1i.modis.qc(1)                 Grass User's Manual                i.modis.qc(1)
2
3
4

NAME

6       i.modis.qc  - Extracts quality control parameters from MODIS QC layers.
7

KEYWORDS

9       imagery, imagery quality assessment, reflectance, land surface tempera‐
10       ture, vegetation, satellite, MODIS
11

SYNOPSIS

13       i.modis.qc
14       i.modis.qc --help
15       i.modis.qc  input=name  output=name  productname=string   qcname=string
16       [band=string]   [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]
17
18   Flags:
19       --overwrite
20           Allow output files to overwrite existing files
21
22       --help
23           Print usage summary
24
25       --verbose
26           Verbose module output
27
28       --quiet
29           Quiet module output
30
31       --ui
32           Force launching GUI dialog
33
34   Parameters:
35       input=name [required]
36           Name of input surface reflectance QC layer [bit array]
37
38       output=name [required]
39           Name for output QC type classification layer
40
41       productname=string [required]
42           Name of MODIS product type
43           Options:  mod09Q1,  mod09A1, mod09A1s, mod09GA, mod09GAs, mod09CMG,
44           mod09CMGs, mod09CMGi, mod11A1, mod11A2, mod13A2, mcd43B2, mcd43B2q,
45           mod13Q1
46           mod09Q1: surf. refl. 250m 8-days
47           mod09A1: surf. refl. 500m 8-days
48           mod09A1s: surf. refl. 500m 8-days, State QA
49           mod09GA: surf. refl. 500m daily
50           mod09GAs: surf. refl. 500m daily, State QA
51           mod09CMG: surf. refl. 5000m daily
52           mod09CMGs: surf. refl. 5000m daily, State QA
53           mod09CMGi: surf. refl. 5000m daily, Internal Climatology
54           mod11A1: LST 1km daily (Day/Night)
55           mod11A2: LST 1km 8-days (Day/Night)
56           mod13A2: VI 1km 16-days
57           mcd43B2: Brdf-Albedo Quality (Ancillary SDS) 1km 8-days
58           mcd43B2q: Brdf-Albedo Quality (BRDF SDS) 1km 8-days
59           mod13Q1: VI 250m 16-days
60
61       qcname=string [required]
62           Name of QC type to extract
63           Options:       adjcorr,      atcorr,      cloud,      data_quality,
64           diff_orbit_from_500m,  modland_qa,  mandatory_qa_11A1,   data_qual‐
65           ity_flag_11A1,    emis_error_11A1,    lst_error_11A1,    data_qual‐
66           ity_flag_11A2, emis_error_11A2, mandatory_qa_11A2,  lst_error_11A2,
67           aerosol_quantity,    brdf_correction_performed,    cirrus_detected,
68           cloud_shadow,   cloud_state,    internal_cloud_algorithm,    inter‐
69           nal_fire_algorithm, internal_snow_mask, land_water, mod35_snow_ice,
70           pixel_adjacent_to_cloud,    salt_pan,    icm_cloudy,     icm_clear,
71           icm_high_clouds, icm_low_clouds, icm_snow, icm_fire, icm_sun_glint,
72           icm_dust,     icm_cloud_shadow,     icm_pixel_is_adjacent_to_cloud,
73           icm_cirrus,    icm_pan_flag,    icm_criteria_for_aerosol_retrieval,
74           icm_aot_has_clim_val, modland_qa, vi_usefulness,  aerosol_quantity,
75           pixel_adjacent_to_cloud,  brdf_correction_performed,  mixed_clouds,
76           land_water,    possible_snow_ice,    possible_shadow,     platform,
77           land_water,  sun_z_angle_at_local_noon,  brdf_correction_performed,
78           modland_qa,    vi_usefulness,     aerosol_quantity,     pixel_adja‐
79           cent_to_cloud, brdf_correction_performed, mixed_clouds, land_water,
80           possible_snow_ice, possible_shadow
81           adjcorr: mod09: Adjacency Correction
82           atcorr: mod09: Atmospheric Correction
83           cloud: mod09: Cloud State
