tessera
CommunityDownload and sample TESSERA embeddings fast.
Data & Analytics#tessera#satellite embeddings#geospatial ml#parquet registry#zarr export#bbox download
Authorisaaccorley
Version1.0.0
Installs0
System Documentation
What problem does it solve?
TESSERA embedding workflows become slow and error-prone when you need to discover coverage, download only the required tiles, and turn them into point samples or dense raster mosaics for downstream geospatial ML.
Core Features & Use Cases
- Point sampling: sample embeddings at (lon, lat) locations to get an (N, 128) float32 array with NaNs for missing points, ideal for labeled site extraction and sparse classification.
- Dense mosaics: fetch mosaics for a bbox to get a (H, W, 128) float32 array for wall-to-wall raster analysis like spatial clustering or land cover classification.
- Multi-language + output formats: use the geotessera CLI, Python, or R, and export to GeoTIFF, NPY, or Zarr with configurable bands and cache/registry behavior.
Quick Start
Use this skill to sample TESSERA embeddings at a list of longitude/latitude points with the geotessera Python library for a specified year.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: tessera Download link: https://github.com/isaaccorley/geospatial-skills/archive/main.zip#tessera Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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