@borlafgis thanks a lot. I will try this tomorrow morning.

@IngolfKuehn looks very nice. According to the tracks, East Berlin is frequently visited.

@borlafgis thanks Ignacio, that would be terrific.

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?

2/2 #xarray #gdal #zarr

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 ...

1/2 #xarray #gdal #zarr

Have you ever thought to yourself: "It sure would be nice to see the geometry for baseball fields of Nebraska" or "raceways of Germany"... wow, me too! That's fun.

X-of-Y may be the perfect thing. You give it an overpass query and it does it's best to show you everything neatly side by side.

Here's every jetsprint boat lake in the world (on OSM!).

https://watmildon.github.io/XofY/

#openStreetMap #datavis #XofYOSM

How much vegetation does Australia have? It has 13 gigabytes of vegetation.

Whilst everyone is sharing their #SpotifyWrapped, the band Los Campesinos! shared how much they made from streaming services for their album All Hell:

🔗 https://loscampesinos.com/heres-how-much-money-los-camp-make-from-streaming/

#Music #MusicIndustry #Streaming #Bandcamp #Tidal #AppleMusic #Spotify #YouTube #Amazon

The sun is rising over Berlin.

last update on the small town. https://osm.org/go/T7cEgoDCN- #osm #openstreetmap #Maps #mapping #smalltowns - Before and After

@terence very cool. +1

#30DayMapChallenge · Day 19 · Projections. Here's a visualisation of eight map projections.

#ggplot2 adventures, an #rstats tale

@lenarena reminds me of the book "A stadium goes - the legend remains" from Michael Holler. #LostGrounds

Now this. This is #solarpunk.

A true community-owned gardening project. So many stadiums and sports institutes are just left to rot once they're no longer profitable, instead of being reused for the greater good. Remember, repurposing is always easier than recycling.

Image source: https://redlib.catsarch.com/r/solarpunk/comments/1oatw62/taipeis_old_stadium_turned_into_a_community_garden/

@jeremy beautiful, thanks. 🎉

#zarr
#xarray

@jeremy useful to add #zarr #xarray emojis? 🙏 😀

There are many good examples of how to use the .zarr file format, but only a few examples of how to create a solid zarr (version 3) file from a bunch of .tif files. Who knows a good pipeline for #zarr creation? #cloud-native-geospatial #CNG