84           data_quality: mod09: Band-Wise Data Quality Flag
85           diff_orbit_from_500m: mod09: 250m Band is at Different  Orbit  than
86           500m
87           modland_qa: mod13Q1: MODIS Land General Quality Assessment
88           mandatory_qa_11A1: mod11A1: MODIS Land General Quality Assessment
89           data_quality_flag_11A1: mod11A1: Detailed Quality Indications
90           emis_error_11A1: mod11A1: Average Emissivity Error Classes
91           lst_error_11A1: mod11A1: Average LST Error Classes
92           data_quality_flag_11A2: mod11A2: Detailed Quality Indications
93           emis_error_11A2: mod11A2: Average Emissivity Error Classes
94           mandatory_qa_11A2: mod11A2: MODIS Land General Quality Assessment
95           lst_error_11A2: mod11A2: Average LST Error Classes
96           aerosol_quantity: mod13Q1: Quantity range of Aerosol
97           brdf_correction_performed: mod13Q1: if BRDF correction performed
98           cirrus_detected: mod09*s: StateQA Cirrus Detected
99           cloud_shadow: mod09*s: StateQA Cloud Shadow
100           cloud_state: mod09*s: StateQA Cloud State
101           internal_cloud_algorithm: mod09*s: StateQA Internal Cloud Algorithm
102           internal_fire_algorithm: mod09*s: StateQA Internal Fire Algorithm
103           internal_snow_mask: mod09*s: StateQA Internal Snow Mask
104           land_water: mod13Q1: separate land from various water objects
105           mod35_snow_ice: mod09*s: StateQA mod35 Snow Ice
106           pixel_adjacent_to_cloud: mod13Q1: if pixel is a cloud neighbour
107           salt_pan: mod09*s: StateQA Salt Pan (mod09GAs)
108           icm_cloudy: mod09*i: Internal CM: Cloudy
109           icm_clear: mod09*i: Internal CM: Clear
110           icm_high_clouds: mod09*i: Internal CM: High Clouds
111           icm_low_clouds: mod09*i: Internal CM: Low Clouds
112           icm_snow: mod09*i: Internal CM: Snow
113           icm_fire: mod09*i: Internal CM: Fire
114           icm_sun_glint: mod09*i: Internal CM: Sun Glint
115           icm_dust: mod09*i: Internal CM: Dust
116           icm_cloud_shadow: mod09*i: Internal CM: Cloud Shadow
117           icm_pixel_is_adjacent_to_cloud:  mod09*i:  Internal  CM:  Pixel  is
118           Adjacent to Cloud
119           icm_cirrus: mod09*i: Internal CM: Cirrus
120           icm_pan_flag: mod09*i: Internal CM: Pan Flag
121           icm_criteria_for_aerosol_retrieval: mod09*i: Internal CM:  Criteria
122           for Aerosol Retrieval
123           icm_aot_has_clim_val:  mod09*i:  Internal  CM: AOT (aerosol optical
124           depth) has clim. val.
125           vi_usefulness: mod13Q1: Quality estimation of the pixel
126           mixed_clouds: mod13Q1: if pixel mixed with clouds
127           possible_snow_ice: mod13Q1: if snow/ice present in pixel
128           possible_shadow: mod13Q1: if shadow is present in pixel
129           platform: mcd43B2: Quality of BRDF correction performed
130           sun_z_angle_at_local_noon: mcd43B2: Quality of BRDF correction per‐
131           formed
132
133       band=string
134           Band           number           of           MODIS          product
135           (mod09Q1=[1,2],mod09A1=[1-7],m[o/y]d09GA=[1-7],m[o/y]d09CMG=[1-7],
136           mcd43B2q=[1-7])
137           Options: 1, 2, 3, 4, 5, 6, 7
138           1: Band 1: Red
139           2: Band 2: NIR
140           3: Band 3: Blue
141           4: Band 4: Green
142           5: Band 5: SWIR 1
143           6: Band 6: SWIR 2
144           7: Band 7: SWIR 3
145

DESCRIPTION

147       i.modis.qc extracts Requested Quality Assessment flags from the follow‐
148       ing  MODIS  products:  MOD09A1,  MOD09Q1,  MOD11A1,  MOD11A2,  MOD13A2,
