Author here, I wrote this to show how you can use the rayshader package to generate 3D maps in R using free and open data (in this case, Landsat 8 imagery and SRTM elevation data). You can check out rayshader's Github repo here:
Mapbox has an API you can query from--I believe they have a free tier. The `ceramic` package makes this easy to pull from, but you need to get a Mapbox key first:
Additionally, the `elevatr` package (https://github.com/jhollist/elevatr) serves tiles directly from AWS Open Data Terrain Tiles. I don't believe it requires a key.
Related: in my masterclass (free and open source, materials here: https://github.com/tylermorganwall/MusaMasterclass) I also walk through how you can convert LIDAR data into hi-res DEMs to generate 2D and 3D maps
This is the best option for free terrain tiles. There are four formats, though "Terrarium" is the most used. It maps RGB pixels in a PNG to raw elevation values using this formula [0].
If you're using Mapbox GL, you can just point your map to [1] to fetch the tiles, and then use it as a hillshade. I do that in my topographic map style [2].
Cudos to this code and the beautiful artwork (great README file for a github repository, btw). As somebody who worked a bit in visualization in scipy and blender, I can appreciate how much hard work have been put there. I did visualization as a small side project during my astrophysics PhD, and it was a pain in the ass to get anything good looking out of the data.
Thanks! I always enjoy when a library has a solid README with examples, especially when it's a visualization library. Wanted to make sure I had one myself.
No color support, but you can export the map to an STL file with the function `save_3dprint()`. You can declare the maximum width/depth and it will scale the model to the size you've specified.
The R GIS ecosystem has seen great strides recently! I've just been working on one part of it: 3D visualization and computational hillshading/raytracing.
And that video looks like a great resource--I'll put it on my watch list.
You should check out Mapdeck [0]. It's R bindings to deck.gl, a JS 2D/3D geo-visualization package that I've been contributing to. As of version 8.1, there's a TerrainLayer [1] to render an interactive map with a 3D terrain mesh.
I was searching around and found something noting they won a contract to build the Army's One World Terrain 3d model. This OWT appears to be some kind of classification for applying sat imagery over terrain data sets, maybe?
It looks like they're a firm that does large-scale photogrammetry to build 3D models worldwide--this is just a tutorial on how to combine existing topographic datasets (e.g SRTM or a USGS elevation product) with satellite imagery to generate small-scale 3D maps in R. Similar in concept, vastly different in scale and execution
Has this been tried on something like a cityscape?
If so, it seems like you could fly a drone with two cameras at relatively low altitude and get insane resolution for things like cityscapes at a pretty low cost
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EDIT: Meant to add that your webpage discussion was great & thanks for sharing!
I also provide instructions in my (free and open source!) masterclass on how to take LIDAR data from cities and build 3D surface models that includes buildings:
Most "satellite view" imagery of cities is actually done with planes and drones. I just looked up a 3D model of my house in Apple Maps and can see stuff with a few centimeter resolution, which is much higher than any satellite can do.
this is super cool. i think we should do this in tiles and after that assemble a map of all of the US. The Sattelite data seems to be there, it's just time to download, build + stich, right?
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[ 5.4 ms ] story [ 73.1 ms ] threadGithub: https://www.github.com/tylermorganwall/rayshader
And browse the documentation (with rendered examples) and README on its website: https://www.rayshader.com
https://github.com/hypertidy/ceramic
- OpenTopography (also has 3DEP/LIDAR data): https://portal.opentopography.org/datasetMetadata?otCollecti...
- SRTM 30M tile tool: https://dwtkns.com/srtm30m/
https://www.mapzen.com/blog/terrain-tile-service/
https://registry.opendata.aws/terrain-tiles/
[0]: https://github.com/tilezen/joerd/blob/master/docs/formats.md...
[1]: https://s3.amazonaws.com/elevation-tiles-prod/terrarium/{z}/...
[2]: https://nst-guide.github.io/osm-liberty-topo/
https://github.com/domlysz/BlenderGIS/blob/master/README.md
I also second the "rite of passage to fight with GDAL" sentiment :)
I'd also recommend Robert Simmon's introduction to GDAL for stitching, etc: http://www.openvisconf.com/2017/#rsimmon-video-item
And that video looks like a great resource--I'll put it on my watch list.
[0]: https://github.com/SymbolixAU/mapdeck [1]: https://deck.gl/#/documentation/deckgl-api-reference/layers/...
Maybe title should be "making 3d maps with satellite imagery and 3d maps" ;)
I was searching around and found something noting they won a contract to build the Army's One World Terrain 3d model. This OWT appears to be some kind of classification for applying sat imagery over terrain data sets, maybe?
[1] https://www.vricon.com
One thing also for readers is that https://dwtkns.com/srtm30m requires an account with https://urs.earthdata.nasa.gov to download tiles.
If so, it seems like you could fly a drone with two cameras at relatively low altitude and get insane resolution for things like cityscapes at a pretty low cost
====== EDIT: Meant to add that your webpage discussion was great & thanks for sharing!
https://www.opendronemap.org
I also provide instructions in my (free and open source!) masterclass on how to take LIDAR data from cities and build 3D surface models that includes buildings:
Github Course Materials:
https://github.com/tylermorganwall/MusaMasterclass