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Update orthoimagery process content

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Diego Ripley
2026-01-29 20:23:37 -05:00
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content/docs/processes/orthoimagery.md
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---
This project builds upon [previous work collecting Canadian orthoimagery](https://github.com/diegoripley/canada-orthoimagery). While the data processing workflow is still under development, you can [preview sample datasets](#download-and-preview) below.
Look through our [process-orthoimagery-dev](https://github.com/dataforcanada/process-orthoimagery-dev) repo for the datasets processed. There is still lots of work to do to make it ready for systems. While the data processing workflow is still under development, you can [preview sample datasets](#download-and-preview) below.
## Development Environment
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| Winnipeg | CA | MB | 2024 | Winnipeg | [ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm](https://data-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.html) | [Download](https://data-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.pmtiles) | [TileJSON](https://tiles-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.json) | [Download](https://data-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.pmtiles.torrent) |
## The Plan
The objective is to standardize the source datasets used by Data for Canada processes. For instance, Vancouver’s orthoimagery is currently distributed in proprietary formats (MrSID and ECW) that require specialized drivers. I am currently evaluating open alternatives, such as [Cloud Optimized GeoTIFFs](https://cogeo.org/), while ensuring that the conversion process preserves full visual fidelity. Future iterations will also explore the integration of multispectral data.
The objective is to standardize the source datasets used by Data for Canada processes. For instance, Vancouver’s orthoimagery is currently distributed in proprietary formats (MrSID and ECW) that require specialized drivers. I am currently evaluating open alternatives, such as [Cloud Optimized GeoTIFFs](https://cogeo.org/), while ensuring that the conversion process preserves full visual fidelity. Future iterations will also explore the integration of multispectral data.