UAS Symposium: Geospatial Research Using UAS - Pix4D Poster Competition

Type: Poster
Theme:
Sponsor Groups: , Pix4D
Poster #:
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Organizers: Jeffrey Miller, Adam Mathews
Chairs:

Call for Submissions

Unmanned aircraft systems (UAS), also known as drones, have become an integral tool for conducting geospatial research. They provide the ability to capture on-demand data, and when used in conjunction with the processing software Pix4D, they empower users to create specialized maps and 3D-models. This unique combination of tools allows for limitless possibilities for geographers.


In this poster session, presenters will provide insights into how they are using UAS to address a variety of research objectives spanning a range of subfields. Poster presentations should cover research with UAS technology, including the use of a multitude of sensors, to process and classify UAS-derived data.


Attention UAS researchers! Pix4D is hosting a pair of poster contests at AAG - one for students and one for non-students. See Description for more info.


Description

For Students:
The student must be the lead author of the research. Additional students may co-author. One faculty member may co-author. Include the lead author’s name, student/faculty co-authors if any, school, and contact information. The abstract should consist of the title, and a description of the poster in less than 250 words. The abstract should summarize the use of UAS (or other image acquisition platform), Pix4D, and/or Drone2Map, and clearly define the objectives of the research, methodology, and conclusions. Presenters will be chosen from submitted abstracts to participate in the poster competition. The poster to be showcased at the semi-final and the final must include the following: Title Name(s) of author(s) and affiliated school(s), Abstract (brief summary of objectives, methods, results, and conclusions), Background Information, Research Objectives, Materials, Methodology, and Conclusions. First place includes a cash award and recognition in a Pix4D blog post. The first and second runners-up will also receive a cash award.

Eligibility: Undergraduate and graduate students
1st place = $500, 2nd place = $300, 3rd place = $200

Non-students:
Include the lead author’s name, student/faculty co-authors if any, school, and contact information. The abstract should consist of the title, and a description of the poster in less than 250 words. The abstract should summarize the use of UAS (or other image acquisition platform), Pix4D, and/or Drone2Map, and clearly define the objectives of the research, methodology, and conclusions. Presenters will be chosen from submitted abstracts to participate in the poster competition. The poster to be showcased at the semi-final and the final must include the following: Title Name(s) of author(s) and affiliated school(s), Abstract (brief summary of objectives, methods, results, and conclusions), Background Information, Research Objectives, Materials, Methodology, and Conclusions. First place includes a cash award and recognition in a Pix4D blog post. The first and second runners-up will also receive a cash award.

Eligibility: Faculty and/or professionals
1st place = $500 + published article in Pix4D Newsletter, 2nd place = $300, 2 honorable mentions = $100/each

Criteria and Scoring
Pix4D must be used in some capacity. Points will be awarded based on the following:
Originality of Work - 25 (points)
Aesthetics of Display - 10
Clarity of display - 10
Clarity of presentation (Was the presentation easy to understand? Were difficult concepts explained clearly? Was sufficient background information provided? - 15
Scientific Method - 15 points
Knowledge of overall content (Can the presenter think beyond the work presented?) - 15
Ability to answer questions - 10
Total - 100 Points

Please submit your abstracts for the poster contest to the contact listed by January 31st.


Agenda

ID Title Participant
0012 Integrating Multispectral and Unmanned Aerial Vehicle Thermal Infrared Remote Sensing With In-Situ Radon Measurements to Detect Submarine Groundwater Discharge in Onslow Bay, NC Raymond Moore
University of North Carolina - Wilmington
0013 Open Source Tools for Drone Data Management Andrew Lyons
Univeristy of California
0014 Influence of Software Selection on 2D and 3D Elevation Correspondence Using sUAS Structure-from-Motion and Multi-View-Stereo Photogrammetry Jonathon Chester
Department of Ecosystem Science and Management
0015 Surveying Practices in the Drone Age: An Accuracy and Slope Assessment of UAV-Derived Products Duncan MacIntosh
California State University, Long Beach
0016 Creating a 3D model of the town of Morrison, Colorado from unmanned aircraft systems (UAS) data Sophie-Min Thomson
University of Denver
0017 Gaining Efficiency in 3D Modeling by using a Drone Amanda Adams
0018 Disaster Mapping: Using UAS to Assess Hurricane Damage at Mexico Beach, FL Austin Bush
Auburn University
0019 Three-dimensional characterization of grapevine canopy using UAV-SfM point clouds Christina Woehrle
Oklahoma State University
0020 Examining the effects of spatial resolution on the ability of UAV imagery to detect the invasive plant species Phragmites australis on the Shiawassee National Wildlife Refuge, Michigan, USA Zachary Schwab
Saginaw Valley State University
021 Integrating and Comparing two Remote Sensing Techniques to Quantify Organic Sediment Volume for a Dam Rehabilitation Project at a Pocono Mountain Lake in the Delaware State Forest, Pennsylvania Chad Freed
Widener University
022 Use of µUAS in enhancing/validating SLAMM Model predictions of Sea Level Rise and Coastal Wetland Migration Pathways. Scott Graves
Southern Connecticut State University

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