Provided by: grass-doc_6.4.3-3_all 
NAME
i.modis.qc - Extracts quality control parameters from Modis QC layers.
KEYWORDS
QC, Quality Control, surface reflectance, Modis
SYNOPSIS
i.modis.qc
i.modis.qc help
i.modis.qc input=name output=name productname=string qcname=string [band=string] [--overwrite]
[--verbose] [--quiet]
Flags:
--overwrite
Allow output files to overwrite existing files
--verbose
Verbose module output
--quiet
Quiet module output
Parameters:
input=name
Name of input surface reflectance QC layer [bit array]
output=name
Name for output QC type classification layer
productname=string
Name of MODIS product type
Options: mod09Q1,mod09A1,mod09A1s,mod11A1,mod11A2
Default: mod09Q1
mod09Q1: surf. refl. 250m 8-days
mod09A1: surf. refl. 500m 8-days
mod09A1s: surf. refl. 500m 8-days, State QA
mod11A1: LST 1Km daily (Day/Night)
mod11A2: LST 1Km 8-days (Day/Night)
qcname=string
Name of QC type to extract
Options:
adjcorr,atcorr,cloud,data_quality,diff_orbit_from_500m,modland_qa_bits,mandatory_qa_11A1,data_quality_flag_11A1,emis_error_11A1,lst_error_11A1,data_quality_flag_11A2,emis_error_11A2,mandatory_qa_11A2,lst_error_11A2,aerosol_quantity,brdf_correction_performed,cirrus_detected,cloud_shadow,cloud_state,internal_clou_algorithm,internal_fire_algorithm,internal_snow_mask,land_water,mod35_snow_ice,pixel_adjacent_to_cloud
Default: modland_qa_bits
adjcorr: mod09: Adjacency Correction
atcorr: mod09: Atmospheric Correction
cloud: mod09: Cloud State
data_quality: mod09: Band-Wise Data Quality Flag
diff_orbit_from_500m: mod09: 250m Band is at Different Orbit than 500m
modland_qa_bits: mod09: MODIS Land General Quality Assessment
mandatory_qa_11A1: mod11A1: MODIS Land General Quality Assessment
data_quality_flag_11A1: mod11A1: Detailed Quality Indications
emis_error_11A1: mod11A1: Average Emissivity Error Classes
lst_error_11A1: mod11A1: Average LST Error Classes
data_quality_flag_11A2: mod11A2: Detailed Quality Indications
emis_error_11A2: mod11A2: Average Emissivity Error Classes
mandatory_qa_11A2: mod11A2: MODIS Land General Quality Assessment
lst_error_11A2: mod11A2: Average LST Error Classes
aerosol_quantity: mod09A1s: StateQA Internal Snow Mask
brdf_correction_performed: mod09A1s: StateQA Internal Snow Mask
cirrus_detected: mod09A1s: StateQA Internal Snow Mask
cloud_shadow: mod09A1s: StateQA Internal Snow Mask
cloud_state: mod09A1s: StateQA Internal Snow Mask
internal_clou_algorithm: mod09A1s: StateQA Internal Snow Mask
internal_fire_algorithm: mod09A1s: StateQA Internal Snow Mask
internal_snow_mask: mod09A1s: StateQA Internal Snow Mask
land_water: mod09A1s: StateQA Internal Snow Mask
mod35_snow_ice: mod09A1s: StateQA Internal Snow Mask
pixel_adjacent_to_cloud: mod09A1s: StateQA Internal Snow Mask
band=string
Band number of Modis product (mod09Q1=[1,2],mod09A1=[1-7])
Options: 1,2,3,4,5,6,7
1: mod09Q1/A1 Band 1: Red
2: mod09Q1/A1 Band 2: NIR
3: mod09A1 Band 3: Blue
4: mod09A1 Band 4: Green
5: mod09A1 Band 5: SWIR 1
6: mod09A1 Band 6: SWIR 2
7: mod09A1 Band 7: SWIR 3
DESCRIPTION
i.modis.qc Extracts Requested Quality Assessment flags from the following MODIS products: MOD09A1,
MOD09Q1, and MOD11A2. This does include MOD09A1 QA_state_500m layer (see Notes).
