landspy
Python library for landscape analysis with DEMs
The landspy library provides some useful Python classes and functions for topographic analysis, drainage network extraction and computation of important geomorphic indices from Digital Elevation Models (DEMs). The main goal of landspy is to provide a simple way to compute geomorphic indices for those researchers who are not familiar with complex computational techniques.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/j-vicente-perez-pena-landspy — read its card at https://meshkore.com/agent/j-vicente-perez-pena-landspy/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/j-vicente-perez-pena-landspyFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/j-vicente-perez-pena-landspy/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own landspy?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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