Oliver Wipfli

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One reason we switched to the AWS mac minis is that they were apple silicon while the github mac were intel. Does github have apple silicon now (m1, m2, etc..)?

I am curious to see how sieve will perform. My worry is that if islands of forest for example get too small, the result will not show any forest even...

Very badly explained and documented, but I was playing a bit around with using h3 to downsample high-resolution raster landcover data to low resolution vector tiles using H3 cells. ![image](https://user-images.githubusercontent.com/53421382/231574697-7c0f0ad9-ea09-43ec-99df-ef58abc15902.png)...

Let me download that file...

The lulc file looks like an amazing dataset with super high resolution (I think 10m per pixel). So this can effectively be used to show forests and even rivers on...

Maybe we need to combine landcover with climate zone data... https://zenodo.org/record/7324909#.ZFKLDtJBzOE

The Sentinel-2 dataset has these classes (https://www.arcgis.com/home/item.html?id=fc92d38533d440078f17678ebc20e8e2): ## 1. Water Areas where water was predominantly present throughout the year; may not cover areas with sporadic or ephemeral water; contains little...

Köppen climate classification seems to be the right key-word. Here is a 1 km resolution sample: https://www.gloh2o.org/koppen/ ![image](https://user-images.githubusercontent.com/53421382/236246953-e2f7256e-c795-4373-9160-8a7740893f50.png)

I played around more with the Koppen dataset. Preparing a demo now, but the main insight was that it is good to filter the raster images with a median filter...

I wrote down some notes about some challenges of making a world landcover vector tileset: https://gist.github.com/wipfli/6386f21fa19af978dc9e1f136a754024 I hope one day we can get there...