MOD09A1/Q1: MODLAND QA Bits. bits=[0-1]
[00]= class 0: Corrected product produced at ideal quality -- all bands
[01]= class 1: Corrected product produced at less than ideal quality -- some or all bands
[10]= class 2: Corrected product NOT produced due to cloud effect -- all bands
[11]= class 3: Corrected product NOT produced due to other reasons -- some or all bands
maybe be fill value (Note that a value of [11] overrides a value of [01])
MOD09Q1: Cloud State. bits=[2-3]
[00]= class 0: Clear -- No clouds
[01]= class 1: Cloudy
[10]= class 2: Mixed
[11]= class 3: Not Set ; Assumed Clear
MOD09Q1: Band-wise Data Quality 250m bits=[4-7][8-11]
MOD09A1: Band-wise Data Quality 500m bits=[2-5][6-9][10-13][14-17][18-21][22-25][26-29]
[0000]= class 0: highest quality
[0111]= class 1: noisy detector
[1000]= class 2: dead detector; data interpolated in L1B
[1001]= class 3: solar zenith ge 86 degrees
[1010]= class 4: solar zenith ge 85 and lt 86 degrees
[1011]= class 5: missing input
[1100]= class 6: internal constant used in place of climatological data for at least one
atmospheric constant
[1101]= class 7: correction out of bounds, pixel constrained to extreme allowable value
[1110]= class 8: L1B data faulty
[1111]= class 9: not processed due to deep ocean or cloud
Class 10-15: Combination of bits unused
MOD09A1/Q1: Atmospheric correction bit=[12]/[30]
[0]= class 0: Not Corrected product
[1]= class 1: Corrected product
MOD09A1/Q1: Adjacency correction bit=[13]/[31]
[0]= class 0: Not Corrected product
[1]= class 1: Corrected product
MOD09Q1: Different orbit from 500m product, bit=[14]
[0]= class 0: same orbit as 500m
[1]= class 1: different orbit from 500m
MOD11A2: Mandatory QA Flags bits=[0-1]
[00]= class 0: LST produced, good quality, not necessary to examine more detailed QA
[01]= class 1: LST produced, other quality, recommend examination of more detailed QA
[10]= class 2: LST not produced due to cloud effects
[11]= class 3: LST not produced primarily due to reasons other than cloud
MOD11A1: Data Quality Flag bits=[2-3]
[00]= class 0: Good data quality of L1B in bands 31 and 32
[01]= class 1: Other quality data
[10]= class 2: TBD
[11]= class 3: TBD
MOD11A1: Emis Error Flag bits=[4-5]
[00]= class 0: Average emissivity error le 0.01
[01]= class 1: Average emissivity error le 0.02
[10]= class 2: Average emissivity error le 0.04
[11]= class 3: Average emissivity error gt 0.04
MOD11A1: LST Error Flag bits=[6-7]
[00]= class 0: Average LST error le 1
[01]= class 1: Average LST error le 2
[10]= class 2: Average LST error le 3
[11]= class 3: Average LST error gt 3
MOD11A2: Mandatory QA Flags bits=[0-1]
[00]= class 0: LST produced, good quality, not necessary to examine more detailed QA
[01]= class 1: LST produced, other quality, recommend examination of more detailed QA
[10]= class 2: LST not produced due to cloud effects
[11]= class 3: LST not produced primarily due to reasons other than cloud
MOD11A2: Data Quality Flag bits=[2-3]
[00]= class 0: Good data quality of L1B in 7 TIR bands
[01]= class 1: Other quality data
[10]= class 2: TBD
[11]= class 3: TBD
MOD11A2: Emis Error Flag bits=[4-5]
[00]= class 0: Average emissivity error le 0.01
[01]= class 1: Average emissivity error le 0.02
[10]= class 2: Average emissivity error le 0.04
[11]= class 3: Average emissivity error gt 0.04
MOD11A2: LST Error Flag bits=[6-7]
[00]= class 0: Average LST error le 1
[01]= class 1: Average LST error le 2
[10]= class 2: Average LST error le 3
[11]= class 3: Average LST error gt 3
MOD09A1s: Cloud State bits=[0-1]
[00]= class 0: clear
[01]= class 1: cloudy
[10]= class 2: mixed
[11]= class 3: not set, assumed clear
MOD09A1s: Cloud shadow bits=[2]
[0]= class 0: yes
[1]= class 1: no
MOD09A1s: Land/Water Flag bits=[3-5]
[000]= class 0: Shallow ocean
[001]= class 1: Land
[010]= class 2: Ocean coastlines and lake shorelines
[011]= class 3: Shallow inland water
[100]= class 4: Ephemeral water
[101]= class 5: Deep inland water
[110]= class 6: Continental/moderate ocean
[111]= class 7: Deep ocean
MOD09A1s: Aerosol Quantity bits=[6-7]
[00]= class 0: Climatology
[01]= class 1: Low
[10]= class 2: Average
[11]= class 3: High
MOD09A1s: Cirrus detected bits=[8-9]
[00]= class 0: None
[01]= class 1: Small
[10]= class 2: Average
[11]= class 3: High
MOD09A1s: Internal Cloud Algorithm Flag bits=[10]
[0]= class 0: Cloud
[1]= class 1: No cloud
MOD09A1s: Internal Fire Algorithm Flag bits=[11]
[0]= class 0: Fire
[1]= class 1: No fire
MOD09A1s: MOD35 snow/ice flag bits=[12]
[0]= class 0: Yes
[1]= class 1: No
MOD09A1s: Pixel adjacent to cloud bits=[13]
[0]= class 0: Yes
[1]= class 1: No
MOD09A1s: BRDF correction performed bits=[14]
[0]= class 0: Yes
[1]= class 1: No
MOD09A1s: Internal Snow Mask bits=[15]
[0]= class 0: Snow
[1]= class 1: No snow
NOTES
In MOD09A1: It seems that cloud related info is not filled properly in the standard QC (MOD09A1 in this
module) since version 3, State-QA 500m images (MOD09A1s in this module) should be used (see Vermote et
al., 2008).
TODO
Add one Day products.
SEE ALSO
i.vi
REFERENCES
MODIS Products
Vermote E.F., Kotchenova S.Y., Ray J.P. MODIS Surface Reflectance User's Guide. Version
1.2. June 2008. MODIS Land Surface Reflectance Science Computing Facility. Homepage
AUTHOR
Yann Chemin
Last changed: $Date: 2013-01-22 22:18:02 -0800 (Tue, 22 Jan 2013) $
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© 2003-2013 GRASS Development Team
GRASS 6.4.3 i.modis.qc(1grass)