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) $ Full index © 2003-2013 GRASS Development Team