Siam, M., and M. ElHelw, 2012. Robust autonomous visual detection
and tracking of moving targets in UAV imagery,
Proceedings
of the IEEE 11
th
International Conference on Signal Processing
(ICSP), 21-25 October, Beijing, China, Vol. 2, pp. 1060–1066.
Siebert, S., and J. Teizer, 2014. Mobile 3D mapping for surveying
earthwork projects using an unmanned aerial vehicle (UAV)
system,
Automation in Construction
, 41:1–14.
Siminski, J., 2014. Fukushima Plant’s radiation levels monitored with
a UAV, URL:
-
japan-uav/
(last date accessed: 20 February 2015).
Sinha, A., A, Tsourdos, and B. White, 2009. Multi UAV coordination
for tracking the dispersion of a contaminant cloud in an urban
region,
European Journal of Control
, 3-4:441–448.
Skoglar, P., U. Orguner, D. Törnqvist, and F. Gustafsson, 2012. Road
target search and tracking with gimballed vision sensor on an
unmanned aerial vehicle,
Remote Sens
ing, 4:2076–2111.
Smídl, V., and R. Hofman, 2013. Tracking of atmospheric release
of pollution using unmanned aerial vehicles,
Atmospheric
Environment
, 67:1–12.
Smith, J.G., J. Dehn, R.P. Hoblitt, R.G. LaHusen, J.B. Lowenstern, S.C.
Moran, L. McClelland, K.A. McGee, M. Nathenson, P.G. Okubo,
J.S. Pallister, M.P. Poland, J.A. Power, D.J. Schneider, and T.W.
Sisson, 2009. Volcano monitoring,
Geological Monitoring
(R.
Young, and L. Norby, editors), Boulder, Colorado: Geological
Society of America, pp. 273–305.
Sobester, A., S.J. Johnston, J.P. Scanlan, E.E. Hart, and N.S. O’Brien,
2012. Rapid development of bespoke unmanned platforms for at-
mospheric science,
Geophysical Research Abstracts
, Vol. 14, EGU
General Assembly 2012, 22-27 April, Vienna, Austria, pp. 11103,
URL:
(last
date accessed: 20 February 2015).
Sobester, A., S.J. Johnston, J. Scanlan, N. O’Brien, E. Hart, C. Crispin,
and S. Cox, 2011. High altitude unmanned air system for atmo-
spheric science missions,
American Institute of Aeronautics and
Astronautics
, Reston, Virginia, 17 pages.
Sullivan, D.G., J.P. Fulton, J.N. Shaw, and G. Bland, 2007. Evaluating
the sensitivity of an unmanned thermal infrared aerial system
to detect water stress in a cotton canopy,
Transactions of the
American Society of Agricultural Engineers
, 50(6):1955–1962.
Suomalainen, J., N. Anders, S. Iqbal, G. Roerink, J. Franke, P.
Wenting, D. Hünniger, H. Bartholomeus, R. Becker, and L.
Kooistra, 2014. A lightweight hyperspectral mapping system and
photogrammetric processing chain for unmanned aerial vehicles,
Remote Sensing
, 6:11013–11030.
Stagakis, S., V. González-Dugo, P. Cid, M.L. Guillén-Climent, and P.J.
Zarco-Tejada, 2012. Monitoring water stress and fruit quality in
an orange orchard under regulated deficit irrigation using narrow-
band structural and physiological remote sensing indices,
ISPRS
Journal of Photogrammetry and Remote Sensing
, 71:47–61.
Stefanakis, D., J.N. Hatzopoulous, N.S. Margaris, and N.G. Danalatos,
2013. Creation of a remote sensing unmanned aerial system
(UAS) for precision agriculture and related mapping applica-
tions,
Proceedings of the 2013 ASPRS Annual Conference
, 24-28
March, Baltimore, Maryland, 13 p.
Stefanik, K.V., J.C. Gassaway, K. Kochersberger, and L. Abbott,
2011. UAV-based stereo vision for rapid aerial terrain mapping,
GIScience and Remote Sensing
, 48(1):24–49.
Stødle, D., N.T. Borch, S.A. Solbø, and R. Storvold, 2014. High per-
formance visualisation of UAV sensor and image data with raster
maps and topography in 3D,
International Journal for Image and
Data Fusion
, 5(3):244–262.
Strecha, C., 2011. Automated photogrammetric techniques on ultra-
light UAV imagery,
Proceedings of the 53
rd
Photogrammetric
Week
, Institut für Photogrammetrie, Universität Stuttgart, pp.
289–294.
Strecha, C., A. Fletcher, A. Lechner, P. Erskine, and P. Fua, 2012.
Developing species specific vegetation maps using multi-
spectral hyperspatial imagery from unmanned aerial vehicles,
Proceedings of the XXII ISPRS Annals of Photogrammetry,
Remote Sensing and Spatial Information Sciences
, 25 August-01
September, Melbourne, Australia, pp. 311–316.