149       MOD13Q1,  MCD43B2.  This  does include MOD09A1 QA_state_500m layer (see
150       Notes).
151       Added MOD09GA support in 2016, it follows MOD09A1 and its StateQA,  but
152       does not have BRDF State QA, instead has Salt Pan State QA.
153
154   MOD09A1 and MOD09Q1
155       MOD09A1/Q1: MODLAND QA Bits. bits=[0-1]
156
157           ·   [00]=  class  0: Corrected product produced at ideal quality --
158               all bands
159
160           ·   [01]= class 1: Corrected product produced at  less  than  ideal
161               quality -- some or all bands
162
163           ·   [10]=  class  2:  Corrected  product  NOT produced due to cloud
164               effect -- all bands
165
166           ·   [11]= class 3: Corrected product NOT produced due to other rea‐
167               sons  --  some  or  all  bands maybe be fill value (Note that a
168               value of [11] overrides a value of [01])
169       MOD09Q1: Cloud State. bits=[2-3]
170
171           ·   [00]= class 0: Clear -- No clouds
172
173           ·   [01]= class 1: Cloudy
174
175           ·   [10]= class 2: Mixed
176
177           ·   [11]= class 3: Not Set ; Assumed Clear
178       MOD09Q1: Band-wise Data Quality 250m bits=[4-7][8-11]
179       MOD09A1: Band-wise Data Quality 500m bits=[2-5][6-9][10-13][14-17][18-21][22-25][26-29]
180
181           ·   [0000]= class 0: highest quality
182
183           ·   [0111]= class 1: noisy detector
184
185           ·   [1000]= class 2: dead detector; data interpolated in L1B
186
187           ·   [1001]= class 3: solar zenith ≥ 86 degrees
188
189           ·   [1010]= class 4: solar zenith ≥ 85 and < 86 degrees
190
191           ·   [1011]= class 5: missing input
192
193           ·   [1100]= class 6: internal constant used in place of climatolog‐
194               ical data for at least one atmospheric constant
195
196           ·   [1101]= class 7: correction out of bounds, pixel constrained to
197               extreme allowable value
198
199           ·   [1110]= class 8: L1B data faulty
200
201           ·   [1111]= class 9: not processed due to deep ocean or cloud
202
203           ·   Class 10-15: Combination of bits unused
204       MOD09A1/Q1: Atmospheric correction bit=[12]/[30]
205
206           ·   [0]= class 0: Not Corrected product
207
208           ·   [1]= class 1: Corrected product
209       MOD09A1/Q1: Adjacency correction bit=[13]/[31]
210
211           ·   [0]= class 0: Not Corrected product
212
213           ·   [1]= class 1: Corrected product
214       MOD09Q1: Different orbit from 500m product, bit=[14]
215
216           ·   [0]= class 0: same orbit as 500m
217
218           ·   [1]= class 1: different orbit from 500m
219       MOD09A1s: Cloud State bits=[0-1]
220
221           ·   [00]= class 0: clear
222
223           ·   [01]= class 1: cloudy
224
225           ·   [10]= class 2: mixed
226
227           ·   [11]= class 3: not set, assumed clear
228       MOD09A1s: Cloud shadow bits=[2]
229
230           ·   [0]= class 0: no
231
232           ·   [1]= class 1: yes
233       MOD09A1s: Land/Water Flag bits=[3-5]
234
235           ·   [000]= class 0: Shallow ocean
236
237           ·   [001]= class 1: Land
238
239           ·   [010]= class 2: Ocean coastlines and lake shorelines
240
241           ·   [011]= class 3: Shallow inland water
242
243           ·   [100]= class 4: Ephemeral water
244
245           ·   [101]= class 5: Deep inland water
