#Perseverance had to clear a low mound SW of it so that it could continue on its painstaking westward path. Tosol's drive brought it to RMC 51.4014, where it stopped, not surprisingly, at a low regolith ripple. #Ingenuity is visible.
Processed, rotated, cropped REAR_HAZCAM_RIGHT
looking from RMC 51.4014
Sol 1118, LMST: 12:23:09
EDIT: Forgot attribution, used data copyright OpenStreetMap contributors. Normal qgis 'densify by interval' didn't work (too much detail?), but Geodesic densify did (from the 'Shape Tools' plugin)
New 30m drive and new location for #Perseverance on Sol 1114, RMC 51.2990, the closest so far to #Ingenuity, just 360m south of it, and very close to the edge of the south Neretva Vallis riverbank.
Not as easy to get there, as it may appear at a first glance. Lots of loose regolith. Can the rover afford to say "we're going to cross that bridge when we get there"?
Where's that bridge? 🙃 😀
Processed, rotated MCZ_LEFT, FL: 110mm
looking W (276°) from RMC 51.2794
Sol 1112, LMST: 12:22:51
Does anyone have a good method for downloading single-band Sentinel-2 data?
I've tried a QGIS plugin called "Sentinel2 SoloBand", and a couple of Python libraries called "Sentinel2-single-band-download" and "CDSETools" - and I can't seem to get any of them to work.
The best tool I've found is a QGIS Plugin called "Semi-Automatic-Classification", which just happens to include a Sentinel 2 data downloaded as an extra.
I just learnt that the buffer tool radius in QGIS depends heavily on the projection. And also how easy it is to reproject a layer – just export it! That shifted a purported 800 metres to pretty much exactly the 1000 metres that I'd asked for.
It has been so long since I took the ArcGIS University courses (which I found not that great; perhaps they're better now) that I'm re-learning things that I didn't even know I'd forgotten.
The image shows the location of Bright Angel, a light colored rock formation at the base of the ancient Neretva Vallis riverbank, where #Ingenuity's team said they planned to meet with #Perseverance, had its grounding not occurred. It is very possible that the rover will visit that area in the near future.
Processed, NAVCAM_RIGHT mosaic
looking W (270°) from RMC 51.2794
Sol 1110, LMST: 13:17:18
#HELP !
Quelqu'un aurait une idée de comment "calculer", "déterminer" un centre de gravité géographique entre différents points d'une carte ? Avec quel outil ?
We make the Agroecology Map data available in GeoJSON format so that you can use it in your analyses. You can now export all data and use it under the Creative Commons 4.0 (BY-NC-SA 4.0) license.
See how easy it is to use the Agroecology Map data in the QGIS tool
📢 Join me & Saber Razmjooei for a hands-on workshop on #PointCloud Processing with :qgis: #QGIS at the @foss4geurope conference in Tartu, Estonia. 🗺️🇪🇪
🗓️ Date: 2 July 2024
Early Bird tickets for the conference until 10 May! Register here: 2024.europe.foss4g.org/registration/
#Perseverance moved another ~40m to SW to RMC 51.2390, inching closer to the area where it will again have visibility to #Ingenuity (green on the map). The path shown is a guess.
EDIT: Updated map. New images coming in show that the rover moved further south to avoid some difficult to drive through terrain.
Check out this excellent example of the 'magic' of using Mergin Maps with db-sync to collect data in the field and sync it back to your PostgreSQL database from @rjhale1971 with our partners North River Geographic. Read more about it, along with many other interesting GIS projects and news on their blog.
#Edinburgh 23 bus route, video strip map. Done with #qgis and #Blender, OS OpenZoomStack crown copyright and database right. Going from Greenbank in the south to Trinity in the north.
Wer in GitHub eingeloggt ist, kann sich aus https://github.com/qgis/QGIS/pull/56847 eine ZIP-Datei mit einem Test-#QGIS-downloaden um den Patch auszuprobieren (.exe-Datei, es muss nichts installiert werden).
Rückmeldungen bitte am Besten in den PullRequest auf GitHub schreiben.