Strojny, B.T., and R.G. Rojas, 2009. Integration of conformal GPS and
VHF/UHF communication antennas for small UAV applications,
Proceedings of the 3
rd
European Conference on Antennas and
Propagation (EuCAP 2009)
, 23-27 March, Berlin, Germany, pp.
2488–2492.
Stumpf, A., T.A. Lampert, J. Malet, and N. Kerle, 2012. Multi-scale
line detection for landslide fissure mapping,
Proceedings of the
IEEE International Geoscience and Remote Sensing Symposium
(IGARSS)
, 22-27 July, Munich, Germany, pp. 5450–5453.
Stumpf, A., J.P. Malet, N. Kerle, U. Niethammer, and S. Rothmund,
2013. Image-based mapping of surface fissures for the investiga-
tion of landslide dynamics,
Geomorphology
, 186:12–27.
Sugiura, R., N. Noguchi, and K. Ishii, 2005. Remote-sensing technol-
ogy for vegetation monitoring using an unmanned helicopter,
Biosystems Engineering
, 90 (4):369–379.
Suzuki, T., Y. Amano, T. Hashizume, S. Suzuki, and A. Yamaba, 2010.
Generation of large mosaic images for vegetation monitoring
using a small unmanned aerial vehicle,
Journal of Robotics and
Mechatronics
, 22(2):212–220.
Swain, K.C., and Q.U. Zaman, 2012. Rice crop monitoring with un-
manned helicopter remote sensing images (Chapter 12),
Remote
Sensing of Biomass-Principles and Applications
(T. Fatoyinbo,
editor), InTech, pp. 252–273.
Swain, K.C., S.J. Thomson, and H.P.W. Jayasuriya, 2010. Adoption
of an unmanned helicopter for low-altitude remote sensing to
estimate yield and total biomass of a rice crop,
Transactions
of the ASABE American Society of Agricultural and Biological
Engineers
, Vol. 53(1):21–27.
Symington, A., S. Waharte, S.J. Julier, and N. Trigoni, 2010.
Probabilistic target detection by camera-equipped UAVs,
Proceedings of the IEEE International Conference on Robotics
and Automation (ICRA)
, 03-08 May, Anchorage, Alaska, pp.
4076–4081.
Tahar, K.N., A. Ahmad, and W. Akib, 2011. Unmanned aerial vehicle
technology for low cost landslide mapping,
Proceedings of the
11
th
South East Asian Survey Congress and 13
th
International
Surveyors Congress
, Kuala Lumpur, pp. 22–31.
Tahar, K.N., A. Ahmad, W. Akib, and W. Mohd, 2012. A new
approach on production of slope map using autonomous
unmanned aerial vehicle,
International Journal of Physical
Sciences
7(42):5678-5686.
Tao, W., Y. Lei, and P. Mooney, 2011. Dense point cloud extraction
from UAV captured images in forest area,
Proceedings of the
2011 IEEE International Conference on Spatial Data Mining
and Geographical Knowledge Services
, 29 June-01 July, Fuzhou,
China, pp. 389–392.
Templeton, R.C., E.R. Vivoni, L.A. Méndez-Barroso, N.A. Pierini, C.A.
Anderson, A. Rango, A.S. Laliberte, and R.S. Scott, 2014. High-
resolution characterization of a semiarid watershed: Implications on
evapotranspiration estimates,
Journal of Hydrology
, 509:306–319.
Thamrin, N.M., N.H.M. Arshad, R. Adnan, R. Sam, N.A. Razak,
M.F. Misnan, S.F. Mahmud, 2012. Simultaneous localization
and mapping based real-time inter-row tree tracking technique
for unmanned aerial vehicle,
Proceedings of the 2012 IEEE
International Conference on Control System, Computing and
Engineering
, 12–17 July, Penang, Malaysia, pp. 322–327.
The UAV, 2014. The UAV unmanned aerial vehicle, URL:
.
theuav.com/
(last date accessed: 20 February 2015).
Thornton, P.K., R.H. Fawcett, J.B. Dent, and T.J. Perkins, 1990. Spatial
weed distribution and economic thresholds for weed control,
Crop Protection
, 9(5):337–342.
Thurston, A., 2013. National Geographic uses drones/robots to
photograph lions,
SRL Lounge
, URL:
wildlife-cheaters-national-geographic-uses-dronesrobots-to-
photograph-lions/
(last date accessed: 20 February 2015).
Tokekar, P., J.V. Hook, D. Mulla, and V. Isler, 2013. Sensor planning
for a symbiotic UAV and UGV system for precision agriculture,
Proceedings of the 2013 IEEE/RSJ International Conference on
Intelligent Robots and Systems
(IROS)
, 03–07 November, Tokyo,
Japan, pp. 5321–5326.
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
April 2015
325
