B41D:
New Paradigms in Terrestrial Sensing Using Small Unmanned Aerial Systems Posters


Session ID#: 8450

Session Description:
A new and important paradigm is emerging in our ability to quantify terrestrial ecosystems through the use of small unmanned aerial systems (UASs) equipped with active and passive sensor technologies. These systems allow for collection of data over a wide range of spatial and temporal scales not currently possible with other platforms. Measurements from these systems can be used to investigate surface topography and hydrology, to examine vegetation properties and their interactions with soil processes, to parameterize soil-vegetation-atmosphere models, to detect ecological or biogeochemical hotspots, or to improve upscaling from ground-based survey to larger scales. We encourage contributions that present advances in remotely sensing the terrestrial ecosystems using various sensors (incl. visible, hyperspectral, thermal, LiDAR and gas sensors) mounted on an UASs (e.g., unmanned aircraft vehicle, balloon, kite, cart, pole), as well as novel approaches to calibrate, process and/or integrate such data with ground-based biogeochemical, hydrological, geophysical or ecological measurements.
Primary Convener:  Baptiste Dafflon, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Conveners:  Sebastien Biraud, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Dr. Shawn Serbin, BA, MS, PhD, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, United States
Chairs:  Sebastien Biraud, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Dr. Shawn Serbin, BA, MS, PhD, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, United States
OSPA Liaison:  Baptiste Dafflon, Lawrence Berkeley National Laboratory, Berkeley, CA, United States

Cross-Listed:
  • C - Cryosphere
  • H - Hydrology
  • NS - Near Surface Geophysics
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0452 Instruments and techniques [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