246
247           ·   [110]= class 6: Continental/moderate ocean
248
249           ·   [111]= class 7: Deep ocean
250       MOD09A1s: Aerosol Quantity bits=[6-7]
251
252           ·   [00]= class 0: Climatology
253
254           ·   [01]= class 1: Low
255
256           ·   [10]= class 2: Average
257
258           ·   [11]= class 3: High
259       MOD09A1s: Cirrus detected bits=[8-9]
260
261           ·   [00]= class 0: None
262
263           ·   [01]= class 1: Small
264
265           ·   [10]= class 2: Average
266
267           ·   [11]= class 3: High
268       MOD09A1s: Internal Cloud Algorithm Flag bits=[10]
269
270           ·   [0]= class 0: No cloud
271
272           ·   [1]= class 1: Cloud
273       MOD09A1s: Internal Fire Algorithm Flag bits=[11]
274
275           ·   [0]= class 0: No fire
276
277           ·   [1]= class 1: Fire
278       MOD09A1s: MOD35 snow/ice flag bits=[12]
279
280           ·   [0]= class 0: No
281
282           ·   [1]= class 1: Yes
283       MOD09A1s: Pixel adjacent to cloud bits=[13]
284
285           ·   [0]= class 0: No
286
287           ·   [1]= class 1: Yes
288       MOD09A1s: BRDF correction performed bits=[14]
289
290           ·   [0]= class 0: No
291
292           ·   [1]= class 1: Yes
293       MOD09A1s: Internal Snow Mask bits=[15]
294
295           ·   [0]= class 0: No snow
296
297           ·   [1]= class 1: Snow
298
299   MOD11A1
300       MOD11A1: Mandatory QA Flags bits=[0-1]
301
302           ·   [00]= class 0: LST produced, good  quality,  not  necessary  to
303               examine more detailed QA
304
305           ·   [01]=  class 1: LST produced, other quality, recommend examina‐
306               tion of more detailed QA
307
308           ·   [10]= class 2: LST not produced due to cloud effects
309
310           ·   [11]= class 3: LST not produced primarily due to reasons  other
311               than cloud
312       MOD11A1: Data Quality Flag bits=[2-3]
313
314           ·   [00]= class 0: Good data quality of L1B in bands 31 and 32
315
316           ·   [01]= class 1: Other quality data
317
318           ·   [10]= class 2: TBD
319
320           ·   [11]= class 3: TBD
321       MOD11A1: Emis Error Flag bits=[4-5]
322
323           ·   [00]= class 0: Average emissivity error ≤ 0.01
324
325           ·   [01]= class 1: Average emissivity error ≤ 0.02
326
327           ·   [10]= class 2: Average emissivity error ≤ 0.04
328
329           ·   [11]= class 3: Average emissivity error > 0.04
330       MOD11A1: LST Error Flag bits=[6-7]
331
332           ·   [00]= class 0: Average LST error ≤ 1
333
334           ·   [01]= class 1: Average LST error ≤ 2
335
336           ·   [10]= class 2: Average LST error ≤ 3
337
338           ·   [11]= class 3: Average LST error > 3
339
340   MOD11A2
341       MOD11A2: Mandatory QA Flags bits=[0-1]
342
343           ·   [00]=  class  0:  LST  produced, good quality, not necessary to
344               examine more detailed QA
345
346           ·   [01]= class 1: LST produced, other quality, recommend  examina‐
347               tion of more detailed QA
348
349           ·   [10]= class 2: LST not produced due to cloud effects
350
351           ·   [11]=  class 3: LST not produced primarily due to reasons other
352               than cloud
353       MOD11A2: Data Quality Flag bits=[2-3]
354
355           ·   [00]= class 0: Good data quality of L1B in 7 TIR bands
