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.
These activities were developed as part of Public Lab's collaboration with the AREN project:
|Building miniature kites at a family science night||build||-||@SuziT9||-||-||0 replications: Try it »|
|Winds aloft: and a camera too||-||-||@cfastie||-||-||0 replications: Try it »|
|Use Image Sequencer for NDVI plant analysis with 2 images||-||-||@warren||-||-||0 replications: Try it »|
|Winds aloft: sensor overload||-||-||@cfastie||-||-||0 replications: Try it »|
|Prototype: filter map tiles in real-time in a browser with ImageSequencer (NDVI Landsat)||-||-||@warren||-||-||0 replications: Try it »|
Activities should include a materials list, costs and a step-by-step guide to construction with photos. Learn what makes a good activity here.
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:
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
- Demo: https://publiclab.github.io/image-sequencer/
- Source code: https://github.com/publiclab/image-sequencer/
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.