*
 

iForest - Biogeosciences and Forestry

*

Integration between TLS and UAV photogrammetry techniques for forestry applications

Irene Aicardi, Paolo Dabove, Andrea Maria Lingua, Marco Piras   

iForest - Biogeosciences and Forestry, Volume 10, Issue 1, Pages 41-47 (2016)
doi: https://doi.org/10.3832/ifor1780-009
Published: Jun 23, 2016 - Copyright © 2016 SISEF

Technical Reports


Forests are significant resources from an ecological, economic and social point of view. Their protection and management could greatly benefit from a complete knowledge of the shape and distribution of trees in forest stands. To this purpose, aerial surveys, especially through Airborne Laser Scanning (ALS), were carried out in the last years to acquire point clouds to be used in 3D models aimed at achieving an accurate description of tree crowns and terrain. However, airborne data acquisition is expensive and may provide poor results in case of dense foliage. Further, point cloud resolution is not very high, as models with a grid of 2-3 m are usually obtained. In order to implement more accurate 3D forest models, a feasible solution is the integration of point clouds obtained by aerial acquisition (ALS or photogrammetry) for the treetops and the terrain description, with information from terrestrial surveys. In this paper, we investigated the possible integration of point clouds obtained by Terrestrial Laser Scanner (TLS) with those collected by photogrammetric 3D models based on images captured by Unmanned Aerial Vehicle (UAV) in a test site located in northern Italy, with the aim of creating an accurate dataset of the forest site with high resolution and precision. The limits of ALS and TLS were bridged by aerial photogrammetry at low altitude (and vice versa). A 3D model of the study area was obtained with a resolution of 5 cm and a precision of 3 cm. Such model may be used in a wide range of applications in forestry studies, e.g., the reconstruction of 3D shapes of trees or the analysis of tree growth throught time. The implications of the use of such integrate approach as a support tool for decision-making in forest management are discussed.

  Keywords


Data Integration, Forestry, Laser Scanner, Photogrammetry, Unmanned Aerial Vehicle, GNSS

Authors’ address

(1)
Irene Aicardi
Paolo Dabove
Andrea Maria Lingua
Marco Piras
Environment, Land, and Infrastructure Department (DIATI), Politecnico di Torino, c.so Duca degli Abruzzi 24, I-10129 Turin (Italy)

Corresponding author

 
Marco Piras
marco.piras@polito.it

Citation

Aicardi I, Dabove P, Lingua AM, Piras M (2016). Integration between TLS and UAV photogrammetry techniques for forestry applications. iForest 10: 41-47. - doi: 10.3832/ifor1780-009

Academic Editor

Davide Travaglini

Paper history

Received: Jul 27, 2015
Accepted: Mar 04, 2016

First online: Jun 23, 2016
Publication Date: Feb 28, 2017
Publication Time: 3.70 months

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 47736
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 35713
Abstract Page Views: 2106
PDF Downloads: 8702
Citation/Reference Downloads: 76
XML Downloads: 1139

Web Metrics
Days since publication: 2858
Overall contacts: 47736
Avg. contacts per week: 116.92

Article Citations

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

Total number of cites (since 2017): 28
Average cites per year: 4.00

 

