I've just released #eoAPI-k8s version 0.6.0 https://github.com/developmentseed/eoapi-k8s

#eoAPI is a scalable geodata infrastructure based on #STAC and ready for the cloud. Its components power data distribution for Microsoft's Planetary Computer, NASA, ESA and Planet and others. https://eoapi.dev/

The new version:
* upgraded all components to the latest versions
* includes initial support for multidim data
* and some improvements in the startup to reduce error messages

#FreeSoftware by @developmentseed

#stac and #ogc together at the #stapi sprint in Lisbon! :) #standards #foss #foss4g

First day of the #stapi sprint at #developmentseed was fueled by lots of interesting discussions on issues like intersections with #stac and #ogcapi . Looking forward to more, tomorrow! #standards #geospatial #eo

lazyweb / limited focus question; wishing for a commandline utility to point at a large collection of geodata, read all its metadata and generate a STAC catalogue for it. does such a util exist or is the ask too generic, and i have to DIY?

https://github.com/stac-utils

either a filesystem or eventually s3 storage - it's all sitting on an ancient external drive that makes a hoover noise and literally vibrates the desk rn

What's your favorite minimal geospatial (meta)data management stack right now?

Guess a classic would be #PostGIS and #QGIS PgMetadata plugin

Cloud-native / flat file-only equivalents? #STAC all the way?

#QGIS & #STAC update by @lutraconsulting

https://www.lutraconsulting.co.uk/blogs/stac-in-qgis

Recently, someone mentioned #STAC as a general purpose geodata catalog (not just for imagery but also vector). Is that a thing? And even if it is possible, is it a good idea?

As the OGC API - Records Candidate Standard enters the voting period, you can learn more about this flexible specification at: https://records.developer.ogc.org/ #OGCAPI #standards #catalog #metadata #discoverability #stac

People don't realize just how utterly large scale China's investment in renewables is. This huge 10 sqkm complex didn't exist 2 years ago.

Unfortunately, #OpenStreetMap reliance on VHR imagery from vendors such as Mapbox & Esri means it's impossible to map it because there's no control over image recency.

This is a Sentinel-2 image from 3 days ago, and it's about time this free and open imagery source is enabled for OSM mapping purposes.

anyone working on iD editor fancy adding #STAC support?

There is a lot of public geospatial data provided as opendata which is not readily available via API.
I am wondering if there is anything like a public European data infrastructure which allows to host such data in a modern, standardized way to make it easily accessible for everyone at scale (cloud native data formats, STAC catalog, ...)?

Especially I am thinking about lidar data and derived products (DSM, DTM) and a solution similar to opentopography.org.

#30DayMapChallenge

Day 12: Time and Space

Obsidian #STAC (spatiotemporal asset catalog) extension. Search a STAC API and retrieve json results right in Obsidian.

Code/extension: https://github.com/darrenwiens/obsidian-stac-search
Info: https://darrens-geospatial-curiosities.netlify.app/obsidian-stac-search

17 - Panoramax : les mains dans le cambouis !

https://peertube.openstreetmap.fr/videos/watch/1bd78b39-e580-4647-ae1b-600baa4b2bbf

I'm getting "rasterioIOerror (...) not recognized as a supported file format" when reading images from the #usgs #stac catalogue, collection landsat-c2l2-sr

Any idea what's going on? Do I need to authenticate first?

Spent the morning playing with pystac-client and Dask. It's interesting for small areas but I still need to figure out how to scale it when working with huge extents.

If, like me, you are confused about all the terminology around geospatial cloud computing and how it all fits together, I recommend this video. Great explanation! #STAC, #COG, #Zarr, #Dask, #AWS, #EarthEngine
https://www.youtube.com/watch?v=YPno-89l54Q

Has anyone managed to use the #Copernicus #dataspace catalogue to access any #netcdf files? I can search for things, but ultimately, these are ungridded datasets, so I don't know how they work with #STAC friendly libraries like #stackstack or #odc....