The University of Florida Unmanned Aircraft Systems Research Program: Lessons Learned and an Update on Selected Natural Resources Applications
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1 The University of Florida Unmanned Aircraft Systems Research Program: Lessons Learned and an Update on Selected Natural Resources Applications Matthew A. Burgess R.R. Carthy, B.E. Wilkinson, T.J. Whitley, T.S. Ward, J.G. DiRodio, P.C. Frederick, P.G. Ifju, S.E. Smith, A.H. Abd-Elrahman, and H.F. Percival University of Florida Gainesville, Florida
2 Brief Overview of the UFUASRP -In our 15 th year of existence -Natural resource-based applications from the very beginning -Approach from the natural resource scientist point of view; simplicity of use and budget -Over last seven years, interest in suas for natural resources has grown exponentially -Truly interdisciplinary research program -As of March 13, 2015, we have 14 active FAA Certificates of Authorization; three additional pending
3 Lessons Learned -Extremely lengthy list of lessons learned -15 years of experience provides that -Three major lessons: 1) One Size Does Not Fit All 2) Start With the Scientific Question 3) Be Patient and Adaptive
4 1) One Size Does Not Fit All -Airframe 1) Design -Fixed-wing -Rotor-wing 2) Power Source -Liquid (wet) fuel -Battery 3) Physical Size -Micro UAS -Large UAS 4) Altitude/Temperature
5 UFUASRP Airframe Evolution UF Tadpole (2004-5) MLB Fold Bat (2002-3) UF Polaris/Nova (2006-8) UF Nova 2 (2008-9)
6 UF Nova 2.1 suas -9 ft. wingspan -14 lbs. fully loaded -Hand launchable -Built in-house -Amphibious -50 min. runtime
7 DJI Spreading Wings S1000+ Octocopter suas -3.5 ft. diameter lbs. takeoff -Portable -Rugged -Autonomous -20 min. runtime
8 1) One Size Does Not Fit All -Sensor Payload 1) RGB and NIR -Resolution -Triggering 2) Multispectral and Hyperspectral -Spectral Range -Triggering - -Cost 3) Thermal -Resolution -Georeferencing
9 UFUASRP Optical Payloads Evolution Canon Elura 2 MC Canon PowerShot A640 Olympus E-420
10 Optical Sensor RGB and NIR Evolution Olympus E-420 Canon EOS 2Ti Sony A7R Canon EOS-M Sony A6000 Canon EOS SL1
11 Optical Sensor Thermal, Multispectral and Hyperspectral, and HD Video FLIR Photon Thermal GoPro Hero 3 Imperx B6640 Multispectral Rikola Hyperspectral FLIR A65 SC Thermal GoPro Hero 4
12 2) Start With the Scientific Question
13 2) Start With the Scientific Question Start
14 2) Start With the Scientific Question Start
15 2) Start With the Scientific Question Start
16 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION)
17 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start
18 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME)
19 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME)
20 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start
21 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR)
22 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR)
23 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR) QUESTION
24 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR) QUESTION SENSOR
25 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR) QUESTION SENSOR AIRFRAME
26 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR) QUESTION SENSOR AIRFRAME PRODUCT
27 2) Start With the Scientific Question Start (SCIENTIFIC QUESTION) Start (AIRFRAME) Start (SENSOR) QUESTION SENSOR AIRFRAME PRODUCT
28 2) Start With the Scientific Question -What is your SCIENTIFIC QUESTION? Define your target! -What is your desired END PRODUCT? Individual images (samples), a mosaic (contiguous map or layer), a video (documentation of behavior), etc. -What KINDS OF DATA do you need to collect to produce your end product? Identify the sensors that can deliver those data.
29 2) Start With the Scientific Question -Based on your sensor or sensor suite, select a SUITABLE AIRFRAME as a platform for your sensors. Capacity, runtime, sound, area, etc. -What is your plan to collect SCIENTIFICALLY SIGNIFICANT DATA? Consult your statistician before you head out into the field! -What is your plan for POST-PROCESSING the data collected? Do it yourself, contract it out to an expert, have a student do it, etc. -What do you intend to do about ARCHIVING the data? File sizes are getting bigger
30 3) Be Patient and Adaptive -Emerging Technology 1) Authorizations/Regulations/Approvals 2) Perceptions/Misinformation 3) Contentious/Touchy 4) Adaptation/Compliance/Murphy s Law -Use Due Diligence
31 -International Traffic in Arms Regulations (ITAR) -Export Administration Regulations (EAR)» United States Munitions List; Commerce Control List Authorizations/Regulations/Approvals -Certificate of Authorization -Aircraft Airworthiness -Crew Certification -Local Permission -Notice to Airmen -Flight Restrictions -Failsafe Approvals -Bureau/Service Rules
32 Authorizations/Regulations/Approvals Office of Aviation Services (OAS)
33 Update on Several Applications - American White Pelican Nesting in Idaho - Brown Pelican Nesting off the Florida Gulf Coast - Precision Agriculture - Emergent Wetland Vegetation Classification - Temporal Aerial Imagery of Selected Rehabilitation Efforts in the Greater Everglades
34 American White Pelican Nesting
35 American White Pelican Nesting
36 American White Pelican Nesting
37 Brown Pelican Nesting
38 Brown Pelican Nesting
39 Precision Agriculture
40 Wetland Vegetation Classification
41 Wetland Vegetation Classification
42 Temporal Imagery Analysis
43 Be Adaptive: Payload Options Manned Aircraft
44 Temporal Imagery Analysis
45 Temporal Imagery Analysis
46 Temporal Aerial Imagery Analysis
47 Temporal Aerial Imagery Analysis
48 What is Your Target?
49 UF UAS Research Program Dr. H. Franklin Percival, UF WEC/Program Director Mr. Matthew A. Burgess, UF WEC/Program Coordinator Dr. Raymond R. Carthy, UF WEC/Wildlife Lead Mr. Joseph G. DiRodio, UF WEC/Chief Pilot Dr. Peter C. Frederick, UF WEC/Avian Lead Dr. Peter G. Ifju, UF Aerospace/Aerospace Lead Mr. Travis J. Whitley, UF Aerospace/Airframe and Controls Specialist Mr. Tyler S. Ward, UF Aerospace/Payload and Sensor Specialist Dr. Amr H. Abd-Elrahman, UF Geomatics/GIS Lead Ms. Tiziana W. Munene, UF Geomatics/Imagery Processing Specialist Dr. Bon A. Dewitt, UF Geomatics/Photogrammetry Lead Dr. Scot E. Smith, UF Geomatics/Remote Sensing Lead Dr. Benjamin E. Wilkinson, UF Geomatics/Imagery Processing Lead Mr. Yun Ye, UF Geomatics/Remote Sensing Specialist Dr. Robert M. Dorazio, UF Statistics/Statistics Lead
50 Questions? Matthew A. Burgess Department of Wildlife Ecology and Conservation University of Florida U.S.G.S. Florida Cooperative Fish and Wildlife Research Unit
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