In an effort to help responders, we’re releasing imagery of the area under an open license. The imagery is now available for download under a CC-BY-SA license. We’re also permitting tracing of the imagery on Open Street Map.
Attribute all data back to Planet Labs, Inc., www.planet.com
These are all links to ZIP files of data, broken down by day, which can be downloaded by clicking on the links.
All of the data is hosted in the `planetlabs-disaster-response` S3 bucket, `201605-Fort-McMurray` folder.
This is a public S3 bucket, but if you are asked for credentials, you can use these:
Here is a map of the data currently available, also available as a GeoJSON file here. You can use any of links per scene to download that scene directly.
You can also access the full data directory, and choose individual files to download using these tools:
To use the AWS CLI:
sudo pip install aws-shell
aws s3 ls s3://planetlabs-disaster-response/201605-Fort-McMurray/ --no-sign-request
aws s3 ls s3://planetlabs-disaster-response/201605-Fort-McMurray/rapideye/ --no-sign-requestYou can then continue digging down. The folder structure is {disaster}/{provider}/{date}/{scene-name}/{file}
aws s3 cp s3://planetlabs-disaster-response/201605-Fort-McMurray/rapideye/20160416/20160416_150440_0c18/20160416_150440_0c18_visual.tif ./local/file/location/ --no-sign-requestOr, if you find an entire directory you want, copy it with the --recursive flag
aws s3 cp s3://planetlabs-disaster-response/201605-Fort-McMurray/rapideye/20160504/20160504_192300_1265315_RapidEye-5/ ./local/file/location/ --no-sign-request --recursive