i.landsat.acca(1grass) | GRASS GIS User's Manual | i.landsat.acca(1grass) |
i.landsat.acca - Performs Landsat TM/ETM+ Automatic Cloud Cover Assessment (ACCA).
imagery, ACCA, cloud detection, satellite, Landsat
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]
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.
i.landsat.acca works in the current region settings.
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
i.atcorr, i.landsat.toar
E. Jorge Tizado (ej.tizado unileon es), Dept. Biodiversity and Environmental Management, University of León, Spain
Available at: i.landsat.acca source code (history)
Accessed: Sunday Jan 22 07:37:30 2023
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