Tag Archives: Aerial

How UAVs Are Making a Difference in Disaster Response

I visited the University of Torino in 2007 to speak with the team developing UAVs for the World Food Program. Since then, I’ve bought and tested two small UAVs of my own so I can use this new technology to capture aerial imagery during disasters; like the footage below from the Philippines.

UAVs, or drones, have a very strong military connotation for many of us. But so did space satellites before Google Earth brought satellite imagery into our homes and changed our perceptions of said technology. So it stands to reason that UAVs and aerial imagery will follow suit. This explains why I’m a proponent of the Drone Social Innovation Award, which seeks to promote the use of civilian drone technology for the benefit of humanity. I’m on the panel of judges for this award, which is why I reached out to DanOffice IT, a Swiss-based company that deployed two drones in response to Typhoon Yolanda in the Philippines. The drones in question are Huginn X1′s, which have a flight time of 25 minutes with a range of 2 kilometers and maximum altitude of 150 meters.

HUGINN X1

I recently spoke with one of the Huginn pilots who was in Tacloban. He flew the drone to survey shelter damage, identify blocked roads and search for bodies in the debris (using thermal imaging cameras mounted on the drone for the latter). The imagery captured also helped to identify appropriate locations to set up camp. When I asked the pilot whether he was surprised by anything during the operation, he noted that road-clearance support was not a use-case he had expected. I’ll be meeting with him in Switzerland in the next few weeks to test-fly a Huginn and explore possible partnerships.

I’d like to see closer collaboration between the Digital Humanitarian Network (DHN) and groups like DanOffice, for example. Providing DHN-member Humanitarian OpenStreetMap (HOTosm) with up-to-date aerial imagery during disasters would be a major win. This was the concept behind OpenAerialMap, which was first discussed back in 2007. While the initiative has yet to formally launch, PIX4D is a platform that “converts thousands of aerial images, taken by lightweight UAV or aircraft into geo-referenced 2D mosaics and 3D surface models and point clouds.”

Drone Adventures

This platform was used in Haiti with the above drones. The International Organization for Migration (IOM) partnered with Drone Adventures to map over 40 square kilometers of dense urban territory including several shantytowns in Port-au-Prince, which was “used to count the number of tents and organize a ‘door-to-door’ census of the population, the first step in identifying aid requirements and organizing more permanent infrastructure.” This approach could also be applied to IDP and refugee camps in the immediate aftermath of a sudden-onset disaster. All the data generated by Drone Adventures was made freely available through OpenStreetMap.

If you’re interested in giving “drones for social good” a try, I recommend looking at the DJI Phantom and the AR.Drone Parrot. These are priced between $300- $600, which beats the $50,000 price tag of the Huginn X1.

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Crowdsourcing the Evaluation of Post-Sandy Building Damage Using Aerial Imagery

Update (Nov 2): 5,739 aerial images tagged by over 3,000 volunteers. Please keep up the outstanding work!

My colleague Schuyler Erle from Humanitarian OpenStreetMap  just launched a very interesting effort in response to Hurricane Sandy. He shared the info below via CrisisMappers earlier this morning, which I’m turning into this blog post to help him recruit more volunteers.

Schuyler and team just got their hands on the Civil Air Patrol’s (CAP) super high resolution aerial imagery of the disaster affected areas. They’ve imported this imagery into their Micro-Tasking Server MapMill created by Jeff Warren and are now asking volunteers to help tag the images in terms of the damage depicted in each photo. “The 531 images on the site were taken from the air by CAP over New York, New Jersey, Rhode Island, and Massachusetts on 31 Oct 2012.”

To access this platform, simply click here: http://sandy.hotosm.org. If that link doesn’t work,  please try sandy.locative.us.

“For each photo shown, please select ‘ok’ if no building or infrastructure damage is evident; please select ‘not ok’ if some damage or flooding is evident; and please select ‘bad’ if buildings etc. seem to be significantly damaged or underwater. Our *hope* is that the aggregation of the ok/not ok/bad ratings can be used to help guide FEMA resource deployment, or so was indicated might be the case during RELIEF at Camp Roberts this summer.”

A disaster response professional working in the affected areas for FEMA replied (via CrisisMappers) to Schuyler’s efforts to confirm that:

“[G]overnment agencies are working on exploiting satellite imagery for damage assessments and flood extents. The best way that you can help is to help categorize photos using the tool Schuyler provides [...].  CAP imagery is critical to our decision making as they are able to work around some of the limitations with satellite imagery so that we can get an area of where the worst damage is. Due to the size of this event there is an overwhelming amount of imagery coming in, your assistance will be greatly appreciated and truly aid in response efforts.  Thank you all for your willingness to help.”

Schuyler notes that volunteers can click on the Grid link from the home page of the Micro-Tasking platform to “zoom in to the coastlines of Massachusetts or New Jersey” and see “judgements about building damages beginning to aggregate in US National Grid cells, which is what FEMA use operationally. Again, the idea and intention is that, as volunteers judge the level of damage evident in each photo, the heat map will change color and indicate at a glance where the worst damage has occurred.” See above screenshot.

Even if you just spend 5 or 10 minutes tagging the imagery, this will still go a long way to supporting FEMA’s response efforts. You can also help by spreading the word and recruiting others to your cause. Thank you!