Clean-up field imagery process page

content/docs/processes/field_imagery.md

@@ -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.
 
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 ## 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. 
@@ -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.
 * **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
 
 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.
 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
 
 Unlike commercial platforms that only offer a "view" of the data, we provide the **data itself**.