RVT tiled processing

from tiled_multiprocess import run_main

Select file(s)

List paths to files. Paths can be passed as plain string format or as a pathlib.Path object.

# List of INPUT DATASETS (have to be in this format)
list_tifs = [
    r"<PATH_TO_INPUT_FILE>"
]

save_float

• The defaults are saved in 8-bit format (256 values, RGB)

• To also save pixel values as float, change the save_float parameter to True

save_vrt

• if True the results are left as tiles and a VRT file is created

• if False results are merged into TIF mosaic and indvidual tiles are deleted

save_float = True
save_vrt = True

Select visualizations

Select the desired blends by listing the keywords. Leave an empty Python list if no visualizations are to be saved.

vis_types = ["slrm", "hs"]

example of empty list:

vis_types = []

Keywords for basic visualizations:

• ‘slp’ - Slope

• ‘hs’ - Hillshade

• ‘slrm’ - Simple local relief model

• ‘svf’ - Sky view factor

• ‘opns’ - Positive openness

• ‘neg_opns’ - Negative openness

• ‘ld’ - Local dominance

• ‘mstp’ - Multi-scale topographic position

All visualizations are saved as 8-bit images using the default values for stretch and cut off

# Select visualizations
vis_types = [

]

Select blends

Select the desired blends by listing the keywords:

blend_types = ["vat_combined"]

example of empty list:

blend_types = []

Choose from the following keywords for blends:

• ‘vat_combined’

• ‘e2MSTP’

• ‘e4MSTP’

• ‘CRIM’

All blends are saved as 8-bit images using the default values for stretch and cut off

# Select visualizations
blend_types = [
    "vat_combined"
]

Run the main routine

Start processing by executing the following cell:

run_main(
    list_tifs=list_tifs,
    vis_types=vis_types,
    blend_types=blend_types,
    save_float=save_float,
    save_vrt=save_vrt
)