Mastodawn

Wir hatten #Datawarehouse.
Wir hatten #DataCubes.
Wir hatten #datalake
Wir hatten #DataSwamp.

Und wir hatten immer das Versprechen, "Entscheider" könnten nun endlich datengetriebene Entscheidungen treffen, selber Auswertungen machen, selber Muster erkennen. Funktioniert hat das noch nie, immer haben Entwickler versucht, mit den passenden Werkzeugen passende Reports zu bauen.

Jetzt füttert man den Datenbestand in ein LLM. Und hofft, dass das LLM nun die Muster findet. Ob diesmal klappt?

Lorena Abad Nov 20, 2024

🎖 I am happy to officially share I received the Outstanding Student and PhD candidate Presentation (#OSPP) Award at the @EuroGeosciences conference this year for my poster titled: "Geomorphic landform monitoring with raster and vector data cubes".

📑 You can find the more right here: https://www.egu.eu/awards-medals/ospp-award/2024/lorena-abad/

#datacubes #rstats #rspatial #EO

Lorena Abad

EGU, the European Geosciences Union, is Europe’s premier geosciences union, dedicated to the pursuit of excellence in the Earth, planetary, and space sciences for the benefit of humanity, worldwide.

European Geosciences Union (EGU)

Filipe C. Felix Aug 1, 2024

We have just launched the new Geoportal of #TerraClass (https://bit.ly/3M9Twwd) with the updated historical mapping series for the #Amazon and #Cerrado biomes!

The maps were produced using #Brazilian technology (#INPE, #EMBRAPA), combining #datacubes (#Sentinel and #Landsat) and Big Data analysis with #SITSpackage.

Terra Class

Lorena Abad Apr 16, 2024

#EGU24 poster up and ready! Come and chat about #datacubes for geomorphological and landform dynamic applications, maybe hear out a couple of my out-of-the-cube ideas about vector data cubes, I would love to hear your thoughts! See you today, Tuesday 16th, 10h45 in Hall X4!

Abstract: https://meetingorganizer.copernicus.org/EGU24/EGU24-10019.html
Poster online version: https://loreabad6.github.io/posters/EGU24/EGU24-poster-betterland.html

@EuroGeosciences

Abstract EGU24-10019

Tomislav Hengl Mar 4, 2024

7 exciting keynotes and more to come for the Global Workshop #OpenEarthMonitor 2024 hosted by International Institute for Applied Systems Analysis (IIASA) 2-4 October at Laxenburg, Austria; https://earthmonitor.org/global-workshop-2024/

Please note the deadline to submit abstracts is due: 15th of March 2024! #opendata #earthobservation #datacubes

As all previous global workshops, talks will be video-recorded and shared via https://earthmonitor.org/knowledge-hub/

Joana Simoes Feb 13, 2024

The #OGCAPI Coverages Code Sprint has started with an overview of the draft standard #standards #coverages #EO #datacubes #sprint #virtualevent

Joana Simoes Jan 30, 2024

Coverages, sometimes called #datacubes, may include weather and climate datasets, #EO time series and point clouds obtained from LiDAR. If you are interested in the interoperability of coverage interfaces, check out the #OGC coverages code sprint: https://github.com/opengeospatial/ogcapi-coverages/wiki/February-2024-OGC-API-%E2%80%90-Coverages-Virtual-Code-Sprint #standards #OGC

February 2024 OGC API ‐ Coverages Virtual Code Sprint

OGC API - Coverages draft specification. Contribute to opengeospatial/ogcapi-coverages development by creating an account on GitHub.

GitHub

Joana Simoes Oct 24, 2023

Cloud Optimised GeoTiff (COG) has finally become an #OGC #Standard! 🤟 COG is a #GeotTIFF optimised for the web, as it enables partial downloading of web-based imagery. It is perfect for being used in conjunction with an #API to provide fast visualisation and processing.
https://mailchi.mp/ogc.org/cog-v1-0-published-as-ogc-standard?e=036b43d207 #datacubes #coverages #EO

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💧🌏 Greg Cocks Feb 22, 2023

The OpenEO API–Harmonising The Use Of Earth Observation Cloud Services Using Virtual Data Cube Functionalities
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https://doi.org/10.3390/rs13061125 <-- shared paper
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#GIS #spatial #mapping #earthobservation #remotesensing #cloudcomputing #interoperability #virtualdatacube #openstandard #API #opensource #cloud #openEO #coding #interaction #raster #rasterdatacube #dataanalysis #scientificanalysis #cloudplatforms #python #communication #data #strategy #programming #javascript #datacubes

The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities

At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Interface) standardises EO-related contracts between local clients (R, Python, and JavaScript) and cloud service providers regarding data access and processing, simplifying their direct comparability. Independent of the providers’ data storage system, the API mimics the functionalities of a virtual EO raster data cube. This article introduces the communication strategy and aspects of the data cube model applied by the openEO API. Two test cases show the potential and current limitations of processing similar workflows on different cloud platforms and a comparison of the result of a locally running workflow and its openEO-dependent cloud equivalent. The outcomes demonstrate the flexibility of the openEO API in enabling complex scientific analysis of EO data collections on cloud platforms in a homogenised way.

MDPI