One of them has been sitting on the top of the curtain rod over my desk, carefully wedged in place with magnets and a makeshift ground plane.
Weekend project: tinkering with cloud removal from Landsat stacks. Here the top two images are inputs and the bottom is output from them alone.
It’s strictly pixelwise and n→1 (deep set–style), so it scales to any stack depth. Notice it fills the nodata with the training set average color, and the cloud overlap with a sort of polite fog.
Me, politely but firmly taking the jar of kimchi out of the shooping cart and putting it back on the shelf: Darling, remember we talked about how this isn’t authentically Korean because it contains an ingredient introduced in the sixteenth century? And how that means it’s not tasty?
You know him on the internet. Eucalypt-adjacent; very occasional writer. Consulting and passively looking for work in geospatial, image processing, and related fields.