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ORDA Science Webinar Series:
Small UAS for Scientific Research
Jeff Sloan
USGS National Unmanned Aircraft Systems Project Office
Conference Line:
DOI participants: 703-648-4848
Non-DOI participants: 855-547-8255
Passcode: 41701001
There will be NO audio through the web.
Please mute your phone during the presentation.
This presentation will be made available soon on the USGS NRDAR webpage:
https://www.usgs.gov/centers/cerc/science/natural-resource-damage-assessment-and-restoration-nrdar
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Presenter
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USGS Mission
The USGS is the science agency for the Department of the InteriorProvides reliable scientific information to describe and understand the Earth; minimize loss of life and property from natural
disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life
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USGS National Unmanned Aircraft Systems Project Office
• Emerging Technology Investigations.…………..…..………………2004-2008
• USGS UAS National Project Office Created……………….…...….May 2008
• First Systems (Raven) Acquired……………….........................…Dec. 2009
• First Operator Training……………………………………………….…....2009-2010
• Operations in the National Airspace…………….............…….…March 2011
USGS UAS Implementation Timeline
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Mission Statement: The USGS National Unmanned Aircraft Systems Project Office will lead the safe, efficient, cost-effective and leading-edge investigation of the potential uses for UAS technology in scientific research activities for the USGS and the Department of the Interior.
Goal: Implement UAS as a common tool for scientific research and operational activities
USGS UAS Strategy
✓ UAS Operator Training for the USGS✓ Sensor Integration, Testing and Approval✓ Develop Data Processing Techniques & Best Practices✓ Perform Proof-of-Concept Missions✓ Inventory and Operator Qualifications Management
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Department of the Interior – UAS Implementation
Federal Aviation Administration (FAA)
Dept. of the Interior
Office of Aviation Services
Dept. of the Interior
Bureau UAS Operations
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USGS (DOI) – UAS Training
• FAA - Part 107 Certification• Procure Aircraft• A-450 Basic Small UAS Course • Proficiency (every 90 days)• Currency (Refresher – 2yrs)
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USGS – UAS Implementation
USGS Nationwide Trained UAS Operators
- Alaska
- Hawaii
102……… USGS operators trained (8 retired/inactive/left)34 …….. New USGS operators to be trained in 2019
- Trained Operators
- To Be Trained 2019
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Department of the Interior – Advanced Training
• Advanced Courses • Data Processing Classes
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Dept. of the Interior – Annual UAS Flight Activity
USGS = 3,015 flights (increased 178% over 2017)
USGS29%
BLM38%
FWS9%
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USGS – Current UAS Platforms
BirdsEyeView
FireFly 6
3DR Solo
Pulse Vapor 55
DJI Matrice 600(Testing)
DJI Mavic(Testing)
Parrot - Anafi
Pulse Vapor 55 ……………..…... 1DJI Matrice 600 ……………...... 11FireFly 6 ……………………..…..... 83DR Solo …………………..……..1073DR Solo (Site Scan)……..…….. 9Parrot Anafi…………………..……. 4
Total UAS @ USGS…………151
End of 2018:• DOI owns 531 UAS• DOI - 359 trained operators
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USGS – Current UAS Platforms
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UAS Sensors Approved for DOI Use
High Definition Video
Point & Shoot Cameras
DSLR Cameras
Thermal Sensors (FLIR)
MultiSpectral (MicaSense)
Doppler RADAR
• Hero 3, 4• Ricoh GRII• Sony UMC-R10C• Sequoia• Pixpro SP360 4K• RedEdge 3, MX• FLIR VUE Pro/Pro R/Dual Pro• MAPIR
3DR Solo
DJI• Zenmuse XT2, X5, Z30• Ronin – MX Gimbal
BirdsEyeView FireFly6
• Sony A6000, A7R, RXIRII• Slantrange 3P• MicaSense RedEdge M• GoPro Hero4
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UAS Sensors Currently Being Integrated
Gas Sensors
Ground Penetrating RADAR
LiDAR
Metric Cameras
Hyperspectral
MultiSpectral
Telemetry
Methane Sensor
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USGS National UAS Project Office – Sensor IntegrationUSGS UAS Sensor IntegrationContracted Integration & Test Flight of Ground
Penetrating Radar (GPR) Sensor
Detection of Stream Bottom
LiDAR – YellowScan/Velodyne… USGS, Univ. of FL, ContractGround Penetrating RADAR……..Mississippi State Univ.Telemetry ……………………………..…NASA AmesDoppler RADAR………………………..USGSHyperspectral ………………………….USGS/Nano Headwall/ResononThermal …………………………………..Contracted ProjectGeomagnetic Sensor………………..Contracted ProjectGreen LiDAR ………….………………..Contracted ProjectGPR………………………………………….Contracted ProjectPulsed RADAR…………………………..Contracted ProjectUltraSonic Sensor …………………….Contracted Project
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USGS National UAS Project Office – Sensor Integration
