Small unmanned aircraft: Precise and convenient new tools for surveying wetlands

Journal of Unmanned Vehicle Systems

Volumn 1, Issue 1, 2013, Pages 15-24

  Chabot, Dominique ^a   Bird, David M ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Aerial survey; Image classification; Land cover; Remote sensing; Unmanned aircraft; Wetlands

Indexed keywords

AERIAL PHOTOGRAPHY; AIR NAVIGATION; ANTENNAS; SPECTROSCOPY; SURVEYS; VEGETATION; WETLANDS;

AERIAL IMAGERY; KAPPA COEFFICIENT; LAND COVER CLASSIFICATION; MANUAL CLASSIFICATION; SMALL UNMANNED AIRCRAFTS; SPECTRAL IMAGES; THREE CATEGORIES; UNMANNED AIRCRAFT SYSTEM;

UNMANNED AERIAL VEHICLES (UAV);

EID: 84901627181     PISSN: None     EISSN: 22913467     Source Type: Journal    
DOI: 10.1139/juvs-2013-0014     Document Type: Article

References (30)

1. Adam, E., Mutanga, O., and Rugege, D. 2010. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetlands Ecol. Manage. 18(3): 281–296. doi: 10.1007/s11273-009-9169-z.
2. Anderson, K., and Gaston, K.J. 2013. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Front. Ecol. Environ. 11(3): 138–146. doi: 10.1890/120150
3. Bogner, H.E., and Baldassarre, G.A. 2002. Home range, movement, and nesting of least bitterns in western New York. Wilson Bull. 114(3): 297–308. doi: 10.1676/0043-5643(2002)114[0297:HRMANO]2.0.CO;2
4. Bonham, C.D. 2013. Line-intercept methods. In Measurements for Terrestrial Vegetation. 2nd ed. Wiley-Blackwell, Chichester, UK. pp. 130–138.
5. Breckenridge, R.P., and Dakins, M.E. 2011. Evaluation of bare ground on rangelands using unmanned aerial vehicles: a case study. GISci. Remote Sens. 48(1): 74–85. doi: 10.2747/1548-1603.48.1.74
6. Dalamagkidis, K., Valavanis, K.P., and Piegl, L.A. 2008. On unmanned aircraft systems issues, challenges and operational restrictions preventing integration into the National Airspace System. Prog. Aeosp. Sci. 44(7–8): 503–519. doi: 10.1016/j.paerosci.2008.08.001
7. Darrah, A.J., and Krementz, D.G. 2010. Occupancy and habitat use of the least bittern and pied-billed grebe in the Illinois and Upper Mississippi River valleys. Waterbirds, 33(3): 367–375. doi: 10.1675/063.033.0314
8. Dunford, R., Michel, K., Gagnage, M., Piegay, H., and Tremelo, M.-L. 2009. Potential and constraints of unmanned aerial vehicle technology for the characterization of Mediterranean riparian forest. Int. J. Remote Sens. 30(19): 4915–4935. doi: 10.1080/01431160903023025
9. Environment Canada. 2011. Recovery strategy for the least bittern (Ixobrychus exilis) in Canada (proposed). Environment Canada. Species at Risk Act Recovery Strategy Series.
10. Finlayson, C.M., and Mitchell, D.S. 1999. Australian wetlands: the monitoring challenge. Wetl. Ecol. Manag. 7(1–2): 105–112. doi: 10.1023/A:1008437529037
11. Getzin, S., Wiegand, K., and Schoning, I. 2012. Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles. Methods Ecol. Evol. 3(2): 397–404. doi: 10.1111/j.2041-210X.2011.00158.x
12. Gilbert, H. 2011. Inventaire botanique en 2011 des étangs aménagés de Baie-du-Febvre. Rapport sommaire: Comparaisons 2005-2011. Rapport du Bureau d’écologie appliquée présenté à Environnement Canada. 16 pp.
13. Hardin, P.J., and Jackson, M.W. 2005. An unmanned aerial vehicle for rangeland photography. Range. Ecol. Manag. 58(4): 439–442.
