AREN Project
A number of Public Lab projects are supported in part by NASA through the AREN project, which focuses on educational uses of kite aerial photography for photographic and sensor data collection.
As part of the AREN project, Public Lab is making progress on several projects. In AREN's words:
In AREN we...
* Plan and prepare for a launch
* Launch kites
* Attach payloads
* Collect data
* Conduct post-mission debrief
* Analyze and share our data
Public Lab's primary project as part of AREN is to create, refine, and improve open source image processing tools for aerial photography, primarily Infragram and Image Sequencer, but also lens distortion tools. Public Lab is also investigating low-cost, DIY sensor platforms for use on aerial platforms.
Education
For educators looking to apply these techniques in the classroom, see our Education page.
ImageSequencer
ImageSequencer is a pure JavaScript sequential image processing system, inspired by storyboards, which we are optimizing for analyzing and processing remote sensing imagery.
Image Sequencer is different from other image processing systems in that it's non-destructive: instead of modifying the original image, it creates a new image at each step in a sequence. This is because it:
- produces a legible trail of operations, to "show your work" for evidential, educational, or reproducibility reasons
- makes the creation of new tools or "modules" simpler -- each must accept an input image, and produce an output image
- allows many images to be run through the same sequence of steps
- works identically in the browser, on Node.js, and on the commandline
More soon!
- Demo: https://publiclab.github.io/image-sequencer/
- Source code: https://github.com/publiclab/image-sequencer/