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: If that link doesn’t work,  please try

“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!

13 responses to “Crowdsourcing the Evaluation of Post-Sandy Building Damage Using Aerial Imagery

  1. Pingback: Thursday Morning Linkage » Duck of Minerva

  2. The obvious question is this one: how are FEMA, NGA, and USGS collaborating to make the most of crowd-sourcing. Have just posted the NGA version of this story at Phi Beta Iota the Public Intelligence Blog ( am very interested in answer to the above question if it can be determined., Cross posting this post to PBI as well.

  3. Pingback: Crowdsourcing the Evaluation of Post-Sandy Building Damage Using Aerial Imagery | Global Article

  4. Pingback: Learning Lessons from Sandy | PlaNYourCity

  5. This is very cool. Kind of similar to what Google did post-Christchurch quake in NZ last year.

  6. Pingback: How To Make Crowdsourcing Disaster Relief Work Better « GEODATA POLICY

  7. Pingback: Zooniverse: The Answer to Big (Crisis) Data? | iRevolution

  8. Pingback: Using UAVs for Search & Rescue | iRevolution

  9. Pingback: The Hurricane Sandy Review | Social Media for Good

  10. Pingback: Using Crowd Computing to Analyze UAV Imagery for Search & Rescue Operations | iRevolution

  11. Pingback: Using MicroMappers to Make Sense of UAV Imagery During Disasters | iRevolution

  12. Pingback: Crowdsourcing and government -

  13. Pingback: Crowdsourcing and government | Nuclear Diner

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s