Launch HN: Albedo (YC W21) – Highest resolution satellite imagery
202 points| topherhaddad | 5 years ago | reply
My technical background is primarily in optics/imaging science related to remote sensing. I previously worked for Lockheed Martin, where I met AJ, who is an expert in satellite architecture and systems engineering. We’ve spent most of our career working on classified space systems, and while the missions we were involved with are super cool, that world is slower to adopt the latest new space technologies. We started Albedo in order to create a new type of satellite architecture that captures high resolution imagery at a fraction of the cost historically required. Winston was previously a software engineer at Facebook, where he frequently used satellite imagery and realized the huge potential of higher resolution datasets.
While the use cases for satellite imagery are endless, adoption has been underwhelming - even for obvious and larger applications like agriculture, insurance, energy, and mapping. The main limitations that have prevented widespread use are high cost, inaccessibility, and low resolution.
Today, buying commercial satellite imagery involves a back-and-forth with a salesperson in a sometimes months-long process, with high prices that exclude all but the biggest companies. This process needs to be simplified with transparent, commodity pricing and an automated process, where all you need to buy imagery is a credit card. On the accessibility front, it’s surprising how few providers have nailed down a streamlined, fully cloud-based delivery mechanism. While working at Facebook, Winston sometimes dealt with imagery delivered through FTP servers or physical hard drives. Another thing users are looking for is more transparency when tasking a new satellite image, such as an immediate assessment of when it will be collected. These are all problems we are working on solving at Albedo.
On the space side, we’re able to achieve the substantial cost savings by taking advantage of emerging space technologies, two of which are electric propulsion and on-orbit refueling. Our satellites will fly super close to the earth, essentially in the atmosphere, enabling 10cm resolution without having to build a school bus sized satellite.
Electric propulsion makes the fuel on our satellites way more efficient, at the expense of low thrust. Think about it like your car gasoline going from 30 to 300 mpg, but you could only drive 5 mph. Our propulsion only needs to maintain a steady offset to the atmospheric drag, so low thrust and high efficiency is perfect. By the time our first few satellites run out of fuel, on-orbit refueling will be a reality, and we can just refill our tanks. We’re still in the architecture and design phase, but we expect to have our first few satellites flying in 2024 and the full constellation up in 2027.
The current climate crisis requires a diverse set of sensors in space to support emissions monitoring, ESG initiatives/investments, and infrastructure sustainability. Thermal sensors are a key component for this, and very few are currently in orbit. Since our satellites are larger than normal, they are uniquely suited to capture the long wavelengths of thermal energy at a resolution of 2 meters. We’ll also be taking advantage of advances in microbolometer technology, to eliminate the crazy cooling requirements that have made thermal satellites so expensive in the past. The current state-of-the-art for thermal resolution is 70 meters, which is only marginally useful for most applications.
We’re aiming to adopt the stance of being a pure data provider (i.e. not doing analytics). We think the best way to facilitate overall market growth is to do one thing incredibly well: sell imagery better, cheaper, and faster than what users have available today. While this allows us to be vertical agnostic, some of our more well-suited applications include: crop health monitoring, pipeline inspection, property insurance underwriting/weather damage evaluation, and wildfire/vegetation management around power lines. By making high-res imagery a commodity, we are also betting on it unlocking new applications in a similar fashion to GPS (e.g. Tinder, Pokemon Go, and Uber).
One last thing - new remote sensing regulations were released by NOAA last May, removing the previous limit on resolution. So between the technology side and regulatory side, the timing is kind of perfect for us.
All thoughts and questions are appreciated - and we’d love to hear if you know of any companies that could benefit from our imagery. Thanks for reading!
[+] [-] enriquto|5 years ago|reply
Some (minor) questions:
> both visible and thermal imagery - at a resolution 9x higher than what is available today
This sentence is infuriatingly ambiguous. Does the 9x refer to only thermal, or also to visible? And what does 9x even mean? Today I can buy worldview3 data which is 30cm/pixel. Are you offering 3.33cm/pixel? I don't think that this is possible without a major, Nobel-prize deserving, breakthrough in optical imaging.
> Today, buying commercial satellite imagery involves a back-and-forth with a salesperson in a sometimes months-long process, with high prices that exclude all but the biggest companies.
This does not match with my personal experience. For many satellites, I can just click a region of interest on a map, and pay the satellite data using a credit card. It is much cheaper to get images from the archive than tasking, but apart from web-UX shenanigans the process is quite streamlined.
> The current climate crisis requires a diverse set of sensors in space to support emissions monitoring
What wavelengths are you aiming for? What spectral resolution? I'd say that most emissions detection happens at the near and short-wave infrared bands, far from the thermal. What climate-relevant emissions are you thinking about, specifically?
I love the contents of this message, but I would like to see it much more specific. This first paragraph it's ok but reads like marketing-speak, not a scientific language.
> While the use cases for satellite imagery are endless, adoption has been underwhelming
This sentence is comically false.
