B012
Agriculture, Forestry and Natural Resources Monitoring with Small Unmanned Aircraft Systems

Session ID#: 81831

Session Description:
In recent years, there have been swift technological advances and significant investments made in the unmanned aviation sector. The commoditization of small unmanned aircraft systems (sUAS) has led to many new and innovative applications across environmental monitoring. However, there are still more research topics to be explored for these new and innovative data streams. Therefore, this session seeks research utilizing active, passive, tower- and ground-based platforms technologies on unmanned aerial system as well exploring the science and applications of unmanned systems for environmental monitoring.
Index Terms:

0480 Remote sensing [BIOGEOSCIENCES]

Primary Convener:  Sanaz Shafian, University of Idaho, Moscow, ID, United States and Michael Cosh
Conveners:  Michael H Cosh, U. S. Dept. of Agriculture, Beltsville, MD, United States, Jason Karl, USDA-ARS Jornada Exp. Range, Las Cruces, NM, United States and Michael Cosh
Primary Liaison:  Ebrahim Babaeian, University of Arizona, Soil, Water, and Environmental Science, Tucson, AZ, United States and Michael Cosh
 
Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery (486519)
Ze Tang1, Yangjian Zhang2, Nan Cong1 and Li Wang3, (1)Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (3)Peking University Shenzhen Graduate School, Shenzhen, China
 
Fly Another Day: Spying on Vegetation with Drones in Semi-Arid Rangelands (502664)
Anna Roser, Boise, ID, United States, Nancy F Glenn, Boise State Univ, Boise, ID, United States, Pat Clark, USDA Agriculture Research Service, Boise, ID, United States, Marie-Anne De Graaff, Boise State University, Boise, ID, United States and Timothy Trevor Caughlin, Boise State University, Department of Biological Science, Boise, United States
 
Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany (536085)
Katharina Fricke1, Björn Baschek2, Maryam Asgari3, Jens Bongartz4, Andreas Burkart5, Filip Dzunic6, Maike Heuner7, Alexander Jenal3, Caspar Kneer3, Tina Mölter6, Paul Näthe5, Ina Quick8, Gilles Rock6, Edvinas Rommel7, Uwe Schröder7, Immanuel Weber3 and Svenja Wick8, (1)German Federal Institute of Hydrology (BfG), Department Geoinformation and Remote Sensing, GRDC, Koblenz, Germany, (2)German Federal Institute of Hydrology (BfG), Department Geo-Information and Remote Sensing, GRDC, Koblenz, Germany, (3)University of Applied Sciences Koblenz, Application Centre for Machine Learning and Sensor Technology AMLS, Remagen, Germany, (4)University of Applied Sciences Koblenz, Application Centre for Machine Learning and Sensor Technology AMLS, Remage, Germany, (5)JB Hyperspectral devices, Düsseldorf, Germany, (6)Geocoptix, Trier, Germany, (7)German Federal Institute of Hydrology (BfG), Department Vegetation Studies, Landscape Management, Koblenz, Germany, (8)German Federal Institute of Hydrology (BfG), Department Fluvial Morphology, Sediment Dynamics and Management, Koblenz, Germany
 
Introducing DeLeaves, a proven device to collect branches from forest canopies using an unmanned aerial vehicle (UAV) (556029)
Alexis lussier Desbiens1, Guillaume Charron1, Hughes La Vigne1, Samantha Rose Weintraub2 and David Durden2, (1)Université de Sherbrooke, Sherbrooke, Canada, (2)National Ecological Observatory Network, Battelle, Boulder, CO, United States
 
FragMAP: a tool for long-term and cooperative monitoring and analysis of fragile ecosystem using an unmanned aerial vehicle (560726)
Yi Sun and Shuhua Yi, Nantong University, Nantong, China
 
Comparative Assessment of Landsat-8 Satellite and UAV Derived NDVI with Spectro-Radiometer Observations for Crop Monitoring (578201)
Akshay Pandey, Indian Institute of Technology Roorkee, Roorkee, India and Kamal Jain, Professor, Indian Institute of Technology Roorkee, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India
 
Modelling top-of-canopy irradiance and understory light availability in a heterogenous landscape using drone-derived structural parameters (593879)
Dominic Fawcett1, Karen Anderson1 and Jon Bennie2, (1)University of Exeter, Environment and Sustainability Institute, Penryn, United Kingdom, (2)University of Exeter, Geography, Penryn, United Kingdom
 
Characterization of Canopy Anisotropies Over a Forested Area using a Multispectral Imager Integrated into an Unmanned Aerial System: the Droniometer Experiment (607203)
Sergio Bernardes, Center for Geospatial Research - University of Georgia, Department of Geography, Athens, GA, United States and Marguerite Madden, University of Georgia, Geography, Athens, GA, United States
 
Automatic forest plot structure characterization from terrestrial and UAV-based point clouds (609646)
Carlos Cabo1,2, Cristina Santin3, Andrew T Hudak4, Elena Canga2, Covadonga Prendes2 and Celestino Ordoñez1, (1)University of Oviedo, Explotación y Prospección de Minas, Oviedo, Spain, (2)CETEMAS, Centro Tecnológico y Forestal de la Madera, Área de Desarrollo Forestal Sostenible, Carbayín, Spain, (3)Swansea University, Swansea, United Kingdom, (4)USDA Forest Service, Rocky Mountain Research Station, Moscow, ID, United States
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