This paper session explores the use of UAS in studying small extent landscapes and how their rapid advancement is transforming our knowledge of the landscape.
The use of unmanned aerial systems (UAS) and remotely piloted aircraft have drastically changed how geographers study landscapes. UAS allows us to take rapid and repeated measurements and fill the gap between in-situ methods and satellite remote sensing, changing the scale at which we can study landscapes. Their use is transforming our understanding of the environment, ecology, agriculture, and other related fields. UAS are increasingly used to study small extent areas and can often effectively replace terrestrial methods of data collection. For example, UAS data are used to capture small extent gaps in the canopy that most satellite imagery would not detect and that would be more time-consuming to measure in-situ.
|Presenter||Michael Edward Hodgson*, University of South Carolina, Silvia Elena Piovan, University of Padova, Small Unmanned Airborne System for Image Collection of Canopy Covered Incised Stream||15||8:00 AM|
|Presenter||Claire Gilbert*, , Analysis of Wetland Species Interaction with Spatial Extent and Density of Associated Vegetation Types in Ludington State Park, Michigan||15||8:15 AM|
|Presenter||Chippie Kislik*, UC Berkeley, Laurel Genzoli, University of Montana, Maggi Kelly, UC Berkeley, Application of Unmanned Aerial Vehicle Imagery to Quantify Benthic Primary Producer Assemblages in the Lower Klamath River, California||15||8:30 AM|
|Presenter||Gernot Paulus*, School of Geoinformation, Carinthia University of Applied Sciences, Karl-Heinrich Anders, School of Geoinformation, Carinthia University of Applied Sciences, Peter Mayr, iC flussbau GmbH, Rudi Schneeberger, Viewcopter e.U., Thomas Piechl, Carinthian Provincial Government, Department 8 Environment, Water and Nature Conservation , UAS MultiView Stereo Photogrammetry for Shallow Water Bathymetry in Lakes: Empirical Comparison with Echo Sounding Reference Data||15||8:45 AM|
|Presenter||Grayson Morgan*, University of South Carolina, Michael Hodgson, University of South Carolina, Determining a Confidence Interval for Repeat sUAS Imagery to Assess Vegetation Cover Change||15||9:00 AM|
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