Tool NameAutomated Cloud Cover Assessment
Tool ID9
Library IDimagery_tools
Version1.0
Author(s)B.Bechtel, O.Conrad (c) 2013

Description

Automated Cloud-Cover Assessment (ACCA) for Landsat TM/ETM+ imagery as proposed by Irish (2000). This tool incorporates E.J. Tizado's GRASS GIS implementation (i.landsat.acca).

References

Irish, R.R. (2000): Landsat 7 Automatic Cloud Cover Assessment. In: Shen, S.S., Descour, M.R. [Eds.]: Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI. Proceedings of SPIE, 4049: 348-355. doi:10.1117/12.410358

Irish, R.R., Barker, J.L., Goward, S.N., 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. doi:10.14358/PERS.72.10.1179

Tizado, E.J. (2010): GRASS GIS i.landsat.acca. E.J. Tizado's implementation of the method proposed by Irish (2000), Irish et al. (2006). Source Code


Parameters

NameTypeIdentifierDescriptionConstraints
Input
Greengrid, inputBAND2Reflectance
Redgrid, inputBAND3Reflectance
NIRgrid, inputBAND4Reflectance
SWIRgrid, inputBAND5Reflectance
Thermalgrid, inputBAND6Kelvin
Output
Cloudsgrid, outputCLOUD
Options
SWIR/Thermal Thresholdfloating point numberB56CThreshold for SWIR/Thermal Composite (step 6).Default: 225.000000
Desert Detection Thresholdfloating point numberB45RThreshold for desert detection (step 10, NIR/SWIR Ratio).Default: 1.000000
Temperature Histograminteger numberHIST_NNumber of classes in the cloud temperature histogram.Minimum: 10
Default: 100
Cloud SignaturebooleanCSIGAlways use cloud signature (step 14).Default: 1
Cloud DifferentiationbooleanPASS2Differentiate between warm (not ambiguous) and cold clouds.Default: 0
ShadowsbooleanSHADOWInclude a category for cloud shadows.Default: 1
FilterbooleanFILTERApply post-processing filter to remove small holes.Default: 1