Package index • vrtility

VRT Core Functions

Core functions for Virtual Raster management

vrt_collect() print(<vrt_collection>) c(<vrt_collection>): Construct the base VRT object for composing VRT pipelines.

vrt_set_maskfun() set_mask_numpy() build_intmask() build_bitmask(): Set mask band of a VRT collection

vrt_warp(): Construct A warped VRT or warped VRT collection.

vrt_stack() print(<vrt_stack>): Stack VRT files from a vrt_collection object

vrt_set_gdal_pixelfun(): Set built-in GDAL pixel functions of a VRT stack object

vrt_set_py_pixelfun() median_numpy() mean_numpy() geomean_numpy() quantile_numpy() mean_db_numpy(): Set the pixel function of a VRT stack object

vrt_compute(): Generate a composite raster from (virtual) raster sources.

VRT helpers

Helper functions for VRT objects

vrt_set_band_names(): set the band names for a vrt_x object

vrt_save(): Save a vrt_block object to disk

vrt_add_empty_band(): Add an empty band to a VRT_x object

vrt_move_band(): Add an empty band to a VRT_x object

vrt_set_scale(): set the scale values for a VRT_x object

vrt_xml_schema vrt_schema(): The official GDAL VRT XML schema A copy of the official VRT schema for vritility VRT validation.

multi-band reduction funcions

Functions to create composites using multi-band algorithms

multiband_reduce() geomedian() medoid() quantoid() geomedoid(): Image composite reductions that require all bands.

single-band many-to-many functions

Functions designed to work with time-series, namely applying outlier filtering.

singleband_m2m() hampel_filter(): Image processing along a time series.

GDAL Configuration

GDAL configuration and setup functions

gdal_config_opts() gdal_creation_options() gdalwarp_options() set_gdal_config(): Create GDAL configuration options.

Python Integration

Python environment and computation environment

vrtility_py_require() set_py_env_vals() compute_with_py_env(): Setup the vrtility Python environment

STAC Functions

STAC query and planetary computer functions

stac_query() sign_planetary_computer() sentinel2_stac_query() hls_stac_query() sentinel1_stac_query(): Query a STAC source

Raster visualisation

plotting functions for raster files and vrt_x objects

plot_raster_src() plot(<vrt_block>) plot(<vrt_stack>) plot(<vrt_stack_warped>) plot(<vrt_collection>): plot a raster file or vrt_x object

Cache management

Helper functions for managing / altering vrtility cache settings

vrt_cache_set() vrt_cache_destroy(): Set the VRT cache directory

parallel processing helpers

Helper functions for parallel processing

using_daemons() n_daemons() machine_cores(): Mirai Daemon Management

Spatial helper functions

Helper functions for spatial operations

bbox_to_projected() to_wkt(): Project a lat/long bounding box to a generic projected coordinate system