i.landsat.acca - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.

NAME

i.landsat.acca - Performs Landsat TM/ETM+ Automatic Cloud Cover Assessment (ACCA).

KEYWORDS

imagery, ACCA, cloud detection, satellite, Landsat

SYNOPSIS

i.landsat.acca

i.landsat.acca --help

i.landsat.acca [-5fx2s] input=basename output=name [b56composite=float] [b45ratio=float] [histogram=integer] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-5: Data is Landsat-5 TM; I.e. Thermal band is '.6' not '.61')
-f: Apply post-processing filter to remove small holes
-x: Always use cloud signature (step 14)
-2: Bypass second-pass processing, and merge warm (not ambiguous) and cold clouds
-s: Include a category for cloud shadows
--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

input=basename [required]: Base name of input raster bands; Example: 'B.' for B.1, B.2, ...
output=name [required]: Name for output raster map
b56composite=float: B56composite (step 6); Default: 225.
b45ratio=float: B45ratio: Desert detection (step 10); Default: 1.
histogram=integer: Number of classes in the cloud temperature histogram; Default: 100

DESCRIPTION
NOTES
EXAMPLES
REFERENCES
SEE ALSO
AUTHOR

DESCRIPTION

i.landsat.acca implements the Automated Cloud-Cover Assessment (ACCA) Algorithm from Irish (2000) with the constant values for pass filter one from Irish et al. (2006). To do this, it needs Landsat band numbers 2, 3, 4, 5, and 6 (or band 61 for Landsat-7 ETM+) which have already been processed from DN into reflectance and band-6 temperature with i.landsat.toar).

The ACCA algorithm gives good results over most of the planet with the exception of ice sheets because ACCA operates on the premise that clouds are colder than the land surface they cover. The algorithm was designed for Landsat-7 ETM+ but because reflectance is used it is also useful for Landsat-4/5 TM.

NOTES

i.landsat.acca works in the current region settings.

EXAMPLES

Run the standard ACCA algorithm with filling of small cloud holes (the -f flag): With per-band reflectance raster maps named 226_62.toar.1, 226_62.toar.2, [...] and LANDSAT-7 thermal band 226_62.toar.61, outputting to a new raster map named 226_62.acca:

i.landsat.toar sensor=7 gain=HHHLHLHHL date=2003-04-07 \
  product_date=2008-11-27 band_prefix=226_62 solar_elevation=49.51654

i.landsat.acca -f band_prefix=226_62.toar output=226_62.acca

REFERENCES

Irish R.R., Barker J.L., Goward S.N., and Arvidson T., 2006. Characterization of the Landsat-7 ETM+ Automated Cloud-Cover Assessment (ACCA) Algorithm. Photogrammetric Engineering and Remote Sensing vol. 72(10): 1179-1188.
Irish, R.R., 2000. Landsat 7 Automatic Cloud Cover Assessment. In S.S. Shen and M.R. Descour (Eds.): Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI. Proceedings of SPIE, 4049: 348-355.

AUTHOR

E. Jorge Tizado (ej.tizado unileon es), Dept. Biodiversity and Environmental Management, University of León, Spain

SOURCE CODE

Available at: i.landsat.acca source code (history)

Latest change: Monday Nov 18 20:15:32 2019 in commit: 1a1d107e4f6e1b846f9841c2c6fabf015c5f720d