Charlie Loyd @vruba@everything.happens.horse

@geowurster So I sort of talked myself out of GDAL at the beginning of thinking about this, but maybe it’s been the obvious choice all along.

I’m just trying to reproject PACE OCI L1B data, which does the weather satellite thing of having bands for longitude and latitude values, so it’s essentially one GCP per pixel.

The magic thing about python’s sys.exit() is you don’t have to worry about importing it; if you forget, the script exits when it gets there almost exactly as if you had.

I want to map from a small input to a large output with interpolation in the output and I’m going to be able to figure it out but it’s going to feel like doing my taxes the whole time.

I have come to a place in some personal-project code where I need to use skimage.transform.warp and I keep tabbing over to the documentation, sighing, and tabbing away.

This @kissane talk is worth your time if you’re interested in pretty much anything I’m interested in. https://xoxofest.com/2024/videos/erin-kissane/

@marcpfister Office? Submarine! https://www.youtube.com/watch?v=0al0xeCVCMk

Roughly what are the odds that recognizable signs of extraterrestrial life are within our present technological and conceptual reach and we just haven’t noticed yet?

@sparks I’m not sure either!

@patricio The part of this that I understand, I like.

@hannah [To someone I’ve been talking to about the cool exposed wood ceiling of the wedding venue we’re at:] So what boats are you on?

@caseyg [gesturing dismissively] put something on my calendar

@caseyg okay fine

@patricio Cool stuff, right?!

@caseyg @kissane @darius this sounds like oily tupperware feels

@aworkinglibrary if explaining and preparing for things were doing things i would get so much done

Huh. Just had a wild, cascading run of great ideas for a work project I finished like 7 years ago.

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.

Sentinel-1 radar of Helene last night – 23:37 UTC, 19:45 EDT. The swath is about 250 km (150 mi) wide.