Global Land Cover
fd_landcover_copernicus.Rd
Download a SpatRaster
from the Global Land Cover from the Copernicus Global
Land Service.
Usage
fd_landcover_copernicus(
x,
lon = NULL,
lat = NULL,
year = 2019,
layer = "forest",
crop = FALSE,
...,
quiet = FALSE
)
Arguments
- x
an
sf
orSpatVector
object. It will retrieve the necessary tiles to cover the area (iflat
andlon
are specified, this argument is ignored)- lon
a number specifying the longitude of the area where we want the tile
- lat
a number specifying the latitude of the area where we want the tile
- year
year of the land cover data. One of 2015:2019 or 'all'
- layer
a character vector of the layer(s) to use from the Global Land Cover. See details
- crop
when
x
is specified, whether to crop the tile(s) to the object- ...
additional arguments passed to the crop function
- quiet
if
TRUE
, suppress any message or progress bar
Details
There are 14 different layers that can be downloaded:
"discrete": land cover discrete classification
"classification": land cover classification probability
"bare": cover fraction of bare and sparse vegetation
"builtup": cover fraction of builtup
"crops": cover fraction of cropland
"tree": cover fraction of forest
"grass": cover fraction of herbaceous vegetation
"mosslichen": cover fraction of moss and lichen
"seasonalwater": cover fraction of seasonal inland water
"shrub": cover fraction of shrubland
"snow": cover fraction of snow and ice
"permanentwater": cover fraction of permanent inland water
"forest" (default): forest types. (0): unknown; (1): evergreen needle leaf forest; (2): evergreen broad leaf forest; (3): deciduous needle leaf; (4): deciduous broad leaf; (5): mix of forest types
"datadensityindicator": input data density
References
Buchhorn, M.; Smets, B.; Bertels, L.; De Roo, B.; Lesiv, M.; Tsendbazar, N. - E.; Herold, M.; Fritz, S. Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe 2020. DOI 10.5281/zenodo.3939050
Examples
# \donttest{
# Get tile for Galicia (Spain) and year 2019
galicia_forest_extent <- fd_landcover_copernicus(
lat = 42.7,
lon = -7.8,
year = 2019
)
#> ℹ 1 tile(s) were found. 1 tile(s) per year.
# Get forest and discrete classification tiles for all years
galicia_forest_extent <- fd_landcover_copernicus(
lat = 42.7,
lon = -7.8,
year = "all",
layer = c("forest", "discrete")
)
#> ℹ 10 tile(s) were found. 2 tile(s) per year.
#> ⠙ 1/10 ETA: 19s | Dowloaded years
#> ⠹ 2/10 ETA: 17s | Dowloaded years
#> ⠸ 3/10 ETA: 15s | Dowloaded years
#> ⠼ 5/10 ETA: 11s | Dowloaded years
#> ⠴ 6/10 ETA: 8s | Dowloaded years
#> ⠦ 8/10 ETA: 4s | Dowloaded years
#> ✔ Download completed [18.9s]
#>
# }