# 1. Copernicus GLC ------------------------------------------------------- ## 1.1. Load data --------------- ## LC for coords test_that("download LCC with coords work", { skip_on_cran() ## load data copernicus_coords <- fd_landcover_copernicus(lon = -7,lat = 43) ## check spatraster expect_s4_class(copernicus_coords, "SpatRaster") ## check source names expect_equal( copernicus_coords |> terra::sources() |> basename(), "W020N60_PROBAV_LC100_global_v3.0.1_2019-nrt_Forest-Type-layer_EPSG-4326.tif" ) }) ## LC coords several layers test_that("download LCC with coords work", { skip_on_cran() ## load data copernicus_coords_2_layers <- fd_landcover_copernicus( lon = -7, lat = 43, layer = c("crops", "tree") ) ## check spatraster expect_s4_class(copernicus_coords_2_layers, "SpatRaster") ## check source names expect_equal( copernicus_coords_2_layers |> terra::sources() |> basename(), c( "W020N60_PROBAV_LC100_global_v3.0.1_2019-nrt_Crops-CoverFraction-layer_EPSG-4326.tif", "W020N60_PROBAV_LC100_global_v3.0.1_2019-nrt_Tree-CoverFraction-layer_EPSG-4326.tif" ) ) }) # # ## LC coords several layers and years # copernicus_years <- fd_landcover_copernicus( # lon = -7, # lat = 43, # year = "all", # layer = c("crops", "tree") # ) ## Create a polygon for 1 tile polygon_1tile_vect <- sf::st_sfc(sf::st_point(c(-7, 44)), crs = 4326) |> sf::st_buffer(100000) |> sf::st_as_sf() |> terra::vect() ## Create a polygon for 2 tiles polygon_2tiles_sf <- sf::st_sfc(sf::st_point(c(-7, 44)), crs = 4326) |> sf::st_buffer(500000) |> sf::st_as_sf() ## LC polygon one layer (merging 2 tiles) test_that("download for one polygon, merging 2 tiles", { skip_on_cran() ## get data copernicus_polygon <- fd_landcover_copernicus( x = polygon_2tiles_sf, layer = "builtup" ) ## check spatraster expect_s4_class(copernicus_polygon, "SpatRaster") ## check layer names expect_equal(copernicus_polygon |> names(), "builtup_2019") }) ## LC polygon 2 layers (merging 2 tiles) # copernicus_polygon_2_layers <- fd_landcover_copernicus( # x = polygon_2tiles_sf, # layer = c("snow", "bare") # ) ## Crop test_that("download polygon, crop", { skip_on_cran() ## get data copernicus_crop <- fd_landcover_copernicus( x = polygon_1tile_vect, layer = "grass", year = 2016, crop = TRUE ) ## check spatraster expect_s4_class(copernicus_crop, "SpatRaster") ## check layer names expect_equal(copernicus_crop |> names(), "grass_2016") ## check crop worked well expect_equal(terra::ext(copernicus_crop)[1], terra::ext(polygon_1tile_vect)[1], tolerance = 1e-1) expect_equal(terra::ext(copernicus_crop)[2], terra::ext(polygon_1tile_vect)[2], tolerance = 1e-1) expect_equal(terra::ext(copernicus_crop)[3], terra::ext(polygon_1tile_vect)[3], tolerance = 1e-1) expect_equal(terra::ext(copernicus_crop)[4], terra::ext(polygon_1tile_vect)[4], tolerance = 1e-1) }) ## Check that data is properly downloaded (tiles are merged) # test_that("Data is properly downloaded", { # # expect_s4_class(copernicus_years, "SpatRaster") # # expect_s4_class(copernicus_polygon_2_layers, "SpatRaster") # }) # # ## Check that layers are correctly downloaded # test_that("Layers are correctly downloaded and named", { # # expect_equal( # # copernicus_years |> names(), # # c( # # paste0("crops_", 2015:2019), # # paste0("tree_", 2015:2019) # # ) # # ) # # expect_equal(copernicus_polygon_2_layers |> names(), c("bare_2019", "snow_2019")) # }) # 2. Esri LCE ------------------------------------------------------------- ## Check that data is properly downloaded test_that("Data is properly downloaded", { skip_on_cran() ## get data lc_base <- fd_landcover_esri("29T", year = 2020, quiet = FALSE) lc_years <- fd_landcover_esri("29N", year = "all", quiet = FALSE) ## check spatraster expect_s4_class(lc_base, "SpatRaster") expect_s4_class(lc_years, "SpatRaster") })