c.im is one of the many independent Mastodon servers you can use to participate in the fediverse.
C.IM is a general, mainly English-speaking Mastodon instance.

Server stats:

2.9K
active users

#qgis

47 posts40 participants0 posts today

I have a #GDAL / #QGIS question for the #GIS‌ commnunity in the Fediverse #askFedi concerning the use of geolocation arrays in raster datsets, i.e. in bands the hold (for example) the latitude and longitude of each cell in the raster.

I'm used to produce datasets in UTM format, for which adding the appropriate georeference metadata is simple. However, in this case I'm producing a raster dataset where the cells are distributed in a “warped” area (think aerial imagery with non-affine transform from data matrix to geo coordinates). I have arrays holding resp. the latitude and longitude of each pixel, and can add it to the dataset, I can specify the GCRS (lat/lon WGS84), but I can't seem to be able to find the metadata to add to the raster so that the goelocation arrays are correctly identified as such.

Online there seems to be only sparse documentation about this, generally implying that this is only supported for specific dataset types in specific formats (usually, the standard format from common satellite data) and the only pages I've found on how to “roll your own” refer to a single old-ish mailing list contribution that recommends the use of a sidecar VRT file. Are there any more modern solutions possible?

I am toying with the idea to build a (physical) globe 🌍 myself. Preferably using #QGIS and maybe Inkscape for final touches (or other OS tools).

I would like to design the globe as far as possible in QGIS and then use an appropriate projection to output the lobes. Then glue to a sphere using wallpaper glue etc. - I imagine it difficult to get the labels right.

Surprisingly, I can find few resources on how to approach such a project.

Any pointers or own experience?

🚀 QGIS Processing Scripts can now be shared via the QGIS Resources Hub! 🎉

They’re efficient, lightweight tools for automating tasks in #QGIS, requiring #Python & #PyQGIS skills. Easier to develop than plugins, they’re perfect for customizing workflows.

💡 Learn more: hub.qgis.org/scripts/
:qgis:💚

Do you want to learn to create your own QGIS Processing Scripts? Check these resources:
🎥 Watch the tutorial video: youtu.be/DlKBn7vMT4s

📓 Follow the step-by-step guide: courses.gisopencourseware.org/

📢 Today Oslandia and partners ( e.g. @opengisch ) publicly launch the "Security Project for QGIS" : a mutualized funding effort to increase QGIS cybersecurity.

Pledge now 💶 and share the info !

👉 Details here : security.qgis.oslandia.com

⬅️ New regulations (e.g. CRA, NIS2), threat increase, IT requirement, legacy… Many reasons for #QGIS to improve its security practices.

🔐 We will work on tech & organizational aspects, and collaborate closely with the user and dev community.

🔄 Share the word !

OslandiaSecurity Project for QGisOslandia, with other partners and backed by clients and end-users, launches the “Security project for QGIS” : we will work on key topics where security improvements can be achieved. We now call for QGIS users to contribute to this funding effort !

👋 #introduction

🗺 Oslandia is a French SME specializing in OpenSource Geographical Systems ( #GIS ). We design and implement IT systems to manage geographical data.

🎓 We are an opensource editor of #QGIS, experts of #PostGIS, #GDAL, #Python, Web 3D visualization & more …

👩‍💻 Our team of ~30 (great) people is distributed all over France & full remote is at the heart of our organization.

🔗 More info : oslandia.com and linkedin

➡️ We will post company updates and GIS-related infos

OslandiaOSLANDIA(Fr) Formations Postgresql Postgis QGis Web Data et 3D. Prestations de développement sur mesure. Audit et conseil en SIG libre.