terrain-hydrology
Always invoke for terrain, drainage, viewshed, or visibility analysis from elevation, even before the DEM or correct surface is chosen. Covers DTM-versus-DSM selection, slope, aspect, curvature, hillshade, conditioning, flow direction/accumulation, streams, watersheds, and catchments. Use point-cloud-lidar first only when an elevation surface must be created from LiDAR or photogrammetric points.
Install
With your agent
Install OMGSkills skill "muend/geoai-skills:skills/terrain-hydrology" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/muend/geoai-skills /tmp/geoai-skills && ln -s /tmp/geoai-skills/skills/terrain-hydrology ~/.claude/skills/terrain-hydrologyFrom README
Terrain & Hydrology Purpose: terrain products whose numbers are physically meaningful. The two recurring failure modes: unit mismatch (degree coordinates with meter elevations silently corrupts every derivative) and unconditioned DEMs (flow routed into spurious pits produces fragmented, fictional streams). DEM hygiene first | Check | Rule | |---|---| | Surface type | DTM (bare earth) for hydrology/slope; DSM (with canopy/buildings) for viewshed/solar. Using a DSM for watersheds routes rivers over treetops. | | Source | Copernicus GLO-30 > SRTM for most global work; national LiDAR DTMs when available (see point-cloud-lidar to make your own). Record source + acquisition date. | | Nodata | Identify the nodata value (-9999, -32768, 3.4e38) and mask it — never let it enter statistics or fill algorithms as "very deep hole". | | Voids | Fill data voids (interpolation from edges) BEFORE hydrological conditioning; document filled areas.
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