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IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

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Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#81

Post by DennisP »

RosanaAnaDana wrote: post #71
bookofjoe wrote: post #46

Earlier quoted context omitted.

>Satellite data is extremely idiosyncratic. It's coarse (~10m at best) >The best commercially available spatial resolution for optical imagery is 25 cm, which means that one pixel represents a 25-by-25-cm area on the ground—roughly the size of your laptop. https://spectrum.ieee.org/commercial-satellite-imagery

I regularly use up to 3cm aerial imagery. There are many very nice commercial products available.

Are there any products available for casual users, just paying for a few images?

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#82

Post by pmarreck »

woeirua wrote: post #48
philosophygeek wrote: post #40

I wish the press release had a bit more detail about what this model actually does and whether it's actually useful for the suggested use cases. However, make no mistake: this is for the scientific community and will not help geospatial data to be commercialized. No one cares about your geospatial crop model or that you can identify energy infrastructure or that there's some activity around that copper mine. Well, at…

I think it is very important for people to understand that terrestrial sensors are orders of magnitude cheaper for most applications, and are typically far more accurate too. There's a reason why most remote sensing companies go out of business fairly quickly.

You have a sibling comment from PlanetScope that claims ~30-50% profit margin, depending on the quarter.

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#83

Post by fnands »

philosophygeek wrote: post #40

I wish the press release had a bit more detail about what this model actually does and whether it's actually useful for the suggested use cases. However, make no mistake: this is for the scientific community and will not help geospatial data to be commercialized. No one cares about your geospatial crop model or that you can identify energy infrastructure or that there's some activity around that copper mine. Well, at…

I'm an ML engineer working for a geospatial company and I can assure you, we are looking into this.

> Satellite data is extremely idiosyncratic. It's coarse (~10m at best) 10m is the best free imagery, in the commercial domain it goes down to 30cm.

> Well, at least no one cares that will actually pay you. There are plenty of things people will pay you for. But you gotta find those niches.

> In other words, this might be an interesting announcement for scientists, but it won't change the geospatial market at all.

Maybe, we'll definitely check if it can be fine-tuned on higher res data. We do sometimes use Sentinel-2 (not a lot though), but can help with those cases.

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#84

Post by fnands »

dharmab wrote: post #60
philosophygeek wrote: post #40

I wish the press release had a bit more detail about what this model actually does and whether it's actually useful for the suggested use cases. However, make no mistake: this is for the scientific community and will not help geospatial data to be commercialized. No one cares about your geospatial crop model or that you can identify energy infrastructure or that there's some activity around that copper mine. Well, at…

PlanetScope is 3.7m and captures the full land area of the earth daily (minus cloud cover, of course): https://www.planet.com/products/planet-imagery/ Disclaimer: I work for Planet. I also disagree with the assertion "no one will actually pay you." Read pages 26-28 of the quarterly report for more information.

I work for a customer of Planet and can confirm, we pay Planet a lot of money each year.

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#85

Post by marcopicentini »

fnands wrote: post #84
dharmab wrote: post #60

Earlier quoted context omitted.

PlanetScope is 3.7m and captures the full land area of the earth daily (minus cloud cover, of course): https://www.planet.com/products/planet-imagery/ Disclaimer: I work for Planet. I also disagree with the assertion "no one will actually pay you." Read pages 26-28 of the quarterly report for more information.

I work for a customer of Planet and can confirm, we pay Planet a lot of money each year.

The Planet stock is down -70% since IPO (from 10$ in 2022 IPO to 3$ today).

NYSE: PL

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#86

Post by crucialfelix »

DennisP wrote: post #81
RosanaAnaDana wrote: post #71

Earlier quoted context omitted.

I regularly use up to 3cm aerial imagery. There are many very nice commercial products available.

Are there any products available for casual users, just paying for a few images?

There are many now. You can buy a single image, even schedule to take a live shot at a specific time.

https://skywatch.com/earthcache/

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#87

Post by fnands »

marcopicentini wrote: post #85
fnands wrote: post #84

Earlier quoted context omitted.

I work for a customer of Planet and can confirm, we pay Planet a lot of money each year.

The Planet stock is down -70% since IPO (from 10$ in 2022 IPO to 3$ today). NYSE: PL

And it took Amazon nearly a decade to get back to their internet bubble highs. PL got SPACed onto the stock market during the SPAC bubble.

That being said, while I do believe that Planet has one of the best business models in the industry, I do sometimes worry that they are a bit early, and their customers aren't ready for them yet.

As someone who has to work with their data (among others), Planet has some of the best APIs in the industry (it's a low bar though).

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#88

Post by marcopicentini »

fnands wrote: post #87
marcopicentini wrote: post #85

Earlier quoted context omitted.

The Planet stock is down -70% since IPO (from 10$ in 2022 IPO to 3$ today). NYSE: PL

And it took Amazon nearly a decade to get back to their internet bubble highs. PL got SPACed onto the stock market during the SPAC bubble. That being said, while I do believe that Planet has one of the best business models in the industry, I do sometimes worry that they are a bit early, and their customers aren't ready for them yet. As someone who has to work with their data (among others), Planet has some of the bes…

Why do you think they haven’t rebounded during the last bull market (see Nvidia, MSFT, etc..)

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#89

Post by fnands »

marcopicentini wrote: post #88
fnands wrote: post #87

Earlier quoted context omitted.

And it took Amazon nearly a decade to get back to their internet bubble highs. PL got SPACed onto the stock market during the SPAC bubble. That being said, while I do believe that Planet has one of the best business models in the industry, I do sometimes worry that they are a bit early, and their customers aren't ready for them yet. As someone who has to work with their data (among others), Planet has some of the bes…

Why do you think they haven’t rebounded during the last bull market (see Nvidia, MSFT, etc..)

Not really seen as an AI play. The bull market has been mostly driven by FAANG + Nvidia.

I'm mostly just playing devils advocate here, and the point I'm trying to make is share price alone isn't everything. Planet is growing its revenue YoY, and they might even be profitable soon (lol).

Also, my original point was that the company I work for buys a lot of data from Planet, which is something that's just increasing as we grow.

Re: IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face

#90

Post by marcopicentini »

fnands wrote: post #89
marcopicentini wrote: post #88

Earlier quoted context omitted.

Why do you think they haven’t rebounded during the last bull market (see Nvidia, MSFT, etc..)

Not really seen as an AI play. The bull market has been mostly driven by FAANG + Nvidia. I'm mostly just playing devils advocate here, and the point I'm trying to make is share price alone isn't everything. Planet is growing its revenue YoY, and they might even be profitable soon (lol). Also, my original point was that the company I work for buys a lot of data from Planet, which is something that's just increasing as…

Could you explain the use cases for you company? How do you use their data?
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