EO cube from STAC

Create a data cube for EO images retrieved from a STAC catalog.

Usage

eo_cube.stac(
  x,
  endpoint,
  collection,
  stacOptions = list(),
  t0,
  t1,
  dt = "P1D",
  asset_names = NULL,
  joint_assets = TRUE,
  maxCloud = NULL,
  maskOptions = list(NULL),
  aggregation = "first",
  resampling = "bilinear",
  harm_bandnames = TRUE
)

Arguments

x

spatRaster. Defines spatial reference of the output data cube

endpoint

character. STAC endpoint

collection

character. STAC collection

stacOptions

list. Optional arguments to be passed to [eo_stac_search()], e.g. authentication options

t0

start date as numeric, character or Date

t1

end date as numeric, character or Date

dt

size of pixels in time-direction, expressed as ISO8601 period string

asset_names

character vector of asset (band) names to be used, or NULL for all asset names with "eo:bands" attributes

joint_assets

logical indicating if only the assets (bands) present in all features should be used, if argument asset_names is NULL

maxCloud

maximum cloud cover [0-100] of images to be included in data cube, only relevant for collections with "eo:cloud_cover" attributes

maskOptions

list specifying layer used to create mask and masking options (see [eo_mask.cube()])

aggregation

see [gdalcubes::cube_view()]

resampling

see [gdalcubes::cube_view()]

harm_bandnames

logical indicating whether endpoint/collection-specific band names should be changed to generic band names

Value

proxy data cube object

Details

t0 and t1 can be provided as numeric in format yyyymmdd, as a character in the format "yyyymmdd" or "yyyy-mm-dd", or as a Date object. For now, only date is implemented, not time.