PE&RS April 2015 - page 314

Corrigan, C., and V. Ramanathan, 2008a. Measurements of Black
carbon and ozone using unmanned aerial vehicles, Proceedings
of the 5th Annual California Climate Change Conference,
Scripps Institution of Oceanography, 09 September, URL: http://
www.climatechange.ca.gov/events/2008_conference/presenta-
tions/2008-09-09/Craig_Corrigan.pdf (last date accessed: 20
February 2015).
Corrigan, C.E., G.C. Roberts, M.V. Ramana, D. Kim, V. Ramanathan,
2008b. Capturing vertical profiles of aerosols and black carbon
over the Indian Ocean using autonomous unmanned aerial ve-
hicles, Atmospheric Chemistry and Physics, 8:737–747.
Costa, F.G., J. Ueyama, T. Braun, G. Pessin, F.S. Osorio, and P.A.
Vargas, 2012. The use of unmanned aerial vehicles and wireless
sensor network in agricultural applications, Proceedings of the
IEEE International Geoscience and Remote Sensing Symposium
(IGARSS 2012), 22-27 July, pp. 5045–5048.
Coyle, M., 2014. Using UAVs for search and rescue, Avalanche
Journal, 2013, 104, pp. 14, URL: https://blog.oplopanax.
ca/2014/03/avalanche-journal-article-on-uavs-in-sar/ (last date
accessed: 20 February 2015).
Cramer, M., S. Bovet, M. Gültlinger, E. Honkavaara, A. McGill, M.
Rijsdijk, M. Tabor, and V. Tournadre, 2013. On the use of RPAS
in national mapping-The EuroSDR point of view, ISPRS Annals
of the Photogrammetry, Remote Sensing and Spatial Information
Sciences, XL-1/W2:93–99.
Cruz, J.M., D. Sánchez-Benítez, G. Pajares, 2015. Sistema de aproxi-
mación a una plataforma de un vehículo no tripulado mediante
análisis visual, Spanish Patent Number ES2387144,URL: http://
www.google.com/patents/WO2012085305A1?cl=es (last date ac-
cessed: 20 February 2015).
Cummings, M., 2013. A drone in every driveway, Scientific American,
308:28–29.
Cunningham, K., G. Walker, E. Stahlke, and R. Wilson, 2011.
Cadastral audit and assessments using unmanned aerial systems.
ISPRS Annals of the Photogrammetry, Remote Sensing and
Spatial Information Sciences , XXXVIII-1/C2:213–216.
Daehler, B., 2013. CReSIS deploys to Antarctic, The Icebreaker, Fall
2013, pp. 7–9, URL: https://www.cresis.ku.edu/sites/default/
files/Icebreaker/PDF/icebreaker-fall2013.pdf (last date accessed:
20 February 2015).
Dalamagkidis, K., K. Valavanis, and L. Piegl, 2012. On integrating
unmanned aircraft systems into the national airspace system:
Issues, challenges, operational restrictions, certification, and
recommendations, Intelligent Systems, Control and Automation:
Science and Engineering, Springer-Verlag, Vol. 36.
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, 136:259–276.
Dandois, J.P., and E.C. Ellis, 2010. Remote sensing of vegetation struc-
ture using computer vision, Remote Sensing, 2:1157–1176.
Darack, E., 2012. UAVs: The new frontier for weather research and
prediction, Weatherwise, 65(2):20–27.
DeBusk, W., 2010. Unmanned aerial vehicle systems for disaster
relief: Tornado Alley, AIAA Infotech@Aerospace 2010, Atlanta,
Georgia, 10 p.
Delacourt, C., P. Allemand, M. Jaud, P. Grandjean, A. Deschamps, J.
Ammann, V. Cuq, and S. Suanez, 2009. DRELIO: An unmanned
helicopter for imaging coastal areas, Journal of Coastal Research,
2:1489–1493.
Desikan, P., K. Karunakaran, and G. Gokulnath, 2013. Design of an
Aquatic Park and salvation of endangered aquatic species in its
natural habitat, APCBEE Procedia, 5:197–202.
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 multispec-
tral imagery obtained from an unmanned aerial vehicle, Journal
of Environmental Management, 134:117–126.
Dominici, D., V. Baiocchi, A. Zavino, M. Alicandro, and M.
Elaiopoulos, 2012. Micro UAV for post seismic hazards survey-
ing in old city center of L’Aquila, Proceedings of the FIG Working
Week, 06-10 May, Rome, Italy, 15 p.
Duan, S.B., Z.L. Li, B.H. Tang, H. Wu, L. Ma, E. Zhao, and C. Li, 2013.
