Public Lab Wiki documentation

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.


For educators looking to apply these techniques in the classroom, see our Education page.



The Infragram project brings together a range of different efforts to make Do-It-Yourself plant health comparisons possible with infrared photography. In the context of the AREN project, the Infragram project will provide an easy to access and easy to use tool for multispectral image analysis in the classroom. You can read more about Infragram at:

And use the latest version at:



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!

Low-cost airborne sensors

We are also working on comparing low-cost, open source wind sensors like that offered by #as220. More broadly, data logging and sensor platform work will address issues of modeling study design, piloting low-cost payloads, testing data logging and analysis workflows.


Title Author Updated Likes
How simple would it be to connect the AS220 wind sensor P to the Mini Pearl Logger? @warren about 1 month ago
What are materials we could include in a Kite Making Materials Pack? @warren 3 months ago
Any simple ways to measure wind direction from a data logger? @warren 10 months ago

Ask a question  or help answer future questions


Title Author Updated Likes
Hacked Infragram Raspberry Pi camera now on the International Space Station @warren 17 days ago
Building miniature kites at a family science night @SuziT9 about 1 month ago
What are materials we could include in a Kite Making Materials Pack? @warren 3 months ago
Winds aloft: and a camera too @cfastie 6 months ago
Winds aloft: sensor overload @cfastie 6 months ago
LEAFFEST Aeropod flight @cfastie 7 months ago
Web Working Group Update 20: August 2017 @warren 8 months ago
How big are smoke particles, in microns? @warren 8 months ago
Remove lens distortion from photos with FisheyeGL @warren 8 months ago
Any simple ways to measure wind direction from a data logger? @warren 10 months ago
Cool It @baskotasusan about 4 years ago
Seasonal NDVI with PicturePost & Infragram: Monitoring & Phenology @wward1400 over 4 years ago
Infragram Panoramas on Picture Post @wward1400 almost 5 years ago
Nasa Kite modeler @Safidy over 5 years ago
DIY Light Delta kite (Rogallo wing) @Safidy over 5 years ago
Article: MODIS Detects Oil Spills in Lake Maracaibo, Venezuela @warren about 7 years ago
Show 6 more

as220 nasa aren