[+] [-] topherhaddad|5 years ago|reply
For thermal, we're only doing broadband 7.5um - 13.5um. You're correct in that direct emissions measurements is best made with SWIR. However, there are applications where heat signatures can be used to calculate emissions. For example, if you know the surface material and fuel type of a power plant, you can calculate carbon emission from the heat signature in the thermal image. Climate Trace will use our data for this.
[+] [-] woodgrainz|5 years ago|reply
So no Nobel-prize level achievements needed in optical breakthroughs.
[+] [-] simonebrunozzi|5 years ago|reply
I've never done it. Can you provide a few links I can try?
[+] [-] pedalpete|5 years ago|reply
The question I have is regarding diminishing returns of satellite vs aerial at high resolutions. We're one example of a service that needs large areas of high resolution imagery, but most use cases as we understand them, are focused on areas in the sub-kilometer range, and therefore can likely be well serviced by drones in the near future.
Planet Labs, as an example, seem to now be focusing less on the source of the imagery, and mixing satellite with aerial in order to get the best result, using the right tool for the job.
I'm sure you've thought deeply about this, and I'd be keen to understand why you think theirs is the wrong appraoch.
[+] [-] dr_orpheus|5 years ago|reply
When I read statements like this, I tend to read it as "We are not Maxar (Digital Globe)". They are definitely the "legacy" in the commercial satellite imagery market. But what do you see as the discriminator of your company to newer companies providing commercial imagery like Planet and BlackSky? High resolution and thermal imagery are certainly discriminators but other companies are driving that direction too (higher resolution, larger spectral coverage).
[+] [-] topherhaddad|5 years ago|reply
[+] [-] jl2718|5 years ago|reply
[+] [-] topherhaddad|5 years ago|reply
[+] [-] Nightlifer|5 years ago|reply
You note the parallel with GPS - but this is a 'free spinoff' developed by and for the US govt (and still bankrolled by the US taxpayer) rather than something owned and run by private enterprise. GPS was never developed explicitly with profit in mind. In GPS, the end user also 'owns' their gps traces, in that they can choose to share them with 3rd parties freely. Additionally, there is no value discrimination in gps - all traces are treated the same by the infrastructure owners regardless of how valuable they are (no one is charged more if they use the gps on their phone to enable lots of apps vs someone who only uses it for a single thing). Imagery data on the other hand is much more likely to have different value depending on what is being imaged (there is more value in an image of a busy port than there is of a random patch of empty ocean).
My feeling is that the high res imagery market right now feels more like the market for satellite automatic identification system (AIS) data used in maritime. AIS data is expensive because it is gate-kept by a relatively small number of satellite companies who charge a premium for access and carefully guard how that data is used by onward parties - completely unlike GPS.
As in AIS, because a small number of imagery companies will not only own the infrastructure, but also the images produced by that infrastructure, I'm not sure how it can be commoditised in the same way GPS has been - unless you plan to charge a low flat fee for essentially all images regardless of what they depict and what they are used for?
[+] [-] topherhaddad|5 years ago|reply
[+] [-] Alasater|5 years ago|reply
[+] [-] sandworm101|5 years ago|reply
Tell that to the military. There are people who will pay serious money for a particular patch of ocean if it can be done reliably at an exact time.
[+] [-] scrappyjoe|5 years ago|reply
AWS has addressed this by making it possible to buy a 3 year compute ‘asset’ which you can record as a capital expense rather than an operating expense.
Pay attention to pricing your product in a way that enables your customers to buy it!
[+] [-] winstontri|5 years ago|reply
On the AWS topic, we've similarly seen a good amount of reception around a credits-based system.
> Pay attention to pricing your product in a way that enables your customers to buy it!
You're absolutely correct and thank you for the feedback!
[+] [-] neurotech1|5 years ago|reply
[0] https://spacenews.com/commerce-department-releases-streamlin...
[+] [-] burnte|5 years ago|reply
[+] [-] thebeardisred|5 years ago|reply
Edit: apparently NRO doesn't host their website on the bare domain.
[+] [-] sandworm101|5 years ago|reply
[+] [-] evil-olive|5 years ago|reply
Are there any companies you're aware of that are working on this currently?
If this doesn't materialize in the timeframe you expect, how would that affect your business model? Would you need to raise prices to cover the additional cost of launching new spacecraft to replace old ones that run out of fuel and de-orbit after X years?
This seems like a bit of a chicken-and-egg problem - even if on-orbit refueling becomes commercialized by the time your spacecraft runs out of fuel, you'll need to launch with whatever hardware is necessary to allow the "tanker" spacecraft to dock and transfer propellant. Defining that interface in such a way that spacecraft from multiple companies can all be refueled by a single "tanker" spacecraft seems tricky both from a technical angle as well as from a political/social one.
[+] [-] topherhaddad|5 years ago|reply
[+] [-] tullianus|5 years ago|reply
> We’ll also be taking advantage of advances in microbolometer technology, to eliminate the crazy cooling requirements that have made thermal satellites so expensive in the past.
[+] [-] topherhaddad|5 years ago|reply
[+] [-] Brajeshwar|5 years ago|reply
What is the best possible way to email you so I can have it and searchable in future to refer back to you (when you are ready for commercial release)?
