264
Views
4
CrossRef citations to date
0
Altmetric
Articles

Assessing and mapping energy biomass distribution using a UAV in Finland

&
Pages 485-499 | Received 30 Jun 2016, Accepted 11 Jan 2017, Published online: 18 Apr 2017

References

  • Parry ML, Canziani OF, Palutikof JP, et al. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge: Cambridge University Press; 2007.
  • Volk TA, Verwijst T, Tharakan PJ, et al. Growing fuel: a sustainability assessment of willow biomass crops. Front Ecol Environ. 2004;2(8):411–418.
  • Ferrentino C. Potentials for bioenergy to mitigate climate change. Global Bioenergy Partnership; 2007.
  • Berndes GHM, Broek R. The contribution of biomass in the future global energy system. Biomass Bioenerg. 2003;25:1–28.
  • European Union. Directive 2009/28/EC on the p romotion of the u se of e nergy from r enewable s ources. 2009. Available at: http://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A32009L0028 ( accessed 13 February 2015).
  • European Landscape Convention. Council of Europe. Florence. 2000. Available at: https://rm.coe.int/CoERMPublicCommonSearchServices/DisplayDCTMContent?documentId=0900001680080621 ( accessed 15 February 2015).
  • Haslam SM. Phragmites communis Trin: the biological flora of the British Isles. J Ecol. 1972;60:585–610.
  • Pahkala K, Aalto M, Isolahti M, et al. Large-scale energy grass farming for power plants: a case study from Ostrobothnia, Finland. Biomass Bioenerg. 2008;32:1009–1015.
  • Strayer DL, Findlay SEG. Ecology of freshwater shore zones. Aquat Sci. 2010;72.
  • Hagelberg E, Lyytinen S. Read up on reed. Turku; 2007.
  • Seppala M, Paavola T, Lehtomaki A, et al. Biogas production from boreal herbaceous grasses: specific methane yield and methane yield per hectare. Bioresource Technol. 2009;100:2952–2958.
  • Palander TS, Voutilainen JJ. Modelling fuel terminals for supplying a combined heat and power (CHP) plant with forest biomass in Finland. Biosystems Eng. 2013;114:135–145.
  • Kotamaa E, Tokola T, Maltamo M, et al. Integration of remote sensing-based bioenergy inventory data and optimal bucking for stand-level decision making. Eur J Forest Res. 2010;129:875–886.
  • Zlinszky A, Mücke W, Lehner H, et al. Categorizing wetland vegetation by airborne laser scanning on Lake Balaton and Kis-Balaton, Hungary. Remote Sens. 2012;4(6):1617–1650.
  • Eisenbei H. UAV photogrammetry. Zurich: Institut für Geodäsie und Photogrammetrie; 2009.
  • Kachamba D, Ørka H, Gobakken T, et al. Biomass estimation using 3D data from unmanned aerial vehicle imagery in a tropical woodland. Remote Sens. 2016;8(11):968. Available at:http://www.mdpi.com/2072-4292/8/11/968/htm ( accessed 7 January 2017).
  • Simpson J, Wooster M, Smith T. et al. Tropical peatland burn depth and combustion heterogeneity assessed using UAV photogrammetry and airborne LiDAR. Remote Sens. 2016;8(12):1000. Available at: http://www.mdpi.com/2072-4292/8/12/1000/htm ( accessed 7 January 2017).
  • Schirrmann M, Giebel A, Gleiniger F, et al. Monitoring agronomic parameters of winter wheat crops with low-cost UAV imagery. Remote Sens. 2016;8(9):706. Available at: http://www.mdpi.com/2072-4292/8/9/706/htm ( accessed 7 January 2017).
  • Bendig J, Bolten A, Bennertz S, et al. Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging. Remote Sens. 2014;6(11):10395–10412. Available at: http://www.mdpi.com/2072-4292/6/11/10395/htm ( accessed 7 January 2017).
  • Honkavaara E, Saari H, Kaivosoja J. et al. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. Remote Sens. 2013;5(10):5006–5039. Available at: http://www.mdpi.com/2072-4292/5/10/5006/htm ( accessed 7 January 2017).
  • Wallace L, Lucieer A, Malenovský Z, et al. Assessment of forest structure using two UAV techniques: a comparison of airborne laser scanning and structure from motion (SfM) point clouds. Forests. 2016;7(3):62. Available at: http://www.mdpi.com/1999-4907/7/3/62/htm ( accessed 7 January 2017).
  • Lisein J, Pierrot-Deseilligny M, Bonnet S, et al. A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery. Forests. 2013;4(4):922–944. Available at: http://www.mdpi.com/1999-4907/4/4/922/htm ( accessed 7 January 2017).
  • Kuzmin A.. Application of low-cost unmanned aerial vehicle for tree height measurements. Master's thesis, Joensuu: Finnish-Russian Cross-Border University; 2011.
  • Agisoft. Agisoft photoscan user guide. 2013. Available at: http://downloads.agisoft.ru/pdf/photoscan-pro_1_0_0_en.pdf ( accessed 18 April 2015).
  • eCognition. eCognition developer user guide. Munchen: Trimble Documentation; 2011.
  • Feng YM, Li ZY, Tokola T. Estimation of stand mean crown diameter from high-spatial-resolution imagery based on a geostatistical method. Int J Remote Sens. 2010;31:363–378.
  • Kalliovirta J, Tokola T. Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information. Silva Fenn. 2005;39:227–248.
  • Makinen A, Korpela I, Tokola T, et al. Effects of imaging conditions on crown diameter measurements from high-resolution aerial images. Can J Forest Res. 2006;36:1206–1217.
  • Vesa L. ForestCalc standard. Joensuu: Tmi LTV Forest; 2007.
  • Kukk L, Astover A, Muiste P, et al. Assessment of abandoned agricultural land resource for bio-energy production in Estonia. Acta Agr Scand: Section B – Soil Plant Sci. 2010;60:166–173.
  • Lopez-Granados F. Weed detection for site-specific weed management: mapping and real-time approaches. Weed Res. 2011;51:1–11.
  • Ke CQ, Zhang D, Wang F-Q, et al. Analyzing coastal wetland change in the Yancheng national nature reserve, China. Region Environ Change. 2011;11:161–173.
  • Sivanpillai R, Latchininsky AV, Driese KL, et al. Mapping locust habitats in river Ili Delta, Kazakhstan, using Landsat imagery. Agr Ecosyst Environ. 2006;117:128–134.
  • Wang H, Gao J, Ren LL, et al. Assessment of the red-crowned crane habitat in the yellow river delta nature reserve, East China. Region Environ Change. 2013;13:115–123.
  • Davranche A, Lefebvre G, Poulin B. Wetland monitoring using classification trees and SPOT-5 seasonal time series. Remote Sens Environ. 2010;114:552–562.
  • Sivanpillai R, Latchininsky AV. Mapping locust habitats in the Amudarya River Delta, Uzbekistan with multi-temporal MODIS imagery. Environ Manage. 2007;39:876–886.
  • Everitt JH, Yang C, Deloach CJ. Remote sensing of giant reed with QuickBird satellite imagery. J Aquat Plant Manage. 2005;43:81–85.
  • Artigas F, Pechmann IC. Balloon imagery verification of remotely sensed Phragmites australis expansion in an urban estuary of New Jersey, USA. Landscape Urban Plan. 2010;95:105–112.
  • Bresciani M, Sotgia C, Fila GL, et al. Assessing common reed bed health and management strategies in Lake Garda (Italy) by means of Leaf Area Index measurements. Italian J Remote Sens. 2011;43:9–22.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.