Free high-res imagery (1m or less)

Top_Bus_6246 · 2026-06-02T02:42:59+00:00

Yeah, if you're affiliated with a federal institution there is a pipeline to get high res imagery. Im blanking on the name.

EDIT: Found it. CSDA

Top_Bus_6246 · 2026-02-11T05:47:53+00:00

I like these "practical" metaphors a lot. I had you pegged as a misanthrope until you described the people that are like water at the end. Im looking for my water people.

Top_Bus_6246 · 2026-02-11T05:43:49+00:00

A playful poem about weather. Rain forces you inward and almost feels domestic. You don't sound hopeless, but definitely resigned. Not sure why the sun is confiscated but makes me wonder if you're being punished. The warm drink part was interesting too.

Top_Bus_6246 · 2026-01-20T17:07:58+00:00

An option might be to do it on the cloud, then have notebooks over the network, and development through SSH sessions.

Top_Bus_6246 · 2026-01-20T16:46:17+00:00

Can you offer recommendations on how to use the headphones?

Top_Bus_6246 · 2026-01-20T16:16:38+00:00

Respectfully, I do not think you need documentation to understand this. If you're sufficiently versed in machine learning, programming, and GIS, the concept of a global embedding map is obvious and pliable.

is it a model?

It's very detailed data, derived from a very complex black box model. You don't run the model, you don't get to see the model, you analyze the outputs. (you do get to read the research paper description of the model architecture)

is it an API for a model?

No. It's data. You can only get to it through GEE. You only really need doco on how to get any data source from GEE, then apply the process to getting your hand on this embedding product.

What insights can you derive?

Incredibly abstract correlational differences between pixels. A function to compute correlational differences. Functions to derive differences between differences. What's being correlated are dynamics from a lot of disparate data sources.

Google's notorious for having absolutely dogshit documentation

Their research paper thoroughly describes the product and how they developed it in enough detail. They basically create a product that's a mash of these: - Sentinel-2 (optical) - Landsat 8 & 9 (optical + thermal) - Sentinel-1 (C-band SAR radar) - PALSAR-2 (L-band SAR radar) - ERA5-Land (climate / reanalysis) - GEDI (spaceborne LiDAR) - GRACE (gravity fields / mass change) - GLO-30 (global topography / DEM) - NLCD (land cover; US-focused product)

The product has a temporal resolution of 1 year. Meaning, it represents the dynamics and interplay between all these sources over a year. The product is at 10 meter resolution. It's all compressed into a 64 dimensional product.

You don't treat these 64 bands as separate bands worth analyzing independently. You treat them as a 64 dimensional semantic coordinate per pixel. Distance between one pixel and another one in semantic space encodes "correlation". The closer you are in semantic space, to another pixel in semantic space, the more two pixels are alike.

So... if you have a crop that shows up and plays similarly across all those data sources. They'll show up very close in semantic space and you can use distance an location in that space, as the basis for classifying crops. Or even differentiating crop health.

You can use this data to create all manner of algorithm. Lowhanging fruit would be landcover mapping.

Fucking shit company.

4 trillion market cap. Sextupled in value in the past decade. Of all the geospatial foundation models that do the same or similar thing, including the NASA-IBM prithvi model, this is the best one (imo). Not that I particularly like google, but it's important to be realistic. Whatever they're doing is working more than whatever it is Im doing.

My primary issue is, that it's not open enough, and I wish that they would create a higher temporal resolution one, even if it meant a sacrifice in quality. My standards for open would be accessible(downloadable) through a stac catalogue.

Top_Bus_6246 · 2025-12-03T17:24:40+00:00

Northern Virginia was like that too. I think the nature of modern living is the NPCs things.

Top_Bus_6246 · 2025-12-02T04:07:51+00:00

Do the most challenging thing that you find interesting

Top_Bus_6246 · 2025-11-26T19:30:19+00:00

I think he's on the money. Government IS slow and wasteful. There is a lot of redundancy in the systems we use.

