#MRDEM
Nach über 13 Jahren trifft unser KSC am Samstag wieder in einem Pflichtspiel auf den VfL Wolfsburg. ⚽

Wer ist der neue Trainer? Was sind die größten Erfolge des Vereins? Was ist die Krzysztof-Nowak-Stiftung? 🧐

Die komplette Gegnervorstellung findet ihr hier! ➡ shorturl.at/MRDem
August 27, 2026 at 9:46 AM
Access to these data are available via both the OpenTopography portal and API: doi.org/10.5069/G9N8...
OpenTopography - Medium Resolution Digital Elevation Model of Canada
The Medium Resolution Digital Elevation Model (MRDEM) product is a multi-source product that integrates elevation data from the Copernicus DEM acquired during the TanDEM-X Mission, and the High…
doi.org
April 10, 2025 at 5:00 PM
The Medium Resolution Digital Elevation Model (MRDEM) of Canada is now available on OpenTopography. This 30 m resolution dataset provides full national coverage, including both DTM and DSM products, and extends into the U.S. to support cross-border hydrologic studies.
April 10, 2025 at 5:00 PM
Nice! I use a lot of NGA stuff, but I have access to all the NRCan MRDEM/HRDEM stuff, so I tend to use that more when I do stuff in the Arctic. I'll have to take another look at it.
August 1, 2026 at 1:43 AM
GEN
Strana s pošukem - vousáčem?
Nesmysl bez sebemenší naděje na úspěch.

KOS
Strana s neúspěšným prezidentským kandidátem?
Nesmysl bez sebemenší naděje na úspěch.

Už Kalousek blahé paměti věděl, že 85 % úspěchu je frontman. Sympatický a s „mrdem v očích“.

Tyhle? Dvě bezpohlavní strany bez Axela.
January 26, 2025 at 11:21 AM
A joy plot view of Hopedale, Nunatsiavut, Labrador. With data from the Canadian MRDEM.
June 19, 2025 at 12:45 PM
Já zas poznám ženu s mrdem v očích.
April 12, 2025 at 11:58 AM
New medium-resolution #DigitalTerrainModel released for #Canada 🛰️

Best-in-class elevation data to support numerical #modeling and #geospatial in areas where high-resolution #LiDAR is not available 🌊

natural-resources.canada.ca/science-and-...

#MRDEM #flood #climate #wildfire #DTM #DEM #hydrology
December 5, 2024 at 2:20 PM
Generating Terrarium encoded tiles from Canada's MRDEM Dataset
As the title suggests, I am trying to generate an mbtiles file with terrarium encoded png or webp tiles from Canada's MRDEM dataset. The data source has provided a VRT file which can be found here: https://canelevation-dem.s3.ca-central-1.amazonaws.com/mrdem-30/mrdem-30-dtm.vrt Based on my readings, I need to re-project the data to web mercator and then from there use rio rgbify to generate the DTM image tiles. For some reason the end result is a tile set that appears to be incorrectly encoded and I'm really not sure where I've gone wrong. The commands I run are first: gdalwarp -te -123.2839 48.9985 -121.8017 49.9344 \ -s_srs EPSG:3979 \ -t_srs EPSG:3857 \ -srcnodata -32767 \ -dstnodata 0 \ -of GTiff mrdem-30-dtm.vrt vancouver-mountains.tif The bounding box is a small mountainous area around Vancouver,BC. I've tried running this command without the dstnodata/srcnodata configuration as well. Then I run: rio rgbify \ --min-z=0 \ --max-z=14 \ --format=webp \ vancouver-mountains.tif \ vancouver-mountains.mbtiles I convert to pmtiles and quickly test: pmtiles convert vancouver-mountains.mbtiles vancouver-mountains.pmtiles pmtiles serve . --port=8900 --cors='*' The end result is a tile that looks like so: By contrast here is the same tile that's generated by the Mapterhorn project: Tile reference is: 10/162/349.webp. When running rgbify I do get some warnings: .pyenv/python3/lib/python3.13/site-packages/rasterio/__init__.py:366: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned. So that could be a clue, but I'm not well versed enough in this area to make sense of it. Finally the gdalinfo output for the VRT file is: Driver: VRT/Virtual Raster Files: mrdem-30-dtm.vrt /vsicurl/https://canelevation-dem.s3.ca-central-1.amazonaws.com/mrdem-30/mrdem-30-dtm.tif Size is 183685, 159653 Coordinate System is: PROJCRS["NAD83(CSRS) / Canada Atlas Lambert", BASEGEOGCRS["NAD83(CSRS)", DATUM["NAD83 Canadian Spatial Reference System", ELLIPSOID["GRS 1980",6378137,298.257222101, LENGTHUNIT["metre",1]]], PRIMEM["Greenwich",0, ANGLEUNIT["degree",0.0174532925199433]], ID["EPSG",4617]], CONVERSION["unnamed", METHOD["Lambert Conic Conformal (2SP)", ID["EPSG",9802]], PARAMETER["Latitude of false origin",49, ANGLEUNIT["degree",0.0174532925199433], ID["EPSG",8821]], PARAMETER["Longitude of false origin",-95, ANGLEUNIT["degree",0.0174532925199433], ID["EPSG",8822]], PARAMETER["Latitude of 1st standard parallel",49, ANGLEUNIT["degree",0.0174532925199433], ID["EPSG",8823]], PARAMETER["Latitude of 2nd standard parallel",77, ANGLEUNIT["degree",0.0174532925199433], ID["EPSG",8824]], PARAMETER["Easting at false origin",0, LENGTHUNIT["metre",1], ID["EPSG",8826]], PARAMETER["Northing at false origin",0, LENGTHUNIT["metre",1], ID["EPSG",8827]]], CS[Cartesian,2], AXIS["easting",east, ORDER[1], LENGTHUNIT["metre",1]], AXIS["northing",north, ORDER[2], LENGTHUNIT["metre",1]], ID["EPSG",3979]] Data axis to CRS axis mapping: 1,2 Origin = (-2453970.000000000000000,3887370.000000000000000) Pixel Size = (30.000000000000000,-30.000000000000000) Corner Coordinates: Upper Left (-2453970.000, 3887370.000) (175d38'54.16"W, 68d 7'32.66"N) Lower Left (-2453970.000, -902220.000) (121d27'10.59"W, 36d35'37.91"N) Upper Right ( 3056580.000, 3887370.000) ( 10d43'19.02"W, 62d45'37.02"N) Lower Right ( 3056580.000, -902220.000) ( 63d 0'40.11"W, 34d21' 7.53"N) Center ( 301305.000, 1492575.000) ( 88d57'23.39"W, 62d31'56.78"N) Band 1 Block=128x128 Type=Float32, ColorInterp=Gray NoData Value=-32767 Overviews: 91842x79826, 45921x39913, 22960x19956, 11480x9978, 5740x4989, 2870x2494, 1435x1247, 717x623
gis.stackexchange.com
November 23, 2025 at 12:02 AM