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There is good free data available. Consider using EASA Sentinel satellite tiles for the imagery, and JAXA's ALOS Global Digital Surface Model for elevation. And

There is good free data available. Consider using EASA Sentinel satellite tiles for the imagery, and JAXA's ALOS Global Digital Surface Model for elevation. And the USGS has higher-resolution lidar elevations in much of the US.

jheising 2mo ago
I will look into this, thanks! In the meantime I'm going to implement a fallback to 2D tiles which has much higher quota limits. Try to stop the bleeding first.
- gavinsyancey 2mo ago
  Probably your best bet -- EASA has worldwide cloudless imagery [1] (scroll down for a link to their tile server) as well as a worldwide high-resolution elevation model [2] [1] https://dataspace.copernicus.eu/news/2024-2-27-exploring-new-frontier-sentinel-cloudless-mosaics-copernicus-data-space-ecosystem https://dataspace.copernicus.eu/news/2024-2-27-exploring-new... [2] https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Data/DEM.html https://documentation.dataspace.copernicus.eu/APIs/SentinelH...
codetiger 2mo ago
I built a terrain height map completely from free data. https://codetiger.in/earth/ https://codetiger.in/earth/
- dotancohen 2mo ago
  This is really nice. It's _almost_ useful for identifying features from where one stands, if it had another three levels of zoom and another three levels of voxel resolution.
  - codetiger 2mo ago
    I tried adding more resolutions, but had to balance it against cost of hosting. Each resolution is at least 2x the size of the combined all prev zoom level data. Currently I’ve 9 zoom levels total size 15gb, adding 1 more level takes it to 32gb but looks beautiful. With the current open data, I can generate upto 14 levels
    - dotancohen 2mo ago
      Yeah, that's a pretty classic tradeoff. Thanks for hosting what you do!
      - codetiger 2mo ago
        Just in case you are interested, you can recreate this locally using the open source repo. The script downloads the open data and generate the voxels based on configuration. The max resolution is configured which you can increase. Just a few prompts and you can recreate high resolution upto 10m resolution in real world distance. :)
        dotancohen 2mo ago
        Thanks, I might do that. If so, I'll PR a config option. Thank you!
- deleted 2mo ago
  [deleted]
globular-toast 2mo ago
Europe LiDAR data: https://sonny.4lima.de/ https://sonny.4lima.de/
adamcharnock 2mo ago
It's somewhat old, but NASA has its SRTM height-map dataset. I wrote a project for reading this in Python many moons ago, in case it is of help to anyone: https://github.com/adamcharnock/python-srtm https://github.com/adamcharnock/python-srtm I originally used it for doing line-of-sight calculations for a wireless ISP I started.

jheising 2mo ago

I will look into this, thanks! In the meantime I'm going to implement a fallback to 2D tiles which has much higher quota limits. Try to stop the bleeding first.

gavinsyancey 2mo ago
Probably your best bet -- EASA has worldwide cloudless imagery [1] (scroll down for a link to their tile server) as well as a worldwide high-resolution elevation model [2] [1] https://dataspace.copernicus.eu/news/2024-2-27-exploring-new-frontier-sentinel-cloudless-mosaics-copernicus-data-space-ecosystem https://dataspace.copernicus.eu/news/2024-2-27-exploring-new... [2] https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Data/DEM.html https://documentation.dataspace.copernicus.eu/APIs/SentinelH...

codetiger 2mo ago

I built a terrain height map completely from free data. https://codetiger.in/earth/ https://codetiger.in/earth/

dotancohen 2mo ago
This is really nice. It's _almost_ useful for identifying features from where one stands, if it had another three levels of zoom and another three levels of voxel resolution.
- codetiger 2mo ago
  I tried adding more resolutions, but had to balance it against cost of hosting. Each resolution is at least 2x the size of the combined all prev zoom level data. Currently I’ve 9 zoom levels total size 15gb, adding 1 more level takes it to 32gb but looks beautiful. With the current open data, I can generate upto 14 levels
  - dotancohen 2mo ago
    Yeah, that's a pretty classic tradeoff. Thanks for hosting what you do!
    - codetiger 2mo ago
      Just in case you are interested, you can recreate this locally using the open source repo. The script downloads the open data and generate the voxels based on configuration. The max resolution is configured which you can increase. Just a few prompts and you can recreate high resolution upto 10m resolution in real world distance. :)
      - dotancohen 2mo ago
        Thanks, I might do that. If so, I'll PR a config option. Thank you!
deleted 2mo ago
[deleted]

globular-toast 2mo ago

Europe LiDAR data: https://sonny.4lima.de/ https://sonny.4lima.de/

adamcharnock 2mo ago

It's somewhat old, but NASA has its SRTM height-map dataset. I wrote a project for reading this in Python many moons ago, in case it is of help to anyone: https://github.com/adamcharnock/python-srtm https://github.com/adamcharnock/python-srtm I originally used it for doing line-of-sight calculations for a wireless ISP I started.