356
357           ·   [01]= class 1: Other quality data
358
359           ·   [10]= class 2: TBD
360
361           ·   [11]= class 3: TBD
362       MOD11A2: Emis Error Flag bits=[4-5]
363
364           ·   [00]= class 0: Average emissivity error ≤ 0.01
365
366           ·   [01]= class 1: Average emissivity error ≤ 0.02
367
368           ·   [10]= class 2: Average emissivity error ≤ 0.04
369
370           ·   [11]= class 3: Average emissivity error > 0.04
371       MOD11A2: LST Error Flag bits=[6-7]
372
373           ·   [00]= class 0: Average LST error ≤ 1
374
375           ·   [01]= class 1: Average LST error ≤ 2
376
377           ·   [10]= class 2: Average LST error ≤ 3
378
379           ·   [11]= class 3: Average LST error > 3
380
381   MOD13A2
382       MOD13A2: Mandatory QA Flags 1km bits[0-1]
383
384           ·   [00]= class 0: VI produced, good quality
385
386           ·   [01]= class 1: VI produced, but check other QA
387
388           ·   [10]= class 2: Pixel produced, but most probably cloud
389
390           ·   [11]= class 3: Pixel not produced due  to  other  reasons  than
391               clouds
392       MOD13A2: VI Usefulness Flag bits[2-5]
393
394           ·   [0000]= class 0: Highest quality
395
396           ·   [0001]= class 1: Lower quality
397
398           ·   [0010]= class 2: Decreasing quality
399
400           ·   [0100]= class 3: Decreasing quality
401
402           ·   [1000]= class 4: Decreasing quality
403
404           ·   [1001]= class 5: Decreasing quality
405
406           ·   [1010]= class 6: Decreasing quality
407
408           ·   [1100]= class 7: Lowest quality
409
410           ·   [1101]= class 8: Quality so low that it is not useful
411
412           ·   [1110]= class 9: L1B data faulty
413
414           ·   [1111]= class 10: Not useful for any other reason/not processed
415       MOD13A2: Aerosol quantity Flags 1km bits[6-7]
416
417           ·   [00]= class 0: Climatology
418
419           ·   [01]= class 1: Low
420
421           ·   [10]= class 2: Average
422
423           ·   [11]= class 3: High
424       MOD13A2: Adjacent cloud detected 1km bit[8]
425
426           ·   [00]= class 0: No
427
428           ·   [01]= class 1: Yes
429       MOD13A2: Atmosphere BRDF correction performed 1km bit[9]
430
431           ·   [00]= class 0: No
432
433           ·   [01]= class 1: Yes
434       MOD13A2: Mixed clouds 1km bit[10]
435
436           ·   [00]= class 0: No
437
438           ·   [01]= class 1: Yes
439       MOD13A2: Land/Water Flags 1km bits[11-13]
440
441           ·   [000]= class 0: Shallow Ocean
442
443           ·   [001]= class 1: Land (Nothing else but land)
444
445           ·   [010]= class 2: Ocean Coastlines and lake shorelines
446
447           ·   [011]= class 3: Shallow inland water
448
449           ·   [100]= class 4: Ephemeral water
450
451           ·   [101]= class 5: Deep inland water
452
453           ·   [110]= class 6: Moderate or continental ocean
454
455           ·   [111]= class 7: Deep ocean
456       MOD13A2: Possible Snow/Ice 1km bits[14]
457
458           ·   [0]= class 0: No
459
460           ·   [1]= class 1: Yes
461       MOD13A2: Possible Shadow 1km bits[15]
462
463           ·   [0]= class 0: No
464
465           ·   [1]= class 1: Yes
466
467   MOD13Q1
468       MOD13Q1: Mandatory QA Flags 250m bits[0-1]
469
470           ·   [00]= class 0: VI produced, good quality
471
