t.sentinel.mask - GRASS GIS manual

NAME

t.sentinel.mask - Creates a space time raster data set of cloud masks and shadow masks by running i.sentinel.mask parallelized.

KEYWORDS

temporal, satellite, Sentinel, cloud detection, shadow detection

SYNOPSIS

t.sentinel.mask

t.sentinel.mask --help

t.sentinel.mask input=string [threshold=float] output_clouds=string [min_size_clouds=float] [output_shadows=string] [min_size_shadows=float] [metadata=name] [nprocs=integer] [--help] [--verbose] [--quiet] [--ui]

Flags:

--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

input=string [required]: STRDS with Sentinel-2 scenes (with bands B02,B03,B04,B08,B8A,B11,B12)
threshold=float: Minimum ESA cloud percentage to trigger cloud and shadow detection.; Default: 0
output_clouds=string [required]: STRDS with cloud masks of Sentinel-2 scenes
min_size_clouds=float: Value option that sets the minimal area size limit (in hectares) of the clouds
output_shadows=string: STRDS with shodow masks of Sentinel-2 scenes
min_size_shadows=float: Value option that sets the minimal area size limit (in hectares) of the cloud shadows
metadata=name: Name of folder with Sentinel metadata json files; Default is LOCATION/MAPSET/cell_misc/; Default: default
nprocs=integer: Number of parallel processes to use; Default: 1

DESCRIPTION
EXAMPLE
SEE ALSO
AUTHOR

DESCRIPTION

t.sentinel.mask is a GRASS GIS addon Python script to create a space time raster data set of cloud masks and shadow masks by running i.sentinel.mask parallelized.

EXAMPLE

t.sentinel.clouds input=s2 output=s2clouds nprocs=12

AUTHOR

Anika Weinmann, mundialis, Germany

SOURCE CODE

Available at: t.sentinel.mask source code (history)

Accessed: Thursday Aug 15 12:14:48 2024