d4c-datapkg-orthoimagery

Look through our d4c-datapkg-orthoimagery repo for the datasets that are currently being processed and datasets being acquired.

Download and Preview

Here is a table of some of the datasets created from the current process.

Place	ISO	Year	Provider	Dataset ID & Preview	PMTiles
Canada	CA	2025	Versatiles	ca_versatiles-2021A000011124_d4c-datapkg-orthoimagery_2025-08-10	Download
Canada	CA	2020	NRCan	ca_nrcan-2021A000011124_d4c-datapkg-orthoimagery_2020_30m_v0.1.0-beta	Download
Edmonton	CA-AB	2023	Edmonton	ca-ab_edmonton-2023A00054811061_d4c-datapkg-orthoimagery_2023_075mm_v0.1.0-beta	Download
Red Deer	CA-AB	2024	Red Deer	ca-ab_red-deer-2024A00054808011_d4c-datapkg-orthoimagery_2024_075mm_v0.1.0-beta	Download
Red Deer	CA-AB	2025	Red Deer	ca-ab_red-deer-2025A00054808011_d4c-datapkg-orthoimagery_2025_075mm_v0.1.0-beta	Download
Burnaby	CA-BC	2020	Burnaby	ca-bc_burnaby-2020A00055915025_d4c-datapkg-orthoimagery_2020_075mm_v0.1.0-beta	Download
Vancouver	CA-BC	2022	Vancouver	ca-bc_vancouver-2022A00055915022_d4c-datapkg-orthoimagery_2022_075mm_v0.1.0-beta	Download
Winnipeg	CA-MB	2024	Winnipeg	ca-mb_winnipeg-2024A00054611040_d4c-datapkg-orthoimagery_2024_075mm_v0.1.0-beta	Download
Whitehorse	CA-YT	2019	Whitehorse	ca-yt_whitehorse-2019A000556001009_d4c-datapkg-orthoimagery_2019_200mm_v0.1.0-beta	Download
Ontario	CA-ON	2024	Province of Ontario	ca-on_province_of_ontario-2024A000235_drape_eastern_ontario_orthoimagery_2024_16cm_v0.1.0-beta	Download
Quebec	CA-QC	Multiple Years	Government and Municipalities of Quebec	ca-qc_government_and_municipalities_of_quebec-2026A000224_d4c-datapkg-orthoimagery_orthorectified_imagery_from_quebec	Coming Soon

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. We are currently evaluating open alternatives, such as Cloud Optimized GeoTIFFs, while ensuring that the conversion process preserves full visual fidelity. Future iterations will also explore the integration of multispectral data.