将 CopDEM、WorldPop、ESA WorldCover 等地理数据烘焙为 QTR5 四叉树瓦片，用于游戏、仿真与地图工具链。Bake global geospatial datasets into compact QTR5 binary tiles for games, simulation, and map tooling.
-
Updated
Jun 8, 2026 - Python
#
worldcover
Here are 3 public repositories matching this topic...
Lightweight global flood-risk screening MVP using weather, elevation, land cover, OpenStreetMap, Leaflet, and a transparent heuristic risk engine.
-
Updated
Aug 31, 2026 - Python
Dual-source uncertainty-propagated, CVaR risk-aware terrain path planner — Monte Carlo DEM + land-cover error propagation over real satellite data, ranking routes by tail risk instead of one deterministic shortest path. FastAPI + Next.js, deployed on Vercel.
risk-analysisnextjsmonte-carlogeospatialgispath-planningdigital-elevation-modelgeotiffa-starcopernicusuncertainty-quantificationrasterioterrain-analysisfastapicvarworldcover
-
Updated
Sep 3, 2026 - Python
Add this topic to your repo
To associate your repository with the worldcover topic, visit your repo's landing page and select "manage topics."