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@@ -5,17 +5,67 @@ weight: 3
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I briefly worked on collecting orthoimagery a couple of years ago. It started from [this](https://github.com/diegoripley/canada-orthoimagery). Current data processing pipeline is being defined, but you can preview some of the datasets from the process.
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Here is a table of some of the resulting datasets.
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## Development Environment
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While a key goal is to utilize open source as much as possible, We utilize the proprietary software [MapTiler Engine Pro](https://www.maptiler.com/engine/pricing) as it is superior to current open source solutions. A limitation is that we are limited to 8 CPU cores for rendering of the map tiles.
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## Specifications of Tile Packages
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The specifications for the tile packages are defined in this code.
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```bash
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#!/bin/bash
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PROJECT_DIR="~/Documents/Personal/Projects/dataforcanada-orthoimagery"
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DATASET_ID="ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm"
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DATA_DIR="${PROJECT_DIR}/data"
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DATA_INPUT_DIR="${DATA_DIR}/input/${DATASET_ID}"
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DATA_OUTPUT_DIR="${DATA_DIR}/output/${DATASET_ID}"
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MBTILES_OUTPUT_FILE="${DATA_OUTPUT_DIR}/${DATASET_ID}.mbtiles"
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PMTILES_OUTPUT_FILE="${DATA_OUTPUT_DIR}/${DATASET_ID}.pmtiles"
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# Define arguments in an array
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ARGS=(
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-progress
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-name "City of Winnipeg Orthoimagery for 2024 / Ortho-imagerie de la Ville de Winnipeg de 2024"
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-description "Orthoimagery 7.5cm resolution. / Ortho-imagerie à résolution de 7,5 cm."
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-attribution "Source: data.winnipeg.ca / Source: data.winnipeg.ca"
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-srs_epsg
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-mbtiles_compatible
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-wo "NUM_THREADS=ALL_CPUS"
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-wo "USE_OPENCL=TRUE"
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-sparse
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-scale 2.000000
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-work_dir ~/tmp/maptiler_engine
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-f webp32
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-webp_quality 85
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-webp_lossy
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-webp_preset photo
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-resampling cubic
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-overviews_resampling average
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-o "${MBTILES_OUTPUT_FILE}"
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$DATA_INPUT_DIR/*.ecw
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)
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# Run the command with the array
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maptiler-engine "${ARGS[@]}"
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pmtiles convert --tmpdir=~/tmp/pmtiles ${MBTILES_OUTPUT_FILE} ${PMTILES_OUTPUT_FILE}
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```
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## Download and Preview
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Here is a table of some of the datasets created from the current process.
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| Place | ISO | Province | Year | Provider | Dataset ID / Preview | PMTiles | TileJSON |
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|------------|-----|----------|------|------------|------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|
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| Canada | CA | | 2020 | NRCan | [ca_nrcan_land_cover_2020_30m](https://data-01.dev.dataforcanada.org/processed/ca_nrcan_land_cover_2020_30m.html) | https://data-01.dev.dataforcanada.org/processed/ca_nrcan_land_cover_2020_30m.pmtiles | https://tiles-01.dev.dataforcanada.org/processed/ca_nrcan_land_cover_2020_30m.json |
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| Edmonton | CA | AB | 2023 | Edmonton | [ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm](https://data-01.dev.dataforcanada.org/processed/ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm.html) | https://data-01.dev.dataforcanada.org/processed/ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm.pmtiles | https://tiles-01.dev.dataforcanada.org/processed/ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm.json |
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| Red Deer | CA | AB | 2024 | Red Deer | [ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm](https://data-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm.html) | https://data-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm.pmtiles | https://tiles-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm.json |
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| Vancouver | CA | BC | 2022 | Vancouver | [ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm](https://data-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2025A00054808011_orthoimagery_2025_075mm.html) | https://data-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.pmtiles | https://tiles-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.json |
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| Whitehorse | CA | YK | 2019 | Whitehorse | [ca-yt_whitehorse-2019A000556001009_orthoimagery_2019_200mm](https://data-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.html) | https://data-01.dev.dataforcanada.org/processed/ca-yt_whitehorse-2019A000556001009_orthoimagery_2019_200mm.pmtiles | https://tiles-01.dev.dataforcanada.org/processed/ca-yt_whitehorse-2019A000556001009_orthoimagery_2019_200mm.json |
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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) | https://data-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.pmtiles | https://tiles-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.json |
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| Canada | CA | | 2020 | NRCan | [ca_nrcan_land_cover_2020_30m](https://data-01.dev.dataforcanada.org/processed/ca_nrcan_land_cover_2020_30m.html) | <https://data-01.dev.dataforcanada.org/processed/ca_nrcan_land_cover_2020_30m.pmtiles> | <https://tiles-01.dev.dataforcanada.org/processed/ca_nrcan_land_cover_2020_30m.json> |
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| Edmonton | CA | AB | 2023 | Edmonton | [ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm](https://data-01.dev.dataforcanada.org/processed/ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm.html) | <https://data-01.dev.dataforcanada.org/processed/ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm.pmtiles> | <https://tiles-01.dev.dataforcanada.org/processed/ca-ab_edmonton-2023A00054811061_orthoimagery_2023_075mm.json> |
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| Red Deer | CA | AB | 2024 | Red Deer | [ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm](https://data-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm.html) | <https://data-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm.pmtiles> | <https://tiles-01.dev.dataforcanada.org/processed/ca-ab_red_deer-2024A00054808011_orthoimagery_2024_075mm.json> |
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| Vancouver | CA | BC | 2022 | Vancouver | [ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm](https://data-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.html) | <https://data-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.pmtiles> | <https://tiles-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.json> |
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| Whitehorse | CA | YK | 2019 | Whitehorse | [ca-yt_whitehorse-2019A000556001009_orthoimagery_2019_200mm](https://data-01.dev.dataforcanada.org/processed/ca-bc_vancouver-2022A00055915022_orthoimagery_2022_075mm.html) | <https://data-01.dev.dataforcanada.org/processed/ca-yt_whitehorse-2019A000556001009_orthoimagery_2019_200mm.pmtiles> | <https://tiles-01.dev.dataforcanada.org/processed/ca-yt_whitehorse-2019A000556001009_orthoimagery_2019_200mm.json> |
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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) | <https://data-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.pmtiles> | <https://tiles-01.dev.dataforcanada.org/processed/ca-mb_winnipeg-2024A00054611040_orthoimagery_2024_075mm.json> |
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## The Plan
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# The Plan
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The plan is to include the original dataset, for example, the orthoimagery files from [Vancouver](https://opendata.vancouver.ca/explore/dataset/orthophoto-imagery-2022/information/) are provided in MrSID and ECW file formats, which are proprietary and require special drivers being used. I am looking into using formats such as [Cloud Optimized GeoTIFFs](https://cogeo.org/), but I have to make sure that there is no degradation of visual quality in the process. I hope to experiment with multispectral data in the future.
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