Applications & Useful Links
ARM-UAV project
Stephens et al. (2000): The Department of Energy’s Atmospheric Radiation Measurement (ARM) Unmanned Aerospace Vehicle (UAV) Program, BAMS, Vol. 81, No. 12, 2915-2937.
Valero et al. (1996): Determination of clear-sky radiative flux profiles, heating rates, and optical depths using unmanned aerospace vehicles as a platform, J. Atmos. and Oceanic Tech., 13(5), 1024-1030.
The Aerosonde Robotic Aircraft - General
Holland et al. (2001): The Aerosonde Robotic Aircraft: A New Paradigm for Environmental Observations, BAMS, Vol. 82, No. 5, 889–901.
Holland et al. (1992): Autonomous Aerosondes for economical atmospheric soundings anywhere on the globe, BAMS, vol. 73, 1987–1998.
Measurements in the Arctic using the Aerosonde UAV
Curry et al. (2004): Applications of Aerosondes in the Arctic. BAMS, Vol. 85, 1855-1861
Sea Surface Temperature measurements using Aerosonde UAV
Inoue and Curry (2004): Application of Aerosondes to high-resolution observations of sea surface temperature over Barrow Canyon, Geophys. Res. Lett., 31, L14312, doi:10.1029/2004GL020336
Use of Aerosonde in Oceanography
McGeer and Holland (1996): Small Autonomous Aircraft For Economical Oceanographic Observations On A Wide Scale, Oceanography, V. 6, 3, 129–135
Measurements of Tropical Cyclone using Aerosonde UAV
Rogers et al. (2006): The Intensity Forecasting Experiment - A NOAA Multiyear Field Program For Improving Tropical Cyclone Intensity Forecasts, BAMS, Vol. 85, 1523–1537.
Comparison between Radiosounding and Aerosonde UAV measurements
Soddell et al. (2004): Intercomparison of Atmospheric Soundings from the Aerosonde and Radiosonde, J. App. Meteor., 43, 1260–1269
Measurements of Tropical Cyclone using Aerosonde UAV
Rogers et al. (2006): The Intensity Forecasting Experiment - A NOAA Multiyear Field Program For Improving Tropical Cyclone Intensity Forecasts, BAMS, Vol. 85, 1523–1537.
Comparison between Radiosounding and Aerosonde UAV measurements
Soddell et al. (2004): Intercomparison of Atmospheric Soundings from the Aerosonde and Radiosonde, J. App. Meteor., 43, 1260–1269.
Taiwan Aerosonde Team (TAT)
Lin (2006): The First Successful Typhoon Eyewall-Penetration Reconnaissance Flight Mission Conducted by the Unmanned Aerial Vehicle, Aerosonde, BAMS, vol. 87, 1481–1483
Lin and Lee (2008): The Eyewall-Penetration Reconnaissance Observation of Typhoon Longwang (2005) with Unmanned Aerial Vehicle, Aerosonde, J. Atmos. And Oceanic Tech., Vol. 25, 15–25.
Melt pond coverage on the Arctic Sea
Tschudi et al. (2008): Derivation of melt pond coverage on Arctic sea ice using MODIS observations, Remote Sensing of Environment, 112, 2605–2614.
Maldives AUAV Campaign (MAC)
Ramana et al. (2007): Albedo, atmospheric solar absorption and heating rate measurements with stacked UAVs, Q. J. R. Meteorol. Soc., 133, 1913–1931.
Ramanathan et al. (2007): Warming trends in Asia amplified by brown cloud solar absorption, Nature, Vol 448, 575–579.
Corrigan et al. (2008): Capturing vertical profiles of aerosols and black carbon over the Indian Ocean using autonomous unmanned aerial vehicles, Atmos. Chem. Phys., 8, 737–747.
Roberts et al. (2008), Simultaneous observations of aerosol– cloud–albedo interactions with three stacked unmanned aerial vehicles, PNAS, V. 105, 21, 7370–7375
Meteorological measurements using the M2AV UAV
Spiess et al. (2007): First application of the meteorological Mini-UAV ‘M2AV’, Meteorologische Zeitschrift, Vol. 16, No. 2, 159-169.
an den Kroonenberg et al. (2008): Measuring the Wind Vector Using the Autonomous Mini Aerial Vehicle M2AV, J. Atmos. and Oce. Tech., V. 25, 1969–1982.
Sounding measurements using model airplane in the Himalaya and the Andes
Egger et al. (2002): Diurnal Winds in the Himalayan Kali Gandaki Valley. Part III: Remotely Piloted Aircraft Soundings, Mon. Wea. Rev., 130, 2042–2058.
Egger et al. (2005): Diurnal Circulation of the Bolivian Altiplano. Part I: Observations, Mon. Wea. Rev., 133, 911–924.
UAV in exploration of volcanic environments
Astuti et al. (2009): An Overview of the “Volcan Project”: An UAS for Exploration of Volcanic Environments, J. Intell. Robot. Sys., 54, 471–494.
Meteorological measurements using the SUMO UAV
Reuder et al. (2009): The Small Unmanned Meteorological Observer SUMO: A new tool for atmospheric boundary layer research, Meteorologische Zeitschrift, Vol. 18, No. 2, 141-147
Research in Antarctica using the Ant-Plane UAV
Funaki et al. (2008): Outline of a small unmanned aerial vehicle (Ant-Plane) designed for Antarctic research, Polar Research, 2, 129–142
Meteorological measurements using the RPMSS UAV
Ma et al. (2004): A Miniature Robotic Plane Meteorological Sounding System, Advances in Atmospheric Sciences, V. 21, 6, 890–896
UAV application in archeology
Chiabrando et al. (2009): UAV systems for photogrammetric recording in archeological areas: problems suggestions and products, Proc. of SPIE Vol. 7478, 747807
UAV applications in agriculture and land use studies
Hunt et al. (2005): Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status, Precision Agriculture, 6, 359–378.
Rango et al. (2006): Using Unmanned Aerial Vehicles for Rangelands: Current Applications and Future Potentials, Environmental Practice 8 (3), 159–168.
Rango et al. (2009): Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management, Journal of Applied Remote Sensing, Vol. 3, 033542.
Dunford et al. (2009): Potential and constraints of Unmanned Aerial Vehicle technology for the characterization of Mediterranean riparian forest, International Journal of Remote Sensing Vol. 30, No. 19, 4915–4935.
Berni (2009): Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle, IEEE Transactions on Geoscience And Remote Sensing, VOL. 47, NO. 3, 722–738.
Useful Links
Scripps Institute for Oceanography UAV group
COST Action ES0802 - Unmanned Aerial Systems in Atmospheric Research
UAS for Severe Storm Applications
UAS resource center for earth observations
Northern Research Institute
NOAA UAS
Variability of Albedo Using an Unmanned Aerial Vehicle