UAS and DTS: Using Drones and Fiber Optics to Measure High Resolution Temperature of the Atmospheric Boundary Layer (82795)
Robert A Predosa1, Baptiste Darricau1,2 and Chad W Higgins3, (1)Oregon State University, Water Resource Engineering, Corvallis, OR, United States, (2)The École nationale supérieure d'électronique, d'électrotechnique, d'informatique, d'hydraulique et des télécommunications, Tullos, France, (3)Oregon State University, Biological & Ecological Engineering, Corvallis, OR, United States
Development and Deployment of Unmanned Aircraft Instrumentation for Measuring Quantities Related to Land Surface-Atmosphere Interactions (Invited) (65246)
Gijs de Boer1, Dale Lawrence2, Jack Steward Elston2, Brian M. Argrow3, Scott E Palo4, Nathan Curry2, William Finamore2, James Mack2, Gabriel LoDolce2, Beat Schmid5, Charles N. Long6, Geoff Bland7, James A Maslanik8, Ru-Shan Gao9, Hagen Telg10, Steven Semmer11, Gordon Maclean11, Mark Ivey12, Terrence F. Hock11, Bruce Bartram9, Albert Bendure12 and Maciej Stachura13, (1)University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (2)University of Colorado at Boulder, Boulder, CO, United States, (3)University of Colorado at Boulder, Aerospace Engineering Sciences, Boulder, United States, (4)University of Colorado Boulder, Ann and H.J. Smead Aerospace Engineering Sciences, Boulder, CO, United States, (5)Pacific Northwest National Laboratory, Richland, WA, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (7)NASA Goddard Space Flight Center, Climate and Radiation Laboratory, Greenbelt, MD, United States, (8)University of Colorado at Boulder, CCAR, Boulder, CO, United States, (9)NOAA Boulder, Boulder, CO, United States, (10)NOAA Boulder, GML, Boulder, CO, United States, (11)National Center for Atmospheric Research, Boulder, CO, United States, (12)Sandia National Labs, Albuquerque, NM, United States, (13)Black Swift Technologies LLC, Boulder, CO, United States
Quantifying the Representation Error of Land Biosphere Models using High Resolution Footprint Analyses and UAS Observations (70695)
Chad V Hanson1, Andres Schmidt1, Beverly Elizabeth Law1 and Whitney Moore2, (1)Oregon State University, Corvallis, OR, United States, (2)Oregon State University, Department of Forest Ecosystems and Society, Corvallis, OR, United States
UAS-Borne Photogrammetry for Surface Topographic Characterization: A Ground-Truth Baseline for Future Change Detection and Refinement of Scaled Remotely-Sensed Datasets (82557)
Emily S Schultz-Fellenz1, Ryan Coppersmith2, Aviva J Sussman3, Steve Vigil4, Robert Dzur5, Katherine Norskog6, Richard Kelley7 and Liz Miller7, (1)Los Alamos National Laboratory, EES-14, Los Alamos, NM, United States, (2)Coppersmith Consulting Inc., Walnut Creek, CA, United States, (3)Los Alamos National Laboratory, Geophysics Group, Los Alamos, NM, United States, (4)Sandia National Laboratories, Albuquerque, NM, United States, (5)Bohannon Huston, Inc., Albuquerque, NM, United States, (6)Tulane University, Earth and Environmental Sciences, New Orleans, LA, United States, (7)Los Alamos National Laboratory, Los Alamos, NM, United States
Assessing the Utility of Alternate Digital Image Color Space for Deriving Phenological Dynamics in a High-Arctic Tundra Ecosystem (82122)
Sergio A Vargas Zesati1, Steven F Oberbauer2, Gesuri Ramirez1, Geovany A Ramirez3, Craig E. Tweedie1, Robert D Hollister4, Stephen Michael Escarzaga1 and Emmanuel Ochoa1, (1)University of Texas at El Paso, El Paso, TX, United States, (2)Florida International University, Biological Sciences, Miami, FL, United States, (3)Jornada Basin LTER, New Mexico State University, Las Cruces, NM, United States, (4)Grand Valley State Univ, Allendale, MI, United States
Repeat, Low Altitude Measurements of Vegetation Status and Biomass Using Manned Aerial and UAS Imagery in a Piñon-Juniper Woodland (Invited) (83130)
Daniel J Krofcheck1, Christopher Lippitt1, Andrew Loerch1 and Marcy E Litvak2, (1)University of New Mexico Main Campus, Albuquerque, NM, United States, (2)University of New Mexico, Department of Biology, Albuquerque, United States
Development of an Unmanned Aerial System (UAS) for Scaling Terrestrial Ecosystem Traits (72771)
Ran Meng, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, Andrew M McMahon, Brookhaven National Laboratory, Biological, Environmental & Climate Sciences Department, Upton, NY, United States, Dr. Shawn Serbin, BA, MS, PhD, Brookhaven National Laboratory, Biological, Environmental & Climate Sciences, Upton, NY, United States and Alistair Rogers, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, United States
Estimating Soil Properties and Relationship to Landscape Properties in Arctic Tundra using Aerial Platform and Geophysical Monitoring (73561)
Baptiste Dafflon1, John Peterson1, Rusen Oktem2, John Bryan Curtis1, Craig Ulrich1, Margaret S Torn3 and Susan S. Hubbard4, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of California Berkeley, Earth and Planetary Science, Berkeley, CA, United States, (3)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States, (4)Oak Ridge National Laboratory, Oak Ridge, TN, United States
Multi-temporal UAV based data for mapping crop type and structure in smallholder dominated Tanzanian agricultural landscape (80917)
Jyoteshwar R Nagol1, Caspar Chung2, Jan Dempewolf3, Sixbert Maurice4, Winfred Mbungu4 and Siza Tumbo4, (1)Bayer, Crop Science, St. Louis, United States, (2)Northeastern University, Boston, MA, United States, (3)University of Maryland, College Park, MD, United States, (4)Sokoine University of Agriculture, Morogoro, Tanzania
Dispersed and piled woody residues volumes in coastal Douglas-fir cutblocks determined using high-resolution imagery from a UAV and from ground-based surveys. (75776)
John A Trofymow1,2 and François Gougeon2, (1)University of Victoria, Biology, Victoria, BC, Canada, (2)Natural Resources Canada, Canadian Forest Service, Victoria, BC, Canada
Lightweight Vertical Take-Off & Landing Unmanned Aerial Systems For Local-Scale Forestry and Agriculture Remote Sensing Data Collection (83341)
Eric Putman1, Ryan Sheridan1, Sorin C Popescu2 and LASERs Lab, Texas A&M University, (1)Texas A & M University College Station, College Station, TX, United States, (2)Texas A&M University, Department of Ecology and Conservation Biology, College Station, United States
Direct Penguin Counting Using Unmanned Aerial Vehicle Image (72114)
Chang-Uk Hyun1, Hyun Cheol Kim2, Jeong-Hoon Kim1 and Soon-Gyu Hong3, (1)Korea Polar Research Institute, Incheon, South Korea, (2)Korea Polar Research Institute, Incheon, Korea, Republic of (South), (3)Korea Polar Research Institute, Division of Polar Life Sciences, Incheon, South Korea

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