Construct A warped VRT or warped VRT collection.

Usage

vrt_warp(x, t_srs, te, tr, resampling, quiet)

# S3 method for class 'vrt_block'
vrt_warp(
  x,
  t_srs,
  te,
  tr,
  resampling = c("bilinear", "near", "cubic", "cubicspline", "lanczos", "average", "rms",
    "mode", "max", "min", "med", "q1", "q3", "sum"),
  quiet = TRUE
)

# S3 method for class 'vrt_collection'
vrt_warp(
  x,
  t_srs,
  te,
  tr,
  resampling = c("bilinear", "near", "cubic", "cubicspline", "lanczos", "average", "rms",
    "mode", "max", "min", "med", "q1", "q3", "sum"),
  quiet = TRUE
)

Arguments

x: A vrt_collection or vrt_block (most likely the former).
t_srs: character target SRS must be a numeric EPSG code, or SRS like character such as a proj4 string or WKT.
te: numeric vector of the target extent in the form c(xmin, ymin, xmax, ymax) using the same SRS as in t_srs.
tr: numeric vector of the target resolution in the form c(xres, yres)
resampling: character vector of the resampling methods to be used for each band. The default is "bilinear". "near" sampling will be used for the mask_band if provided.
quiet: logical indicating whether to suppress progress bar.

Details

This function generates warped VRT objects types. This is particularly useful when we want to create a vrt_stack but our input images span multiple spatial reference systems. In such a situation, before warping our input data we must align with our desired oputput grid.