dataforcanada/d4c-service-main-site
1
0
Fork 0
mirror of https://github.com/dataforcanada/d4c-service-main-site.git synced 2026-06-13 14:00:51 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update field_imagery.md

Browse Source
This commit is contained in:
Diego Ripley
2026-02-17 20:26:22 -05:00
committed by GitHub
parent a425c6fe85
commit 3215343ffa
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
content/docs/processes/field_imagery.md
+2 -2
View File
@@ -24,7 +24,7 @@ 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. 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. 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 systems-ready formats, making it ready for analysis. 3. **Standardization**: Images are processed into systems-ready formats, making it ready for analysis.
4. **Metadata Extraction**: We extract and normalize/strip identifiying information (ex. EXIF and GPS telemetry), indexing it into a **[FAIR Catalog](https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/)**. 4. **Metadata Extraction**: We extract and normalize/strip identifiying information (ex. EXIF and GPS telemetry), indexing it into a **[FAIR Catalogue](https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/)**.
## Data Products ## Data Products
@@ -32,4 +32,4 @@ 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. * **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. * **Bulk Datasets**: Curated dumps of street-level imagery available for computer vision training, asset management, and change detection models.
* **[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.). * **[FAIR Data Catalogue](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.).