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 page

Browse Source
This commit is contained in:
Diego Ripley
2026-02-06 20:03:42 -05:00
parent 3cd535e6bb
commit eccb769e8d
1 changed files with 12 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files
content/docs/processes/field_imagery.md
+12 -8
View File
@@ -3,14 +3,16 @@ title: 📸 Field Imagery
weight: 4
---
### The Mission
## The Mission
Commercial street-level imagery is often locked behind restrictive licenses, proprietary viewers, and paywalls, making it inaccessible for researchers, urban planners, and the general public. We are building a sovereign, open-source alternative for Canada.
By self-hosting a **[Panoramax](https://panoramax.fr/)** instance, we provide a decentralized platform where field imagery is treated as a public utility: fully downloadable, API-accessible, and privacy-compliant.
---
### The Infrastructure
## The Infrastructure
Our field imagery pipeline is built on the **Panoramax** ecosystem, a federated open-source alternative to Google Street View. Instead of relying on centralized corporate servers, we operate a sovereign instance that guarantees data permanence and open access.
* **Platform**: Self-hosted Panoramax instance running on our internal infrastructure.
@@ -19,17 +21,19 @@ Our field imagery pipeline is built on the **Panoramax** ecosystem, a federated
---
### The Processing Pipeline
## The Processing Pipeline
We treat field imagery as a data engineering challenge, ensuring "time-to-insight" is minimized for downstream users.
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.
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.
---
### Data Products
## Data Products
Unlike commercial platforms that only offer a "view" of the data, we provide the **data itself**.
* **API Access**: Full programmatic access via the Panoramax REST API for querying imagery by location, date, or sequence.