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Drones/Aerial Imagery for Disaster Response

Drones/Aerial Imagery for Disaster Response. Participants: OpenAerialMap, Open Geospatial, Pacific Disaster Center. Agenda. Introduction Challenges for Disaster Managers to acquire aerial imagery pre/post-disaster Using drones for Disaster Response Case Study (Ecuador EQ.)

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Drones/Aerial Imagery for Disaster Response

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  1. Drones/Aerial Imagery for Disaster Response Participants: OpenAerialMap, Open Geospatial, Pacific Disaster Center

  2. Agenda • Introduction • Challenges for Disaster Managers to acquire aerial imagery pre/post-disaster • Using drones for Disaster Response • Case Study (Ecuador EQ.) • Case Study (Nepal EQ.) • Products • OpenAerialMap • Drone Volunteer Community • Exchangeable Mission Plan • Q&A

  3. Goals • Talk through pros/cons/what’s out there • Understand where there are gaps in using new imagery sources and determine follow up for filling those gaps

  4. Introduction • Humanitarian OpenStreetMap Team • PDC

  5. Challenges for Disaster Managers to acquire aerial imagery pre/post-disaster • Satellite Imagery Delay • Imagery Processing • Size of Imagery Data • Accessibility of Data

  6. Using drones for Disaster Response • Pros/Cons • Turnaround • Availability of equipment • Accessibility to Disaster Location • Data File Sizes • Data Processing • Legislations • Training

  7. “Case Study No.13: Natural disaster / Mapping / Assessment. Using drones to inspect post-earthquake road damage in Ecuador” Ecuador, April 2016 Partnership Between UAViators, European Union, Ministry of Transport Analyzed and Published Imagery in Less Than 3 Days 1000 km of Roadways in Three Weeks Team of 2-3 People Authorities Granted Flying Authorization “The Inspire 1 was a favorite of drone pilots, according to Ruiz, because it can be flown manually and “obeys” the pilot well. However, a fixed-wing drone like the eBee has the added value that it can cover more ground. The take-offs and landings of the eBee made them a little more challenging to pilot, mainly because some of the surface areas, such as rubble or thick underbrush, were not ideal for landing this type of drone. The operating environment in many areas consisted of dense forests, which made it difficult at times to observe the drone’s pathway. This is also why it was so important to pilot them in teams.” Case Study (Ecuador EQ.)

  8. Case Study (Nepal EQ.)

  9. Products Photo Credits: Case Study No.13: Natural disaster / Mapping / Assessment. Using drones to inspect post-earthquake road damage in Ecuador

  10. Products • 3 Dimensional • Elevation • DEM Photo Credits: Paulo Fernandes. DJI4 Phantom.

  11. Products • Infrared • Multispectral • Thermal Photo Credits: Massachusetts State Police and United Kingdom West Midlands Police.

  12. OpenAerialMap • Distributed commons for sharing open satellite and aerial data • Solving the challenge of how to share and distribute imagery quickly to humanitarian partners for a mapping workflow

  13. Drone Volunteer Community • Many volunteer communities exist, not all are connected to humanitarian or disaster response partners • Some are trained professionals, but more guidelines, best practices, trainings would be helpful

  14. A visions for A Standard Exchangeable Mission Plan – Taming the “Wild West”

  15. Q&A

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