download spatial data for scaling

data-raw/03_download_modis_data_spatial.R

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+# Download all remote sensing data using
+# appeears, takes about 8h to complete
+
+library(appeears)
+library(dplyr)
+library(rnaturalearth)
+
+# grab country polygons from world map
+# restrict to selected country
+country <- ne_countries(
+  scale = 110,
+  returnclass = "sf"
+  ) |>
+  dplyr::filter(
+    sovereignt ==  "Switzerland"
+  ) |>
+  sf::st_geometry()
+
+# list products to download
+product_subset <- c(
+  "MOD09GA.061",
+  "MODOCGA.006",
+  "MOD11A1.006",
+  "MCD43A4.061"
+  )
+
+# list appeears meta-data and subset
+# only the above products
+products <- appeears::rs_products() |>
+  filter(
+    ProductAndVersion %in% product_subset
+  )
+
+# loop over all products and create
+# basic query data
+full_queries <- lapply(
+  products$ProductAndVersion,
+  function(product){
+
+  # specify the products / bands required
+  # grab all non-QA bands
+  bands <- rs_layers(product) |>
+    filter(
+      IsQA == FALSE
+    )
+
+  if(product != "MOD11A1.006" ) {
+    bands <- bands |>
+      filter(
+        grepl("refl", Layer, ignore.case = TRUE)
+      )
+  } else {
+    bands <- bands |>
+      filter(
+        grepl("LST_Day", Layer)
+      )
+  }
+
+  bands <- bands |>
+    select(
+      Layer
+    ) |>
+    unlist()
+
+  base_query <- base_query |>
+    rowwise() |>
+    do({
+      data.frame(
+        subtask = product,
+        task = .$task,
+        latitude = .$latitude,
+        longitude = .$longitude,
+        start = .$start,
+        end = .$end,
+        product = product,
+        layer = as.character(bands)
+      )
+    })
+})
+
+tasks <- full_queries |>
+  bind_rows() |>
+  group_by(task, subtask) |>
+  group_split()
+
+tasks <- lapply(
+  tasks, function(task){
+    appeears::rs_build_task(task)
+})
+
+# request the task to be executed
+# don't download, just return
+# the task ID / request calls
+requests <- rs_request_batch(
+    request = tasks[265:280],
+    user = "khufkens",
+    workers = 10,
+    path = "data-raw/modis_data_spatial/"
+  )
+
+# clean up the files which are not required
+# first list all files, then select the
+# ones to remove (kick those out)
+downloaded_files <- list.files(
+  "data-raw/modis_data_spatial/",
+  "*",
+  full.names = TRUE,
+  recursive = TRUE
+  )
+
+files_to_remove <- downloaded_files[!grepl("results", downloaded_files)]
+
+# remove files
+file.remove(files_to_remove)