Publication Metrics

by Dimensions ©

Articles citing this article

List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Alpine Space (2012)
Airborne laser scanning for forest applications. State-of-the-art.
Online | Gscholar
(2)
Arnold JEM (1993)
Management of forest resources as common property. The Commonwealth Forestry Review 72 (3): 157-161.
Online | Gscholar
(3)
Baltsavias EP (1999)
A comparison between photogrammetry and laser scanning. ISPRS Journal of photogrammetry and Remote Sensing 54: 83-94.
CrossRef | Gscholar
(4)
Bienert A, Scheller S, Keane E, Mullooly G, Mohan F (2006)
Application of terrestrial laser scanners for the determination of forest inventory parameters. In: Proceedings of the ISPRS Commission V Symposium “Image Engineering and Vision Metrology” (Mass H-G, Schneider D eds). Dresden (Germany) 25-27 Sep 2006. ISPRS, vol. 36, pp. 36.
Gscholar
(5)
Bornaz L, Dequal S (2003)
The solid image: a new concept and its applications. In: “International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences”. ISPRS, Vol. 34, Part 6/W12, pp.78-82.
Gscholar
(6)
Bornaz L, Dequal S, Lingua A (2006)
L’ortofoto solida di precisione: un prodotto innovativo per la rappresentazione e la gestione dei dati tridimensionali [The solid orthophoto: an innovative product for 3D data representation and management]. In: “Atti Conferenza Nazionale SIFET”. Taranto (Italy) 13-16 un 2006, pp. 8. [in Italian]
Online | Gscholar
(7)
Corona P (2010)
Integration of forest mapping and inventory to support forest management. iForest 3: 59-64.
CrossRef | Gscholar
(8)
CROPS (2010)
Clever robots for crops. Web site.
Online | Gscholar
(9)
Dabove P, Manzino AM (2014)
GPS and GLONASS mass-market receivers: positioning, performances and peculiarities. Sensors 12: 22159-22179.
CrossRef | Gscholar
(10)
Dabove P, Manzino AM, Taglioretti C (2014)
GNSS network products for post-processing positioning: limitations and peculiarities. Applied Geomatics 6: 27-36.
CrossRef | Gscholar
(11)
Eisenbeiss H (2009)
UAV Photogrammetry. D. Sc. Thesis, University of Technology, Dresden, Germany, pp. 237.
Gscholar
(12)
Fattorini L, Marcheselli M, Pisani C (2006)
A three-phase sampling strategy for large-scale multiresource forest inventories. Journal of Agricoltural, Biological and Environmental Statistics 11: 296-316.
CrossRef | Gscholar
(13)
FIRESMART (2010)
Sustainable forest management as a tool to prevent unwanted forest fires. Web site, Confédération Européenne des Propriétaires Forestiers, Bruxelles, Belgium.
Online | Gscholar
(14)
Forno MG, Lingua A, Lo Russo S, Taddia G, Piras M (2013)
GSTOP: a new tool for 3D geomorphological survey and mapping. European Journal of Remote Sensing 16: 234-249.
CrossRef | Gscholar
(15)
Gobakken T, Naesset E, Nelson R, Bollandsas OM, Gregoire TG, Stahl G, Holm S, Orka HO, Astrup R (2012)
Estimating biomass in Hedmark County, Norway, using national forest inventory field plots and airborne laser scanning. Remote Sensing of Environment 123: 443-456.
CrossRef | Gscholar
(16)
Grenzdörffer GJ, Engel A, Teichert B (2008)
The photogrammetric potential of low-cost UAVs in forestry and agriculture. In: “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences”. ISPRS, Beijing, China, vol. 37, Part B1, pp. 8.
Online | Gscholar
(17)
Holopainen M, Vastaranta M, Karjalainen M, Karila K, Kaasalainen S, Honkavaara E, Hyyppä J (2015)
Forest inventory attribute estimation using airborne laser scanning, aerial stereo imagery, radargrammetry and interferometry - Finnish experiences of the 3D techniques. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4: 63-69.
CrossRef | Gscholar
(18)
Hyyppä J, Yu X, Hyyppä H, Vastaranta M, Holopainen M, Kukko A, Kaartinen H, Jaakkola A, Vaaja M, Koskinen J, Alho P (2012)
Advances in forest inventory using airborne laser scanning. Remote Sensing 4: 1190-1207.
CrossRef | Gscholar
(19)
Lisein J, Deseilligny MP, Bonnet S, Lejeune P (2013)
A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery. Forests 4: 922-944.
CrossRef | Gscholar
(20)
Maltamo M, Naesset E, Vauhkonen J (2014)
Forestry applications of airborne laser scanning. Concepts and case studies. Springer, Dordrecht, Netherlands, pp. 27-36.
CrossRef | Gscholar
(21)
Mancera-Taboada J, Rodriguez-Gonzalvez P, Gonzalez-Aguilera D, Muñoz-Nieto A, Menendez M, Armesto J (2010)
Integration of TLS, close range photogrammetry and spatial information systems. In: Proceedings of the conference “Instrumentation and Measurement Technology” (I2MTC). Austin (TX, USA) May 2010. IEEE, pp. 1515-1520.
CrossRef | Gscholar
(22)
Millera DR, Quineb CP, Hadley W (2000)
An investigation of the potential of digital photogrammetry to provide measurements of forest characteristics and abiotic damage. Forest Ecology and Management 135: 279-288.
CrossRef | Gscholar
(23)
NEWFOR (2011)
NEW technologies for a better mountain FORest timber mobilization. The NEWFOR Project Consortium, web site.
Online | Gscholar
(24)
Nyström M, Holmgren J, Olsson H (2012)
Prediction of tree biomass in the forest-tundra ecotone using airborne laser scanning. Remote Sensing of Environment 123: 271-279.
CrossRef | Gscholar
(25)
Pirotti F (2011)
Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods. iForest 4 (3): 100-106.
CrossRef | Gscholar
(26)
Remondino F, Spera MG, Nocerino E, Menna F, Nex F (2014)
State of the art in high density image matching. The Photogrammetric Record 29: 144-166.
CrossRef | Gscholar
(27)
Rijsdijk M (2014)
Full automatically generated true orthophotos, sensational 3D pointclouds and dense matching techniques in topographical mapping. In: Proceedings of the “FIG Congress Engaging the Challenges”. Kuala Lumpur (Malaysia) 16-21 Jun 2014. Paper no. 6978, pp. 10.
Online | Gscholar
(28)
Savoie P, D’Amours L, Lavoie F, Lechasseur G, Joannis H (2006)
Development of a cutter-shredder-baler to harvest long stem willow. American Society of Agricultural Engineers 1: 1.
CrossRef | Gscholar
(29)
Spinelli R, Couchet E, Roux P (2007)
A new feller-buncher for harvesting energy wood: results from a European test programme. Biomass and Bioenergy 31: 205-210.
CrossRef | Gscholar
(30)
Sylvain D, Franck B, Jean-Matthieu M, Berger F (2015)
Sylvaccess: un modèle pour cartographier automatiquement l’accessibilité des forêts [Sylvaccess: a model to automatically map accessibility of forests]. Revue Forestière Française 70: 111-126. [in French]
Online | Gscholar
(31)
Tabacchi G, De Natale F, Floris A, Gagliano C, Gasparini P, Scrinzi G, Tosi V (2005)
Italian National Forest Inventory: methods, state of the project and future developments. In: Proceedings of the “7th Annual Forest Inventory and Analysis Symposium”. Portland (ME, USA) 3-6 Oct 2005. ISPRS, pp. 55-66.
Gscholar
(32)
Uramoto Y, Zhu L, Tachibana K, Shimamura H, Ogaya N (2012)
Development of photogrammetry system for grasping forest resources information. In: Proceedings of the XXII ISPRS Congress “International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences”. Melbourne (Australia) 25 Aug - 01 Sep 2012. ISPRS, vol. 39-B8, pp. 447-450.
Online | Gscholar
(33)
Wulder MA, Bater CW, Coops NC, Hilker T, White JC (2008)
The role of LiDAR in sustainable forest management. The Forestry Chronicle 84: 807-826.
CrossRef | Gscholar
 

This website uses cookies to ensure you get the best experience on our website. More info