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blacha | 2 years ago
Using maplibre (or any map viewer) you can load blobs of image data out of a tiff and use `Image` or `Canvas` to render the data onto a map.
Its even easier if the tiffs are already Cloud optimized as they perfectly align to a 1-to-1 map tile and they don't need to be rescaled, you can then just render the images onto the map. eg here is a viewer that loads webps out of a 15GB tiff and uses Canvas to render them onto a map [1]
Unless you are trying to layer all your maps together, you also could stop reprojecting them into webmercator, or if your goal is to layer them, then storing them in webmercator would save a ton of user's compute time.
There are a bunch of us that talk web maping and imagery in the #maplibre and #imagery slack channels in OSMUS's slack [2]
[1] https://blayne.chard.com/cogeotiff-web/index.html?view=cog&i...
[2] https://github.com/maplibre/maplibre-gl-js#getting-involved
Soupy|2 years ago
Re the webmercator reprojection - yea it's gnarly that I'm doing it clientside but it's exactly because I'm working towards the ability to layer them interactively on top of eachother (as well as on various basemaps). My projection code is also only half-working at the moment and it's where I'm currently spending my time next week. I'm trying to avoid building pipelines to re-encode the geotiffs as long as I can since there's 10+TB of them in my backend so this is why you're seeing me doing this clientside instead. This is a solo project so I need to be really picky where I spend my time so I can keep moving the ball forward
I'll join those 2 communities, thank you! Been crazy hard to find folks who are deep in this stuff so most of my learning has been through endless googling down deep dark corners of the web for the past 2 months
tppiotrowski|2 years ago
But maybe the sample gist takes a Tiff blob and encodes it to a PNG on the client and then maplibre decodes the PNG to canvas. That would be quite inefficient if that's what it's doing.
blacha|2 years ago
For elevation data, we store our DEM/DSM in S3 as LERC [1] COGS, LERC has a WASM bundle which I think can be used in the browser. We found LERC COGs to be one of the most space efficient ways of storing highresolution DEM/DSM data [2], If you wanted to you could fetch LERC tiles directly out of a remote COG and use that directly for the terrain heights.
I am more focused on storage/archiving/publishing of our LiDAR capture program [3] than web based visualizations of it though, so I am unsure if a LERC COG would even be better for you than a PNG TerrainRGB.
[1] https://www.npmjs.com/package/lerc
[2] https://github.com/linz/elevation/tree/master/docs/tiff-comp...
[3] https://linz.maps.arcgis.com/apps/MapSeries/index.html?appid...