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Quarto GHA Workflow Runner committed Nov 17, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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18 changes: 9 additions & 9 deletions index.html
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Expand Up @@ -206,7 +206,7 @@ <h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-list

<div class="quarto-listing quarto-listing-container-default" id="listing-listing">
<div class="list quarto-listing-default">
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<div class="quarto-post image-right" data-index="0" data-categories="fwapg,r,bcdata" data-listing-date-sort="1731628800000" data-listing-file-modified-sort="1731876388095" data-listing-date-modified-sort="1731715200000" data-listing-reading-time-sort="15" data-listing-word-count-sort="2825">
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<p><img loading="lazy" src="./posts/2024-11-15-bcdata-ortho-historic/image.jpg" class="thumbnail-image"></p>
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</a>
</div>
</div>
<div class="quarto-post image-right" data-index="1" data-categories="aws,s3,r,paws,s3sf,leaflet,leafem,COG,CORS" data-listing-date-sort="1726876800000" data-listing-file-modified-sort="1731875656159" data-listing-date-modified-sort="1726876800000" data-listing-reading-time-sort="4" data-listing-word-count-sort="784">
<div class="quarto-post image-right" data-index="1" data-categories="aws,s3,r,paws,s3sf,leaflet,leafem,COG,CORS" data-listing-date-sort="1726876800000" data-listing-file-modified-sort="1731876388075" data-listing-date-modified-sort="1726876800000" data-listing-reading-time-sort="4" data-listing-word-count-sort="784">
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<p><a href="./posts/2024-09-21-aws-cors-cog-leaflet/index.html" class="no-external"></a></p><a href="./posts/2024-09-21-aws-cors-cog-leaflet/index.html" class="no-external">
<p><img loading="lazy" src="./posts/2024-09-21-aws-cors-cog-leaflet/image.jpg" class="thumbnail-image"></p>
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</a>
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</div>
<div class="quarto-post image-right" data-index="2" data-categories="land cover,R,planetary computer,remote sensing" data-listing-date-sort="1719792000000" data-listing-file-modified-sort="1731875656147" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="18" data-listing-word-count-sort="3447">
<div class="quarto-post image-right" data-index="2" data-categories="land cover,R,planetary computer,remote sensing" data-listing-date-sort="1719792000000" data-listing-file-modified-sort="1731876388063" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="18" data-listing-word-count-sort="3447">
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<div class="quarto-post image-right" data-index="3" data-categories="precipitation,R,drought,rayshader" data-listing-date-sort="1718755200000" data-listing-file-modified-sort="1731875656135" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="17" data-listing-word-count-sort="3300">
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<div class="quarto-post image-right" data-index="5" data-categories="aws,s3,r,paws" data-listing-date-sort="1716508800000" data-listing-file-modified-sort="1731875656179" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="8" data-listing-word-count-sort="1523">
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<div class="quarto-post image-right" data-index="6" data-categories="aws,s3,r,paws,processx" data-listing-date-sort="1716422400000" data-listing-file-modified-sort="1731875656179" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="6" data-listing-word-count-sort="1189">
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<p class="card-img-top"><img src="posts/snakecase/thumbnail.jpg" class="thumbnail-image card-img"/></p>
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8 changes: 4 additions & 4 deletions posts/2024-11-15-bcdata-ortho-historic/index.html
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4 changes: 2 additions & 2 deletions search.json
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"href": "posts/2024-11-15-bcdata-ortho-historic/index.html#download-photo-information",
"title": "Getting details of historic orthophoto imagery with R",
"section": "Download Photo Information",
