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Posts with #PlanetaryComputer

#PlanetaryComputer

Public posts on X that use #PlanetaryComputer.

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  1. Tom Augspurger@TomAugspurger
    I discovered today that the #PlanetaryComputer's data API has a "crop" endpoint: The data API is based on TiTiler ( which has a ton of features I need to dive into (more about that 3dep-lidar dataset in a future thread)
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  4. Max Lenormand✓@MaxLenormand
    Tomorrow is the livestream where we'll run the same analysis comparing: - @brunosan with Microsoft Planetary Computer - @datamongerbonny with QGIS - @giswqs with Google Earth Engine Monday 23rd Jan at 8:30pm UTC - 21:30 CET - 3:30pm EST Here's the link:
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  5. Qiusheng Wu✓@giswqs
    Tune in for the YouTube live stream at 3:30 PM EST on Monday, Jan 23. We will showcase how to estimate flood extent using #PlanetaryComputer, #EarthEngine, & #QGIS. #geospatial #gischat
    Max Lenormand @MaxLenormand
    On Monday 23rd I'll host a livestream with @brunosan, @giswqs & @datamongerbonny to run the same analysis using Microsoft's Planetary Computer, Google Earth Engine & QGIS respectively Monday 23rd Jan at 8:30pm UTC - 21:30 CET - 3:30pm EST on @MindsBehindMaps YT channel
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  11. Ryan Abernathey✓@rabernat
    This was such a great overview of these three powerful platforms. My takeaway: the open source tools from QGIS and Planetary Computer are powerful and flexible, but in terms of UX for the chosen workflow, GEE absolutely takes the 🍰.
    Max Lenormand @MaxLenormand
    Thank you to everyone who showed up on our livestream to demo and compare Google Earth Engine, Microsoft Planetary Computer & QGIS! With @brunosan, @giswqs & @datamongerbonny The replay is here:
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  12. Max Lenormand✓@MaxLenormand
    Thank you to everyone who showed up on our livestream to demo and compare Google Earth Engine, Microsoft Planetary Computer & QGIS! With @brunosan, @giswqs & @datamongerbonny The replay is here:
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  13. Ryan Abernathey✓@rabernat
    @rabernat
    @brunosan The harder part is once you need to scale out compute. IMO the UX of having to create and scale up a Dask cluster manually is where it gets really confusing for users. This is really hard to solve at the OSS level and requires a more deeply integrated architecture. 2/2
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  16. Impact Observatory@ImpactObserv
    Interesting thread 🧵by Jonathan Amos @BBCAmos accompanying his piece on the @Esri 2020 Land Cover map, made using a @ImpactObservatory deep learning model and @esa #Sentinel2 imagery and large scale compute provided by @Microsoft_Green #PlanetaryComputer
    Jonathan Amos @JCDAmos
    .@Esri, @ImpactObserv & @Microsoft_Green took the entire scene collection from the @defis_eu @ESA_EO #Sentinel2 #satellites in 2020 to make a land cover map of Earth at 10m resolution - in just under a week. The power of #MachineLearning.
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  20. Qiusheng Wu✓@giswqs
    Breaking: @Esri launches 2020 global 10m land cover map powered by Impact Observatory deep learning algorithms and Copernicus European Space Agency - ESA Space Agency Sentinel-2 imagery, leveraging the Microsoft #AI for Earth #PlanetaryComputer. #eochat
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  24. Impact Observatory@ImpactObserv
    In partnership with @Vizzuality and with support from @Microsoft, we're excited to share this new dataset on Biodiversity Intactness using IO's global land cover data with @NHM_London PREDICTS data. You can learn more at the link below, or see the data on #PlanetaryComputer
    Vizzuality @Vizzuality
    Newly released on the @Microsoft #PlanetaryComputer: Vizzuality & @ImpactObserv's new high resolution spatial models on biodiversity intactness combining @NHM_London #PREDICTS data, @esa @CopernicusEU imagery, & other data. Find out more:
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  26. Element 84@Element84
    If you haven't read our blog from @petegadomski focused on the components of Microsoft's #PlanetaryComputer and how it connects with STAC, what are you waiting for? Check it out! ⬇️
    SpatioTemporal Asset Catalog @STACspec
    @Microsoft's #PlanetaryComputer is built on the @STACspec and the open system of tools around that specification. Read Pete's latest blog to learn more about Planetary Computer's various components, how MS uses #STAC & how this work benefits the larger community #geospatial👇🏽
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  28. Brad Smith✓@BradSmi
    It will take the right partnerships and technology to advance the #SDGs, from bringing a strong coalition together for the #ChristchurchCall to building the #PlanetaryComputer for data to tackle environmental goals. @CSharrockParis talks about Microsoft’s mission at the UN:
    Microsoft On the Issues @MSFTIssues
    Q&A: Why the SDGs need more innovative and effective alliances. Hear from @CSharrockParis, VP of UN Affairs and International Organizations, at @Microsoft on the importance of partnerships and better use of data and digital technology to achieve the #SDGs
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  29. Microsoft On the Issues✓@MSFTIssues
    Q&A: Why the SDGs need more innovative and effective alliances. Hear from @CSharrockParis, VP of UN Affairs and International Organizations, at @Microsoft on the importance of partnerships and better use of data and digital technology to achieve the #SDGs
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