Land surface reflectance retrieval from hyperspectral data col-
lected by an unmanned aerial vehicle over the Baotou test site,
Plos ONE, 8(6):e66972.
Duan, S.B., Z.L., Li, H. Wu, B.H. Tang, L. Ma, E. Zhao, and C. Li,
2014. Inversion of the PROSAIL model to estimate leaf area in-
dex of maize, potato, and sunflower fields from unmanned aerial
vehicle hyperspectral data, International Journal of Applied
Earth Observation and Geoinformation, 26:12–20.
Dunford, R., K. Michel, M. Gagnage, H. Piegay, and M.L. Tremelo,
2009. Potential and constraints of unmanned aerial vehicle tech-
nology for the characterization of Mediterranean riparian forest,
International Journal of Remote Sensing, 30:4915-4935.
Dunham, K.M., 2012. Trends in populations of elephant and other
large herbivores in Gonarezhou National Park, Zimbabwe, as
revealed by sample aerial surveys, African Journal of Ecology,
50(4):476–488.
Dziubana, P.J., A. Wojnara, A. Zolicha, K. Ciseka, and W. Szumińskia,
2012. Solid state sensors - Practical implementation in un-
manned aerial vehicles (UAVs), Procedia Engineering, 47:1386–
1389.
Eck, C., and B. Imbach, 2011. Aerial magnetic sensing with an UAV
helicopter, ISPRS Annals of the Photogrammetry, Remote
Sensing and Spatial Information Sciences, XXXVIII-1/C22:
81–85.
eDroniX, 2015. eDroniX, Services and Applications, URL: http://
www.edronix.com(last date accessed: 20 February 2015).
Eisenbeiss, H., K. Lambers, M. Sauerbier, and L. Zhang, 2005.
Photogrammetric documentation of an archaeological site (Palpa,
Peru) using an autonomous model helicopter, International
Archives of Photogrammetry, Remote Sensing and Spatial
Information Sciences, 34 (5/ C34):238-243.
Eisenbeiss, H., 2006. Applications of photogrammetric process-
ing using an autonomous model helicopter, ISPRS Annals of
the Photogrammetry, Remote Sensing and Spatial Information
Sciences, 36(185):51-56.
Eisenbeiss, H., 2009. UAV Photogrammetry, Ph.D. dissertation,
Institut für Geodesie und Photogrammetrie, ETH-Zürich. Zürich,
Switzerland.
Eisenbeiss, H., and M. Sauerbier, 2011. Investigation of UAV sys-
tems and flight modes for photogrammetric applications, The
Photogrammetric Record, 26:400-421.
Eisenbeiss, H. and L. Zhang, 2006. Comparison of DSMs generated
from mini UAV imagery and terrestrial laser scanner in a cultural
heritage application, Proceedings of the ISPRS Commission V
Symposium on Image Engineering and Vision Metrology (IAPRS
2006), 25-27 September, Dresden, Vol. XXXVI, Part 5.
Emery, W.J., W.S. Good, W. Tandy, M.A. Izaguirre, and P.J. Minnett,
2014. A Microbolometer Airborne Calibrated Infrared
Radiometer: The Ball Experimental Sea Surface Temperature
(BESST) Radiometer. IEEE Transactions on Geoscience and
Remote Sensing, 52(12):7775-7781.
Esler, D., 2010. How UAVs will change aviation, Aviation Week, 07 June.
Essen, H., W. Johannes, S. Stanko, R. Sommer, A. Wahlen, and J.
Wilcke, 2012. High resolution W-band UAV SAR, Proceedings
of the IEEE Intenational Geoscience and Remote Sensing
Symposium (IGARSS), 22-27 July, Munich, Germany, pp.
5033–5036.
European Commission, 2007. Study analysing the current activities
in the field of UAV, Technical Report, ENTR/2007/065, Second
Element: Way Forward, URL: http://ec.europa.eu/enterprise /
policies/security/files/uav_study_element_2_en.pdf (last date
accessed: 20 February 2015).
Everaerts, J., 2008. The use of unmanned aerial vehicles (UAVS) for
remote sensing and mapping, The International Archives of
the Photogrammetry, Remote Sensing and Spatial Information
Sciences, Beijing, China, Vol. XXXVII. Part B1:1187-1191.
Expansión, 2015. Drones para todos los gustos (Drones for every-
one), URL: http://www.expansion.com/2015/02/01/directi-
vos/1422815728.html?cid=SIN8901, http://fueradeserie.expan-
sion.com/2015/02/05/tecnopolis/1423125897.html (last date
accessed: 20 February 2015).
314 April 2015 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING