Exploring more #Blender GIS possibilities: Doggerland sinking under the rising North Sea from ~12,000 to 7,000 years BP. Created using DEM + bathymetry rasters processed in R and textured in Blender. #b3d #30DayMapChallenge Day 20 – Water

The goal: recreate real landscapes in LEGO for a few wide shots in my upcoming brickfilm.
Instancing bricks is too heavy at scale, so I use simple textured geometry for terrain—building on techniques from my last animation, still experimenting with Geometry Nodes.
#b3d #blender

More renders from different locations. Tested national remote sensing data have a resolution of 0.5–2 m per pixel, enough for intermediate-scale visualizations (an alternative to Google Map Tiles).
#b3d #30DayMapChallenge Day 8 – Urban

During preproduction of my next animation, I explored integrating real environments with open satellite & DSM data.
Massive files led me to create a Python workflow, splitting the data into chunks to load into Blender: github.com/EnriqueFuste...
#b3d #30DayMapChallenge Day 8 – Urban

A few years ago I ran a small print-on-demand map shop.

Made a few sales and hundreds of maps—first by hand (Photoshop), then with #Mapbox + #Python (OpenCV & Pillow).
Focused more on craft than marketing, but learned a lot.

Yesterday felt like redemption: #30DayMapChallenge Day 3 – Polygons.