Examples Overview
This section provides practical examples of using GeoBrix for common geospatial workflows — end-to-end notebook series and app examples.
Notebook Series
End-to-end, runnable notebook walkthroughs. Each links to the notebook source on GitHub.
| Series | What it covers |
|---|---|
| EO Series | STAC discovery → band download → gridded (H3) raster tables → multi-band stacking, with Sentinel-2 over Alaska. |
| Clipping — xView | Load high-resolution aerial GeoTIFFs and clip rasters per labeled object from the xView dataset. |
| Wireless Coverage | LiDAR → tower siting over San Francisco: build DSM / TIN-DTM / CHM surfaces from a USGS 3DEP LiDAR point cloud, index them to H3, and rank candidate tower sites with distributed H3 line-of-sight viewsheds (h3_viewshed_towers) — as a notebook series and as a production Lakeflow Declarative Pipeline (SDP) bundle. |
| H3 Rasterize (DEM) | Convert polygon isobands (elevation contours) into a pixel-aligned, multi-band H3 raster stack. |
| Helios — Tiling to PMTiles | Four-notebook San Francisco series: vector, raster basemap, terrain scoring, and a sharded PMTiles mosaic. |
| Vapor-Eyes — Permian Methane | Screen a satellite methane signal over the Permian Basin down to the leaking operator. |
| Orthomosaic Photogrammetry | Build a georeferenced orthomosaic from a drone image dataset: exif_gbx telemetry extraction, GSD estimation, sparse SfM, orthomosaic GeoTIFF, COG conversion, and PMTiles packaging — capped off with an optional GeoSAM segmentation step (gbx.models) that turns the published orthomosaic into georeferenced object polygons, in-notebook or via a served GPU endpoint. |
Apps
| App | What it does |
|---|---|
| Genie Map | Databricks App (React + kepler.gl) that turns Vapor-Eyes methane gold data into an interactive map you can query by natural language. |