Here is something I learnt recently. High-Resolution imagery are sleek and nice. This, actually, turns out to be a victim-of-success scenario where potential customers expects such imagery for the sake of it but they won't pay and, honestly, don't need it to be so clear (especially in Agriculture). We realized that the data from a 3-meter resampled is good enough for most needs.
[+] [-] topherhaddad|5 years ago|reply
Feel free to fill out the Contact Us form on the website and we'll keep you updated as we get closer towards commercial release!
[+] [-] rasen58|5 years ago|reply
[+] [-] winstontri|5 years ago|reply
Agriculture is an interesting use case we're also excited about! While it's one of the most obvious applications, adoption has been curbed through historically high minimum order sizes, where cost is an implicit factor. Some providers require up to a 250 sq. km minimum order area, which already prices out a lot of small time farmers. We're hoping to reduce our minimum order area to 1 sq. km. and help enable this semi-neglected portion of the market. One company we're excited about in this space is Enveritas, a company looking using geospatial data to push for sustainability within the global coffee industry.
That's just one I can think of from the top of my head!
[+] [-] omneity|5 years ago|reply
[0]: https://monitoro.xyz
[+] [-] wedn3sday|5 years ago|reply
[+] [-] oleh|5 years ago|reply
I was thinking about building a low-code SaaS to make analyzing such imagery simpler and more accessible. Think of LabView in a browser. A graphical programming environment that compiles to Python, so that the whole Pandas and AI universe was available and simple analysis and data presentation workflows could be built by anyone. Input daily imagery, automatically output time-series graphs, curve fits, augmentation by other data sources (stocks, weather, AIS, etc), ... seems like a natural combination to me, but maybe I’m too excited over my own idea?
I have to admit though, having earned a physics PhD in a laser lab, I would much prefer to work on optics and satellite tech than software ;-)
[+] [-] winstontri|5 years ago|reply
Google Earth Engine, Astraea, Descartes Labs, and a whole host of other companies have demonstrated a ton of value in this space, so you're absolutely correct. There's definitely work to be done fusing in other data sources like AIS, but I think the foundation is set.
Let us know if you end up building it - we'd be more than happy to float you some test data!
[+] [-] davorb|5 years ago|reply
[0] https://www.aaas.org/resources/geospatial-technologies-and-h...
[0] https://www.amnesty.org/download/Documents/12000/asa24010201...
[+] [-] topherhaddad|5 years ago|reply
[+] [-] mam2|5 years ago|reply
[+] [-] byefruit|5 years ago|reply
A few questions.
How big do you foresee your constellation being?
How fair is the comparison in your Google Photos link? The image on the right seems to have significant artifacting that looks more a side effect of compression.
[+] [-] topherhaddad|5 years ago|reply
We used a drone to capture this image at our representative resolution (10cm), but it only captures in JPEG so there could be compression artifacts from that. The image on the right is a 1/3 downsampled version to show 30cm resolution.
[+] [-] ricksunny|5 years ago|reply
Since much of the tech stack you describe seems to be offered by Planet, (and having experienced the delays and sticker-shock associated with the salesperson-driven enterprise sales process with such companies firsthand), might the industry evolve in such a way that Albedo act as a priceline.com / overstock 'off-brand' reseller of Planet's existing data pipelines? Does developing your own tech-stack basically give you 'table stakes' i.e. signaling a viable alternative to sales channel conversations with existing satellite imagery providers?
[+] [-] winstontri|5 years ago|reply
I would say that the industry is already trending towards more of a third-party reseller model with companies like Arlula, UP42, Astraea, and numerous others. While we do see the benefits of being able to offer multiple sources of satellite data (virtual constellations combining high-res, low-res, SAR, hyperspectral, etc.) we want to limit our attention to doing one thing extremely well: providing high-res visible imagery.
To your point of developing our own tech-stack for "table stakes" - we certainly hope so. Planet has done a lot of fantastic work here as far as developing robust imagery pipelines but stopped short of removing salespeople from the process. We're hoping to take their approach a step further and remove that manual (human) component from both the sales process and delivery pipelines.
Hope that helps!
[+] [-] epaga|5 years ago|reply
Microsoft entered the flight sim space with MS Flight Simulator last year, and was able to leverage their massive set of Bing data, so any smaller flight sim out there that uses ortho textures would very possibly be interested in "better, cheaper, and faster" imagery.
[+] [-] winstontri|5 years ago|reply
[+] [-] mNovak|5 years ago|reply
Are you building up your own ground network for collection, or planning to use a third party service?
Likewise as a SATCOM antenna designer, I'm curious to know what constellation designers such as yourselves think of the current 'big dish' gateway infrastructure.
[+] [-] Alasater|5 years ago|reply
In terms of the 'big dish' gateway infrastructure, it eases link budgets and opens bigger pipes, but if you're limited in your output power and your access, having smaller dishes and more proliferated networks may make more sense (sounds similar to your Big satellite vs many small satellite trades :) )