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Clean-up field imagery process page

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Diego Ripley
2026-02-11 14:26:03 -05:00
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content/docs/processes/field_imagery.md
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@@ -10,8 +10,6 @@ Commercial street-level imagery is often locked behind restrictive licenses, pro
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. 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.
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## The Infrastructure ## The Infrastructure
Our field imagery pipeline is built on the **Panoramax** ecosystem, a federated open-source alternative to Google Street View that guarantees data permanence and open access. Our field imagery pipeline is built on the **Panoramax** ecosystem, a federated open-source alternative to Google Street View that guarantees data permanence and open access.
@@ -19,8 +17,6 @@ Our field imagery pipeline is built on the **Panoramax** ecosystem, a federated
* **Storage**: High-performance object storage backend for hosting terabytes of 360° and flat field imagery. * **Storage**: High-performance object storage backend for hosting terabytes of 360° and flat field imagery.
* **Federation**: Our instance connects to the global Panoramax federation, ensuring that while the data is hosted in Canada, it is discoverable worldwide through the global panoramax catalog. * **Federation**: Our instance connects to the global Panoramax federation, ensuring that while the data is hosted in Canada, it is discoverable worldwide through the global panoramax catalog.
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## The Processing Pipeline ## The Processing Pipeline
We treat field imagery as a data engineering challenge, ensuring "time-to-insight" is minimized for downstream users. We treat field imagery as a data engineering challenge, ensuring "time-to-insight" is minimized for downstream users.
@@ -30,8 +26,6 @@ We treat field imagery as a data engineering challenge, ensuring "time-to-insigh
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 Catalog](https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/)**.
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## Data Products ## Data Products
Unlike commercial platforms that only offer a "view" of the data, we provide the **data itself**. Unlike commercial platforms that only offer a "view" of the data, we provide the **data itself**.