14. Jobin, B., Latendresse, C., and Robillard, L. 2007. Habitats et inventaires du petit blongios sur les terres du Ministère de la Défense Nationale à Nicolet, Québec, étés 2004, 2005 et 2006. Canadian Wildlife Service, Environment Canada. Technical Report Series no. 482.
15. Jobin, B., Robillard, L., and Latendresse, C. 2009. Response of a least bittern (Ixobrychus exilis) population to interannual water level fluctuations. Waterbirds. 32(1): 73–80. doi: 10.1675/063.032.0108
16. Jobin, B., Fradette, P., and Labrecque, S. 2011. Habitat use by least bitterns (Ixobrychus exilis) in Quebec. Waterbirds, 34(2): 143–150. doi: 10.1675/063.034.0202
17. Koh, L.P., and Wich, S.A. 2012. Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation. Trop. Conserv. Sci. 5(2): 121–132. doi: 10.5167/uzh-72781
18. Laliberte, A.S., and Rango, A. 2011. Image processing and classification procedures for analysis of sub-decimeter imagery acquired with an unmanned aircraft over arid rangelands. GISci. Remote Sens. 48(1): 4–23. doi: 10.2747/1548-1603.48.1.4
19. Lee, K.H., and Lunetta, R.S. 1995. Wetland detection methods. In Wetland and Environmental Application of GIS. Edited by J.G. Lyon and J. McCarthy. Lewis Publishers, New York, NY. pp. 249–284.
20. Luscier, J.D., Thompson, W.L., Wilson, J.M., Gorham, B.E., and Dragut, L.D. 2006. Using digital photographs and object-based image analysis to estimate percent ground cover in vegetation plots. Front. Ecol. Environ. 4(8): 408–413.
21. McGarigal, K., and Marks, B.J. 1995. FRAGSTATS: Spatial patterns analysis program for quantifying landscape structure. United States Department of Agriculture, Pacific Northwest Research Station. General technical report PNW-GTR-351.
22. Millenium Ecosystem Assessment. 2005. Ecosystems and Human Well-being: Wetlands and Water (Synthesis). World Resources Institute, Washington, DC.
23. Moore, S., Nawrot, J.R., and Severson, J.P. 2009. Wetland-scale habitat determinants influencing least bittern use of created wetlands. Waterbirds, 32(1): 16–24. doi: 10.1675/063.032.0102
24. Poole, A.F., Lowther, P., Gibbs, J.P., Reid, F.A., and Melvin, S.M. 2009. Least bittern (Ixobrychus exilis). In The Birds of North America. Edited by A.F. Poole. Cornell Lab of Ornithology, Ithaca, NY. No. 17.
25. Post, W., and Seals, C.A. 1993. Nesting associations of least bitterns and boat-tailed grackles. Condor, 95(1): 139–144. doi: 10.2307/1369395
26. Rango, A., Laliberte, A., Herrick, J.E., Winters, C., Havstad, K., Steele, C., and Browning, D. 2009. Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management. J. Appl. Remote Sens. 3: 033542. doi: 10.1117/1.3216822
27. Rango, A., and Laliberte, A.S. 2010. Impact of flight regulations on effective use of unmanned aircraft systems for natural resources applications. J. Appl. Remote Sens. 4: 043539. doi: 10.1117/1.3474649
28. Rehm, E.M., and Baldassarre, G.A. 2007. The influence of interspersion on marsh bird abundance in New York. Wilson J. Ornithol. 119(4): 648–654. doi: 10.1676/06-060.1
29. Sim, J., and Wright, C. 2005. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys. Ther. 85(3): 257–268.
30. Watts, A.C., Perry, J.H., Smith, S.E., Burgess, M.A., Wilkinson, B.E., Szantoi, Z., Ifju, P.G., and Percival, H.F. 2010. Small unmanned aircraft systems for low-altitude aerial surveys. J. Wildl. Manage. 74(7): 1614–1619. doi: 10.2193/2009-425