stac_uav_bc

The goal of stac_uav_bc is to document and serve out our UAV collection for British Columbia. It is organized by watershed and can be queried by location using our API via the lovely rstac R package and QGIS (v3.42+). Still a work in progress (need to assign time data to allow API queries) but currently functioning at images.a11s.one. See below how to add STAC items to QGIS.

# bc bounding box
bcbbox <-  as.numeric(
  sf::st_bbox(bcmaps::bc_bound()) |> 
    sf::st_transform(crs = 4326)
)
# This a bounding box for the [Neexdzi Kwa](https://www.newgraphenvironment.com/restoration_wedzin_kwa_2024/) watershed (aka - the Upper Bulkley River near Houston BC) bbox = c(-126.77000, 54.08832, -125.88822, 54.68786)

# use rstac to query the collection
q <- rstac::stac("https://images.a11s.one/") |>
    rstac::stac_search(
      # collections = "imagery-uav-bc-dev",
      collections = "imagery-uav-bc-prod",
                      bbox = bcbbox
                      
                     ) |>
  rstac::post_request()

# get deets of the items
r <- q |>
  rstac::items_fetch()

saveRDS(r, "data/stac_result.rds")

r <- readRDS("data/stac_result.rds")


# build the table to display the info
url_bucket <- "https://dev-imagery-uav-bc.s3.amazonaws.com/"
url_bucket <- "https://imagery-uav-bc.s3.amazonaws.com/"
tab <- tibble::tibble(url_download = purrr::map_chr(r$features, ~ purrr::pluck(.x, "assets", "image", "href"))) |> 
  dplyr::mutate(stub = stringr::str_replace_all(url_download, url_bucket, "")) |> 
  tidyr::separate(
    col = stub, 
    into = c("region", "watershed_group", "year", "item", "rest"),
    sep = "/",
    extra = "drop"
  ) |> 
  dplyr::mutate(
    link_view = 
                  dplyr::case_when(
                    !tools::file_path_sans_ext(basename(url_download)) %in% c("dsm", "dtm") ~ 
                      ngr::ngr_str_link_url(
                        url_base = "https://viewer.a11s.one/?cog=",
                        url_resource = url_download, 
                        url_resource_path = FALSE,
                        # anchor_text= "URL View"
                        anchor_text= tools::file_path_sans_ext(basename(url_download))),
                    T ~ "-"),
                        link_download = ngr::ngr_str_link_url(url_base = url_download, anchor_text = url_download)
    )|> 
  dplyr::select(region, watershed_group, year, item, link_view, link_download)

Drone imagery download and viewer links. NOTE: To view all columns in the table - please click on one of the sort arrows within column headers before scrolling to the right.

As of QGIS 3.42 - ONE can also access stac items (orthoimagery, Digital Surface Models and Digital Terrain Models in our case) directly via the Data Source Manager. See a blog with details here. It looks like this in the th Layer / Data Source Manager toolbar in QGIS: