geospatial-patterns

What problem does it solve?

Geospatial data workflows are often brittle due to CRS inconsistencies, varying coordinate conventions, and format interop challenges. This skill provides patterns and best practices for working with rasterio, GDAL, geopandas, and common geospatial formats to ensure robust results across orthomosaic processing, DEM alignment, and vector data interoperability.

Core Features & Use Cases

• CRS validation and re-projection to ensure alignment between raster and vector datasets.
• Orthomosaic tiling and coordinate transformations to enable tile-based processing and accurate geographic queries.
• Export utilities to GeoJSON and KML for sharing results with stakeholders.
• Typical use cases include drone imagery alignment with vector boundaries for ecological mapping and habitat assessment.

Quick Start

Validate CRS for your raster and reproject vectors to match before performing any spatial operations.