"text": "Download Photo Information\nNext, we go into the provincial WIMSIN (getting that abbreviation wrong but it is close and the link works) service and for each NTS 1:50,000 grid - we state the date range we would like to search and export. Thinking we may be able to hit the API directly with a query in the future which would eliminate the painful point and click portion of this workflow. For now though - we are doing this piece manually and chose the following options:\n\nYears from: 1963 to 1980\nMedia: Black and White - Film\nOnly show georeferenced images: - No\n\nRunning these options exports a csv for each query. We saved them in this repo with their original sane names airphotos.{mapsheet}.csv.\n\n\nCode\nknitr::include_graphics(fs::path(\n path_post,\n \"fig\",\n \"Screenshot1\",\n ext = \"png\"\n )\n)\n\n\n\n\n\n\n\n\n\nAt this point we have downloaded two csvs (one for each NTS 1:50,000 mapsheet of course) with information about the airphotos including UTM coordinates that we will assume for now are the photo centres. In our next steps we read in what we have, turn into spatial object, trim to overall study area and plot.\n\n\nCode\n# list csvs\nls &lt;- fs::dir_ls(\n fs::path(\n path_post,\n \"data\"),\n glob = \"*.csv\"\n)\n\nphotos_raw &lt;- ls |&gt; \n purrr::map_df(\n readr::read_csv\n ) |&gt; \n sf::st_as_sf(\n coords = c(\"Longitude\", \"Latitude\"), crs = 4326\n ) |&gt; \n janitor::clean_names() |&gt; \n dplyr::mutate(photo_date = lubridate::mdy(photo_date)) \n\n\nphotos_aoi &lt;- sf::st_intersection(\n photos_raw, \n layers_trimmed$aoi |&gt; st_make_valid()\n )\n\n\n\n\nCode\nmap +\n geom_sf(\n data = photos_aoi,\n alpha = 0.25,\n ) \n\n\n\n\n\n\n\n\n\nCode\n # geom_sf_text(\n # data = photos_aoi,\n # aes(\n # label = \n # paste(\n # # roll_frame_series,\n # frame,\n # sep = \"-\"\n # )\n # ),\n # size = 2 # Adjust size of the text labels as needed\n # )\n\n\nThat is a lot of photos! 849 photos to be exact!!!\n\n\nCode\nq_buffer &lt;- 1000\nq_drm_main &lt;- 263795\nq_drm_other &lt;- 5000"
"text": "Download Photo Information\nNext, we go into the provincial WIMSI service and for each NTS 1:50,000 grid - we state the date range we would like to search and export. Thinking we may be able to hit the API directly with a query in the future which would eliminate the painful point and click portion of this workflow. For now though - we are doing this piece manually and chose the following options:\n\nYears from: 1963 to 1980\nMedia: Black and White - Film\nOnly show georeferenced images: - No\n\nRunning these options exports a csv for each query. We saved them in this repo with their original sane names airphotos.{mapsheet}.csv.\n\n\nCode\nknitr::include_graphics(fs::path(\n path_post,\n \"fig\",\n \"Screenshot1\",\n ext = \"png\"\n )\n)\n\n\n\n\n\n\n\n\n\nAt this point we have downloaded two csvs (one for each NTS 1:50,000 mapsheet of course) with information about the airphotos including UTM coordinates that we will assume for now are the photo centres. In our next steps we read in what we have, turn into spatial object, trim to overall study area and plot.\n\n\nCode\n# list csvs\nls &lt;- fs::dir_ls(\n fs::path(\n path_post,\n \"data\"),\n glob = \"*.csv\"\n)\n\nphotos_raw &lt;- ls |&gt; \n purrr::map_df(\n readr::read_csv\n ) |&gt; \n sf::st_as_sf(\n coords = c(\"Longitude\", \"Latitude\"), crs = 4326\n ) |&gt; \n janitor::clean_names() |&gt; \n dplyr::mutate(photo_date = lubridate::mdy(photo_date)) \n\n\nphotos_aoi &lt;- sf::st_intersection(\n photos_raw, \n layers_trimmed$aoi |&gt; st_make_valid()\n )\n\n\n\n\nCode\nmap +\n geom_sf(\n data = photos_aoi,\n alpha = 0.25,\n ) \n\n\n\n\n\n\n\n\n\nCode\n # geom_sf_text(\n # data = photos_aoi,\n # aes(\n # label = \n # paste(\n # # roll_frame_series,\n # frame,\n # sep = \"-\"\n # )\n # ),\n # size = 2 # Adjust size of the text labels as needed\n # )\n\n\nThat is a lot of photos! 849 photos to be exact!!!\n\n\nCode\nq_buffer &lt;- 1000\nq_drm_main &lt;- 263795\nq_drm_other &lt;- 5000"
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"objectID": "posts/2024-11-15-bcdata-ortho-historic/index.html#clip-photo-information-with-streams-buffers",
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"href": "posts/2024-11-15-bcdata-ortho-historic/index.html#outstanding-issues",
"title": "Getting details of historic orthophoto imagery with R",
"section": "Outstanding Issues",
"text": "Outstanding Issues\nWhy does the date range of the photos we can get IDs for through the WIMSIN online portal not overlap the dates listed in the BC Data Catalouge Historic Imagery Points for the dates in the Historic Imagery Points that are listed as 1950 - 1963 vs our earliest records from the portal at 1968-05-09??!!"
"text": "Outstanding Issues\nWhy does the date range of the photos we can get IDs for through the WIMSI online portal not overlap the dates listed in the BC Data Catalouge Historic Imagery Points for the dates in the Historic Imagery Points that are listed as 1950 - 1963 vs our earliest records from the portal at 1968-05-09??!!"
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