i.modis.qc(1grass)

Grass User's Manual

i.modis.qc(1grass)

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.

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: 2013-01-23 07:18:02 +0100 (Wed, 23 Jan 2013) $

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GRASS 6.4.4

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