Cloud-Native Asset Model with STAC
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00:00
Streaming mediaProcess (computing)Point cloud
00:06
Normed vector spaceOpen setGamma functionLaceFile formatExtension (kinesiology)MetadataLibrary catalogDifferent (Kate Ryan album)Computing platformType theoryShape (magazine)MetadataComplex (psychology)Process (computing)AlgorithmData storage deviceMultiplicationSingle-precision floating-point formatExecution unitInternet service providerSatelliteUniform resource locatorInformationStack (abstract data type)Combinational logicSoftware developerLibrary catalogFile formatMereologyProcess modelingCategory of beingComputer fileKey (cryptography)DemosceneLevel (video gaming)Point cloudElectronic visual displayLatent heatMultiplication signDebuggerCASE <Informatik>Computer animationLecture/Conference
04:34
Least squaresComputer-assisted translationComputer animation
Transcript: English(auto-generated)
00:00
Hey, yeah, I am but so I work at a 42 Sorry for coming up again another collab native, you know like terminology So our problem was basically when you have we are we are we are a platform where you can buy satellite imagery from different providers and if you get one imagery on your storage one
00:22
delivery on your storage you end up with many multiple different shapes of Metadata and also the files sometimes they have like they have PNG files TIF files NTF as text files and sometimes they deliver in a format that you really need to
00:41
analyze well what's going on with this shapes and Formats and also for the metadata. There are some there are some even people Putting their logo in the delivery. So it's too much information usually so We use stack as a it's it's a very nice solution just to tidy up things
01:04
and basically, we we started to Use stack for our storage. So if you go to the storage and maintain this complexity Stack is already tidying up many thing for you and the developers But our problems again
01:22
Then there are like many ways of doing stack because stack does not dictate you how you should combine Collections catalogs and items there are very nice. I think definition of item which is more like atomic unit It's a single location single day time, but if you want to combine, you know
01:43
how we should do collections and items and we should Name assets keys and properties, etc. You again end up with multiple questions how we should do for Maintaining a storage scene and that was our basically main
02:04
Model that whenever you have an asset afford to the asset we call but you can have another asset just one asset that you have on your search you transfer it to your storage and we made it equal to a stack collection
02:22
Because sometimes you have stereo imagery or multiple imagery from different part of the earth They can actually relate to different location different daytime so it was a wise idea to have a one step collection to define one asset delivery and one catalog for your auto storage and items
02:42
For your like different imagery parts and many many other different stack assets So it's it's looking like this actually Mostly, I'm skipping the properties properties are almost standard in stack or
03:01
The assets are usually very different depending on the provider We basically, you know follow the best practices in stack They are pretty useful and most of the times whenever we have a question you just like check the specification and best practices and you find the answer and
03:20
What what we do is like we add some same information also for people are using it like we facilitate roles more we try to standardize how we make the titles and we try to also convert every tiff or Every imagery formats to the cloud native assets so that in the later stage you can use it very easily
03:43
And this got quite standard I think and it's getting useful. What is useful is that it's very useful for front-end front-end people are very happy with this because they have now reliable metadata where they can get information and easily display on the map and for different
04:05
For different providers, it is standard. They don't have to deal with all the complexity They just use this model and what is also like videos for that if you want to process this complexity Depending on all providers have a different shape and if you come up with an algorithm you have to add up for all providers
04:23
but in this case, it is also getting much much easy to process all different type of data and It got like it's very getting useful in the processing platform That's it