get_nlcd: Download and crop the National Land Cover Database.

In FedData: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources

Download and crop the National Land Cover Database.

Description

get_nlcd returns a SpatRaster of NLCD data cropped to a given template study area. nlcd_colors and pal_nlcd return the NLCD legend and color palette, as available through the MLRC website.

Usage

get_nlcd(
  template,
  label,
  year = 2019,
  dataset = "landcover",
  landmass = "L48",
  extraction.dir = file.path(tempdir(), "FedData", "extractions", "nlcd", label),
  raster.options = c("COMPRESS=DEFLATE", "ZLEVEL=9"),
  force.redo = FALSE
)

nlcd_colors()

pal_nlcd()

Arguments

template	An Simple Feature or terra object to serve as a template for cropping.
label	A character string naming the study area.
year	An integer representing the year of desired NLCD product. Acceptable values are 2019 (default), 2016, 2011, 2008, 2006, 2004, and 2001.
dataset	A character string representing type of the NLCD product. Acceptable values are 'landcover' (default), 'impervious', and 'canopy' (2016 and 2011, L48 only).
landmass	A character string representing the landmass to be extracted Acceptable values are 'L48' (lower 48 US states, the default), 'AK' (Alaska, 2011 and 2016 only), 'HI' (Hawaii, 2001 only), and 'PR' (Puerto Rico, 2001 only).
extraction.dir	A character string indicating where the extracted and cropped NLCD data should be put. The directory will be created if missing.
raster.options	a vector of GDAL options passed to terra::writeRaster.
force.redo	If an extraction for this template and label already exists, should a new one be created?

Value

A RasterLayer cropped to the bounding box of the template.

Examples

## Not run: 
# Extract data for the Mesa Verde National Park:

# Get the NLCD (USA ONLY)
# Returns a raster
NLCD <-
  get_nlcd(
    template = FedData::meve,
    label = "meve",
    year = 2016
  )

# Plot with terra::plot
plot(NLCD)

## End(Not run)

FedData documentation built on Oct. 3, 2023, 9:07 a.m.