i.landsat.qa - GRASS GIS manual

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

NAME

i.landsat.qa - Reclassifies Landsat QA band according to acceptable pixel quality as defined by the user.

KEYWORDS

imagery, pixel, quality, qa, bitpattern, mask, landsat

SYNOPSIS

i.landsat.qa

i.landsat.qa --help

i.landsat.qa [output=name] [dataset=string] [designated_fill=string] [cloud=string] [cloud_confidence=string[,string,...]] [cloud_shadow_confidence=string[,string,...]] [snow_ice_confidence=string[,string,...]] [cirrus_confidence=string[,string,...]] [dilated_cloud=string] [snow=string] [clear=string] [water=string] [terrain_occlusion=string] [radiometric_saturation=string[,string,...]] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

--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:

output=name: Output file with reclass rules
dataset=string: Landsat dataset to search for; Options: landsat_tm_c1, landsat_etm_c1, landsat_8_c1, landsat_tm_c2_l1, landsat_tm_c2_l2, landsat_etm_c2_l1, landsat_etm_c2_l2, landsat_ot_c2_l1, landsat_ot_c2_l2; Default: landsat_8_c1
designated_fill=string: Unacceptable conditions for Designated Fill; Options: No, Yes
cloud=string: Unacceptable conditions for Clouds; Options: No, Yes
cloud_confidence=string[,string,...]: Unacceptable conditions for Cloud confidence; Options: Not Determined, Low, Medium, High
cloud_shadow_confidence=string[,string,...]: Unacceptable conditions for Cloud Shaddow Confidence; Options: Not Determined, Low, Medium, High
snow_ice_confidence=string[,string,...]: Unacceptable conditions for Snow/Ice Confidence; Options: Not Determined, Low, Medium, High
cirrus_confidence=string[,string,...]: Unacceptable conditions for Cirrus Confidence; Options: Not Determined, Low, Medium, High
dilated_cloud=string: Unacceptable conditions for Pixels with Dilated Clouds (only collection 2); Options: No, Yes
snow=string: Unacceptable conditions for Snow Pixels (only collection 2); Options: No, Yes
clear=string: Unacceptable conditions for Clear Pixels (only collection 2); Options: No, Yes
water=string: Unacceptable conditions for Water Pixels (only collection 2); Options: No, Yes
terrain_occlusion=string: Unacceptable conditions for Terrain Occlusion / Dropped Pixels (only collection 1); Options: No, Yes
radiometric_saturation=string[,string,...]: Unacceptable conditions for Radiometric Saturation (only collection 1); Options: Not Determined, Low, Medium, High

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
REFERENCES
AUTHOR

DESCRIPTION

Removing unreliable pixels is a fundamental and one of the first steps in remote sensing. Landsat imagery provides a Quality Assessment (QA) band which can be used for this purpose.

The i.landsat.qa module generates reclassification rule files which can be used in r.reclass for filtering the QA band according to pixel quality characteristics the user defines as unacceptable. It works with both Collection 1 and Collection 2 data from Landsat 8 OLI/TIRS, 4-7 TM/ETM+. The dataset the QA band belongs to is specified like in i.landsat.download.

Values defined as unacceptable for a given condition will be set to NULL in the output raster map. All other values will be set to 1.

The Quality Assessment (QA) band from Landsat contains 16bit integer values that represent "bit-packed combinations of surface, atmosphere, and sensor conditions that can affect the overall usefulness of a given pixel".

The following quality relevant conditions are represented as "single bits" in the Landsat QA band:

Condition	Collection
Designated Fill	1,2
Dilated Cloud	2
Terrain Occlusion / Dropped Pixels	1
Cloud	1,2
Cirrus	2
Cloud Shadow	2
Snow	2
Clear	2
Water	2

Possible choices for the "single bits" are:

Value	Description	Bit representation
No	This condition does not exist	0
Yes	This condition exists	1

The following quality relevant conditions are represented as "double bits" in the Landsat QA band:

Condition	Collection
Radiometric saturation	2
Cloud Confidence	1,2
Cloud Shadow Confidence	1,2
Snow/Ice Confidence	1,2
Cirrus Confidence	1,2

Possible choices for the "double bits" are:

Value	Description	Bit representation
Not Determined	Algorithm did not determine the status of this condition	00
Low	Algorithm has low to no confidence that this condition exists (0-33 percent confidence)	01
Medium	Algorithm has medium confidence that this condition exists (34-66 percent confidence)	10
High	Algorithm has high confidence that this condition exists (67-100 percent confidence)	11

NOTES

The Landsat Quality Assessment band is an artificial band which represents an analysis based on defined algorithms. The USGS provides the users with the following note on how the QA band should be used:

"Rigorous science applications seeking to optimize the value of pixels used in a study will find QA bits useful as a first level indicator of certain conditions. Otherwise, users are advised that this file contains information that can be easily misinterpreted and it is not recommended for general use."

EXAMPLE

# Create a cloud mask:
i.landsat.qa --overwrite --verbose cloud_confidence="Medium,High" \
    dataset="landsat_ot_c2_l2" \
    output=./Cloud_Mask_rules.txt
r.reclass input=LC81980182015183LGN00_BQA \
    output=LC81980182015183LGN00_Cloud_Mask rules=./Cloud_Mask_rules.txt

# Create a water mask (only available for collection 2):
i.landsat.qa --overwrite --verbose water="Yes" \
    dataset="landsat_ot_c2_l2" \
    output=./Water_Mask_rules.txt
r.reclass input=LC81980182015183LGN00_BQA \
    output=LC81980182015183LGN00_Water_Mask rules=./Water_Mask_rules.txt

REFERENCES

Landsat Collection 1 Level 1 Quality Assessment bands Landsat Collection 2 Level 1 Quality Assessment bands

AUTHOR

Stefan Blumentrath, Norwegian Institute for Nature Research, Oslo (Norway)

SOURCE CODE

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

Latest change: Monday Jun 28 07:54:09 2021 in commit: 1cfc0af029a35a5d6c7dae5ca7204d0eb85dbc55