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Download and process EarthEnv Global Cloud Cover layers

Source: R/cloudcover.R
cloudcover.Rd

This function downloads, processes, and extracts variables from the EarthEnv Global Cloud Cover dataset. Each variable corresponds to a global Cloud-Optimized GeoTIFF (COG) representing cloud cover dynamics.

Usage

cloudcover(x, vars, ...)

Arguments

x

The output from `par_set()` defining the area or locations for extraction, the reference system, and the buffer. Leave this empty and use `par_set()` to define parameters for download.

vars

Character vector of one or more variables to download and process.

...

Additional arguments (currently unused).

Value

If `par_set()` contained a raster/polygon/points with buffer: a `SpatRaster` stack of processed variables. If `par_set()` contained spatial points or data.frame of points without buffer: a `data.frame` of x, y, and extracted values.

Details

Available variables (working synonyms in parentheses):

Metrics

  • 1 - "MODCF_CloudForestPrediction" ("cloud forest prediction", "cloud forest", "cfp")

  • 2 - "MODCF_interannualSD" ("inter-annual variability", "interannual sd", "interannual variability")

  • 3 - "MODCF_intraannualSD" ("intra-annual variability", "intraannual sd", "intraannual variability")

  • 4 - "MODCF_meanannual" ("mean annual", "annual mean", "annual")

  • 5 - "MODCF_spatialSD_1deg" ("spatial variability", "spatial sd", "spatial sd 1deg")

Seasonality

  • 6 - "MODCF_seasonality_concentration" ("seasonality concentration", "concentration")

  • 7 - "MODCF_seasonality_rgb" ("seasonality rgb", "rgb")

  • 8 - "MODCF_seasonality_theta" ("seasonality theta", "theta")

  • 9 - "MODCF_seasonality_visct" ("seasonality single band", "seasonality visct", "seasonality color")

Monthly Means

  • 10 - "MODCF_monthlymean_01" ("january mean", "january", "jan")

  • 11 - "MODCF_monthlymean_02" ("february mean", "february", "feb")

  • 12 - "MODCF_monthlymean_03" ("march mean", "march", "mar")

  • 13 - "MODCF_monthlymean_04" ("april mean", "april", "apr")

  • 14 - "MODCF_monthlymean_05" ("may mean", "may")

  • 15 - "MODCF_monthlymean_06" ("june mean", "june", "jun")

  • 16 - "MODCF_monthlymean_07" ("july mean", "july", "jul")

  • 17 - "MODCF_monthlymean_08" ("august mean", "august", "aug")

  • 18 - "MODCF_monthlymean_09" ("september mean", "september", "sep")

  • 19 - "MODCF_monthlymean_10" ("october mean", "october", "oct")

  • 20 - "MODCF_monthlymean_11" ("november mean", "november", "nov")

  • 21 - "MODCF_monthlymean_12" ("december mean", "december", "dec")

Citation:
Wilson AM, Jetz W (2016). "Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions." PLoS Biol 14(3): e1002415. https://doi.org/10.1371/journal.pbio.1002415

Note: Please cite original sources of primary datasets where appropriate.

Examples

# \donttest{
processed <- par_set(country= "Italy", crs=3035) %>% 
cloudcover(vars=c("mean annual", "january"))
  # }