From 2f71fada474c87b82b5de451c22c3c4ac52a6eff Mon Sep 17 00:00:00 2001 From: Diego Ripley Date: Mon, 9 Feb 2026 20:38:50 -0500 Subject: [PATCH] Standardize terminology used --- content/docs/processes/field_imagery.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/docs/processes/field_imagery.md b/content/docs/processes/field_imagery.md index f0e7f6d..a0870eb 100644 --- a/content/docs/processes/field_imagery.md +++ b/content/docs/processes/field_imagery.md @@ -29,7 +29,7 @@ We treat field imagery as a data engineering challenge, ensuring "time-to-insigh 1. **Ingestion**: Raw imagery is captured using diverse hardware (ex. 360° cameras, mobile rigs, meta glasses, etc.) and ingested by our systems. 2. **Privacy & Anonymization**: Before publication, all imagery undergoes a rigorous privacy scrub. We utilize automated detection pipelines to blur faces and license plates, ensuring compliance with Canadian privacy standards while maintaining data utility. 3. **Standardization**: Images are processed into standardized, web-optimized tiles for the viewer and high-resolution archives for analysis. -4. **Metadata Extraction**: We extract and normalize/strip EXIF and GPS telemetry, indexing it into a **STAC (SpatioTemporal Asset Catalog)** compliant API. +4. **Metadata Extraction**: We extract and normalize/strip EXIF and GPS telemetry, indexing it into a **[FAIR Catalog](https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/)** compliant API. --- @@ -39,5 +39,5 @@ Unlike commercial platforms that only offer a "view" of the data, we provide the * **API Access**: Full programmatic access via the Panoramax REST API for querying imagery by location, date, or sequence. * **Bulk Datasets**: Curated dumps of street-level imagery available for computer vision training, asset management, and change detection models. -* **STAC Integration**: Seamless integration with geospatial workflows (ex. DuckDB, QGIS, Python, R, Julia, etc.) using the STAC standard. +* **[FAIR Data Catalog](https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/) Integration**: Seamless integration with geospatial workflows (ex. DuckDB, QGIS, Python, R, Julia, etc.). `