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  1. How to efficiently query data at point coordinates from collection in ?
    We have a bunch of points and e.g. want to calculate the mean raster value for each point with a buffer.
    dom.stac.lgln.niedersachsen.de

  2. 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.

  3. Results for the 4th German National Forest Inventory have just been released. A poster I created some years ago gives a rough idea of the effort involved.

  4. lasR, a new software for working with large lidar datasets, developed by the author of the lidR package, one of the most dedicated and experienced developers in this field I know. It is free, open source and very fast. Currently there is an R API with others possibly coming in the future.

    github.com/r-lidar/lasR

  5. @opendata @MisterOpenData Hallelujah, mittlerweile ist die Verordnung zu High Value Datasets in Kraft.
    Trotzdem bin ich noch kein bisschen schlauer zu meinen Fragen von vorher. Gibt es da mittlerweile irgendwo Antworten zu finden oder müssen wir warten bis die ersten Klagen eingehen und ein Gericht das entscheided?