LiDAR – YellowScan/Velodyne… USGS, Univ. of FL, ContractGround Penetrating RADAR……..Mississippi State Univ.Telemetry ……………………………..…NASA AmesDoppler RADAR………………………..USGSHyperspectral ………………………….USGS/Nano Headwall/ResononThermal …………………………………..Contracted ProjectGeomagnetic Sensor………………..Contracted ProjectGreen LiDAR ………….………………..Contracted ProjectGPR………………………………………….Contracted ProjectPulsed RADAR…………………………..Contracted ProjectUltraSonic Sensor …………………….Contracted Project
USGS UAS Sensor IntegrationTest Flight of YellowScan LiDAR Sensor
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USGS National UAS Project Office – Sensor IntegrationUSGS UAS Sensor IntegrationContracted Test Flight of GeoMagnetic Sensor
LiDAR – YellowScan/Velodyne… USGS, Univ. of FL, ContractGround Penetrating RADAR……..Mississippi State Univ.Telemetry ……………………………..…NASA AmesDoppler RADAR………………………..USGSHyperspectral ………………………….USGS/Nano Headwall/ResononThermal …………………………………..Contracted ProjectGeomagnetic Sensor………………..Contracted ProjectGreen LiDAR ………….………………..Contracted ProjectGPR………………………………………….Contracted ProjectPulsed RADAR…………………………..Contracted ProjectUltraSonic Sensor …………………….Contracted Project
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USGS National UAS Project Office – Sensor Integration
LiDAR – YellowScan/Veledyne… USGS, Univ. of FLGround Penetrating RADAR……..Mississippi State Univ.Telemetry ……………………………..…NASA AmesDoppler RADAR………………………..USGSHyperspectral ………………………….USGS/Nano HeadwallThermal …………………………………..Contracted ProjectGeomagnetic Sensor………………..Contracted ProjectGreen LiDAR ………….………………..Contracted ProjectGPR………………………………………….Contracted ProjectPulsed RADAR…………………………..Contracted ProjectUltraSonic Sensor …………………….Contracted Project
USGS UAS Sensor IntegrationContracted Test Flight of AstraLite
Green LiDAR (swath) Sensor
Courtesy: Paul Kinzel, USGS
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USGS – UAS HyperSpectral Sensor Testing
Nano Headwall - Hyperspec
• Visible Near InfraRed• Note: USGS lost the UAS and Sensor during test flights
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USGS – UAS HyperSpectral Sensor Testing
Resonon Pika XC2 Hyperspectral
• Visible Near InfraRed• Note: USGS Just Acquired the Sensors
– will begin to integrate onto DJI Matrice 600 UAS System
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USGS – UAS HyperSpectral Sensor Testing
HySpex Demonstration
• Visible ShortWave InfraRed• Integrated UAV System • Note: USGS Does Not have this UAS System or Sensor
Demo: June 4, 2019 - Denver
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Structure-from-Motion (Photogrammetry)
Point Cloud Elevation Model Ortho-Mosaic
Stereo OverlappingImages
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Color Infrared - NDVIPoint Cloud Generation
Elevation Models Feature Extraction Contour GenerationPoint Cloud Classification
Derived Geospatial Products
KML – 3D Modeling Orthophotography Volumetric Measurements
Primary Goal:GIS Data Layers
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Metadata, Archiving and Distribution
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USGS Past Projects
Hawaii – Kiauea Volcano Eruption Wyoming – Devil’s Tower NM 3D Modeling Colorado Hydro Basin – Photogrammetry
Palmyra Atoll – MSI Collection Ft. Laramie NHS - LiDAR Kansas – Algal Bloom – MSI Collection
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3D Modeling – Devil’s Tower National Monument
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Contracting – Fall Creek Lake, Oregon
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Biology Applications
Elk Mallard Ducks
White Pelicans
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USGS National UAS Project Office – Sensor Calibration & Best Practices
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Contracting - Emergency (Rapid) Response
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Natural Hazards – Landslide Analysis (over time)2017 Mud Creek Landslide, California
Courtesy: USGS, J. Warrick, et. al 2019
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GoPro video
Natural Hazards – Water Related Emergencies
Courtesy: USGS, F. Engel - 2019
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Computer vision used to:- Stabilize video- Remove lens distortion- Image velocimetry
Natural Hazards – Water Related Emergencies
Courtesy: USGS, F. Engel - 2019
LSPIV – Large-Scale Particle Image Velocimetry
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Hawaii – Kilauea Volcano Eruption - 2018
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Preliminary Information-Subject to Revision. Not for Citation or Distribution.
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USGS UAS Implementation – Challenges
• Working at the speed at which USGS Scientists want operational platforms & sensors• Sensor Integration always has hurdles• Access to the DJI Equipment• Batteries• Sensor Weights• Best Practices – ensure USGS is creating and using accurate data• Data archive, management and release• Lack of high-resolution Data Standards• Support for a dedicated Hazards response team
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Bruce Quirk
RPAS LiaisonPhone: 703-648-5736Email : [email protected]
USGS National UAS Project Office