS Journal of Photogrammetry and Remote Sensing, Netherlands, vol. 68, pp. 170-183, 2012.
Birdal A. C., Avdan U., Türk T., Estimating tree heights with images from an unmanned aerial vehicle, Journal of Geomatics, Natural Hazards and Risk, United Kingdom, pp 1-13, 2017.
Website http://www.dronedeploy.com. Accessed May, 2016.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