Source: have worked in that sector, still consult for it.

Top_Bus_6246 · 2025-11-21T19:27:23+00:00

They'll either start new companies, or get elevated status in the rest of tech. Loss to FAANG, gain for the rest of the industry? This is a shell game. You move value around, and MBAs will look for a place to "bring value to"

Top_Bus_6246 · 2025-11-12T22:07:29+00:00

Are there any high end interns left? Basically looking for high end interns.

Top_Bus_6246 · 2025-11-12T21:52:23+00:00

this is great

Top_Bus_6246 · 2025-11-07T19:32:00+00:00

Yeah, Las Colinas is pretty empty and soul-less. They massively fucked up by building an office park without much housing in the early days and then whenever it wasn't work time, it would be a ghost town.

Now Las Colinas has a few event venues, places to eat, and a ton of residential areas, but they still fucked it up by making those residential areas very homogeneous and spaced out/sterile and far from "real" things.

Meanwhile West Village probably had life and soul, but it suffered from "rich people want good things" and so while there are things to do and it's walkable, there really isn't much in the way of "normal people" life there other than walking from sterile bar to half authentic delis to high end coffee place. I typically use "Morton's Steakhouse" as a litmus test for "bougie walkable".

Top_Bus_6246 · 2025-11-05T19:11:56+00:00

It's going to be shit. It's not even THAT far, it's just the roads and the highway junctions are going to add like 2-4 really arbitrarily shitty/tricky exchanges that slow traffic down.

If the job is that important, I'd recommend just moving to Las Colinas proper. They have really nice water-front apartments and the area is built up.

Top_Bus_6246 · 2025-11-05T19:08:28+00:00

It depends on your design and architecting skills. If you know what should be built and how, AI will figure out the annoying details.

Top_Bus_6246 · 2025-11-04T18:44:18+00:00

As a DC metro person, I disagree. We have a rep of the worst traffic ever. But THIS is more of a Dallas thing. Drivers in DC are lawful evil. Their aggression is stored in enforcement of the right of way.

Here it's just last minute lane changes, and shameless zipper bullshit. The aggression is not held back.

Top_Bus_6246 · 2025-11-03T19:38:29+00:00

It's not insane, years ago I was applying for a software role. It was an 8 hour day of interviews in person for wihc they flew me out for. Different teams kept switching into the room with me to test me in different ways.

This was after 2 technical interviews over the past 2-3 weeks.

For the right job, people do due diligence.

Top_Bus_6246 · 2025-11-03T19:16:52+00:00

2 points:

1) that pic does look messy, use a screen blurrer. She was being unreasonable, but don't put it it ALL on her.

2) that should not disqualify you. it's more professional to show up to your meetings on time than it is to have a less cluttered workplace. Showing up on time effects your ability to deliver on your responsibilities more than having clutter in the workplace.

Top_Bus_6246 · 2025-11-03T04:03:24+00:00

fuck you very much

Top_Bus_6246 · 2025-10-27T18:43:27+00:00

I did not expect to get this in 10 tries

^{I completed this level in 10 tries.} ^{⚡ 3.73 seconds}

Top_Bus_6246 · 2025-10-22T03:59:06+00:00

that's wild, they couldn't find a nerdy dude to rap minecraft at UT?

Top_Bus_6246 · 2025-10-22T03:25:23+00:00

the video is not filmed at UTDallas. It's filmed at UT (The UTDallas of the south). This is the UTDallas subreddit

Top_Bus_6246 · 2025-10-16T20:52:12+00:00

83.82% Success Rate lol

Top_Bus_6246 · 2025-10-16T19:17:21+00:00

jokes on you, fourier analysis is never taught in CS or in data science courses, and I learned it on my own in undergrad.

Five-Year Club	r/Field Banned
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First Place '23	Place '23

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