20 Years: Happy Birthday OSGeo! https://geoobserver.de/2026/02/04/20-years-happy-birthday-osgeo/ #OSGeo #gistribe #gischat #fossgis #foss4g #spatial #geospatial #opensource #PostGIS #PostgreSQL #mapserver #geoserver #qgis #plugin #switch2qgis #gdal #geos #gis #geo #geoObserver pls RT
#GDAL
Does #gdal warp have the ability to crop to valid data (to exclude large no data areas on the external bits of the image) something a bit like crop to cutline (ish)?
Introduction to the Geospatial Abstraction Library (GDAL) with the new CLI
@barneyharris blend modes will be available in next #gdal version (https://github.com/OSGeo/gdal/pull/13688), probably this will be straight forward via {gdalraster}, {gdalcli} then
new GDAL in-dev backend for #xarray coupled directly for Multidim *and* Classic raster (and actually works, pretty good improv this week) #python
https://github.com/mdsumner/gdx
Please try it out with your most | least favourite Zarr! If you have connection issues just ask I know enough to be dangerous and I'm pretty good with #GDAL would love any feedback 🙏
Some #weeknotes on why I failed to update one of my biodiversity pipelines last week due to upstream issues with #gdal on macOS:
https://digitalflapjack.com/weeknotes/gdal-and-filestar-vs-macos/
I added to "band_data" a '_CRS' attribute as dict with 'url', 'wkt' & 'projjson' infos (EPSG 3857), saved the whole thing as :zarr: file and hoped :gdal: can open it in :qgis:
However :gdal: seems to have trouble finding the coordinate reference and assumes the origin is 0,0 (Extent 0.0, -8192.0 : 4096.0, 0.0).
Now, my question: where do I store the "_CRS" dict correctly? Do I also need to add a GeoTransform infos? If yes, where?
Sorry, that I misuse this platform for my silly question:
I have a :xarray: dataset
Dimensions: (time: 1, band: 4, y: 8192, x: 4096)
Coordinates:
* time datetime64[ns] 8B 2023-06-15
* band <U5 80B 'Red' 'Green' 'Blue' 'Alpha'
* y float32 33kB 7.064e+06 7.064e+06
* x float32 16kB 1.194e+06 1.194e+06
Data variables:
band_data (time, band, y, x) uint8 134MB dask.array<chunksize=(1, 4, 1024, 1024), meta=np.ndarray>
spatial_ref int64 8B ...
Great vídeo from @hansakwast "Introduction to the Geospatial Abstraction Library (GDAL) with the new CLI"
Practical examples to manipulate raster and vector files with #gdal 's new commands.
Thank you Hans!
🎉 New year, new #GIS skills! ⌨️ Learn scripting in #QGIS with my free course at @gisopencourseware.bsky.social@bsky.brid.gy: no complex setup, just start from QGIS. Topics: #GDAL #CLI #Python basics #PyQGIS with the Notebook plugin ✨ 👉 courses.gisopencourseware.org/course/view....
🎉 New year, new #GIS skills!
⌨️ Learn scripting in #QGIS with my free course at @gisocw : no complex setup, just start from QGIS.
Topics:
:terminal: #GDAL #CLI
:python: #Python basics
:qgis: #PyQGIS with the Notebook plugin ✨
👉 https://courses.gisopencourseware.org/course/view.php?id=80
🚀 QGIS2VectorTiles v1.2 is out!
✅ Full support for #QGIS data-defined properties (symbols and labels)
✅ Improved centroid label generation (choose whether labels are based on the whole polygon or only the visible part)
⏩ Next step ➔ Generating #MapLibre sprites 🔥
#VectorTiles #GIS #FOSS #Geospatial #GDAL #Cartography #wms #wmts
Introducing gdalcli by Andrew Brown -- an R frontend to GDAL’s unified CLI (≥3.11) 🌐
Compose and execute GDAL workflows with pipe-friendly functions.
Learn more: https://github.com/brownag/gdalcli
Trying #Guix for spatial works and #gdal version is a bit behind of what I like (3.8.2 and 3.10+ is really nice). I guess I will need more time to understand the gigantic geo manifest file (https://codeberg.org/guix/guix/src/branch/master/gnu/packages/geo.scm).
It has already a lot of good stuffs (all your Python and common CLI needs) but R package {sf} and {terra} seems to be in cran.scm
scan 2400 (so far) packages on CRAN try open with #GDAL
dplyr::group_by(x, driver) |> count() |> arrange(desc(n)) |> as.data.frame()
driver n
1 PNG 4897
2 CSV 2038
3 <NA> 1114
4 JPEG 603
5 XYZ 418
6 XLSX 200
7 GTiff 171
8 ESRI Shapefile 120
9 netCDF 89
10 PNM 25
11 XLS 20
12 Parquet 13
13 BMP 12
14 Arrow 10
/1
#rstats raster logic without pixels, introducing {vaster} #GDAL
https://www.hypertidy.org/posts/2025-12-21_vaster-grid-logic/vaster-grid-logic
GDAL Released: v3.12.1 https://geoobserver.de/2025/12/19/gdal-released-v3-12-1/ via @GdalOrg @EvenRouault #gdal #ogr #qgis #switch2qgis #fossgis #foss4g #opensource #gistribe #gischat #spatial #geospatial #gis #geo #geoObserver pls RT
Folks be sure take the #GDAL user survey for 2025, last year's brought a lot of improvements
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