472           ·   [01]= class 1: VI produced, but check other QA
473
474           ·   [10]= class 2: Pixel produced, but most probably cloud
475
476           ·   [11]=  class  3:  Pixel  not produced due to other reasons than
477               clouds
478       MOD13Q1: VI Usefulness Flag 250m bits[2-5]
479
480           ·   [0000]= class 0: Highest quality
481
482           ·   [0001]= class 1: Lower quality
483
484           ·   [0010]= class 2: Decreasing quality
485
486           ·   [0100]= class 3: Decreasing quality
487
488           ·   [1000]= class 4: Decreasing quality
489
490           ·   [1001]= class 5: Decreasing quality
491
492           ·   [1010]= class 6: Decreasing quality
493
494           ·   [1100]= class 7: Lowest quality
495
496           ·   [1101]= class 8: Quality so low that it is not useful
497
498           ·   [1110]= class 9: L1B data faulty
499
500           ·   [1111]= class 10: Not useful for any other reason/not processed
501       MOD13Q1: Aerosol quantity Flags 250m bits[6-7]
502
503           ·   [00]= class 0: Climatology
504
505           ·   [01]= class 1: Low
506
507           ·   [10]= class 2: Average
508
509           ·   [11]= class 3: High
510       MOD13Q1: Adjacent cloud detected 250m bit[8]
511
512           ·   [00]= class 0: No
513
514           ·   [01]= class 1: Yes
515       MOD13Q1: Atmosphere BRDF correction performed 250m bit[9]
516
517           ·   [00]= class 0: No
518
519           ·   [01]= class 1: Yes
520       MOD13Q1: Mixed clouds 250m bit[10]
521
522           ·   [00]= class 0: No
523
524           ·   [01]= class 1: Yes
525       MOD13Q1: Land/Water Flags 250m bits[11-13]
526
527           ·   [000]= class 0: Shallow Ocean
528
529           ·   [001]= class 1: Land (Nothing else but land)
530
531           ·   [010]= class 2: Ocean Coastlines and lake shorelines
532
533           ·   [011]= class 3: Shallow inland water
534
535           ·   [100]= class 4: Ephemeral water
536
537           ·   [101]= class 5: Deep inland water
538
539           ·   [110]= class 6: Moderate or continental ocean
540
541           ·   [111]= class 7: Deep ocean
542       MOD13Q1: Possible Snow/Ice 250m bits[14]
543
544           ·   [0]= class 0: No
545
546           ·   [1]= class 1: Yes
547       MOD13Q1: Possible Shadow 250m bits[15]
548
549           ·   [0]= class 0: No
550
551           ·   [1]= class 1: Yes
552
553   MCD43B2
554       MCD43B2: Albedo Quality Ancillary Platform Data 1km bits[0-3]
555       SDS: BRDF_Albedo_Ancillary
556
557           ·   [0000]= class 0: Satellite Platform: Terra
558
559           ·   [0001]= class 1: Satellite Platform: Terrra/Aqua
560
561           ·   [0010]= class 2: Satellite Platform: Aqua
562
563           ·   [1111]= class 15: Fill Value
564
565           ·   Classes 3-14: Not used
566       MCD43B2: Albedo Quality Ancillary Land/Water Data 1km bits[4-7]
567       SDS: BRDF_Albedo_Ancillary
568
569           ·   [0000] class 0: Shallow Ocean
570
571           ·   [0001] class 1: Land (Nothing else but land)
572
573           ·   [0010] class 2: Ocean and lake shorelines
574
575           ·   [0011] class 3: Shallow inland water
576
577           ·   [0100] class 4: Ephemeral water
578
579           ·   [0101] class 5: Deep inland water
580
581           ·   [0110] class 6: Moderate or continental ocean
582
583           ·   [0111] class 7: Deep ocean
584
585           ·   [1111] class 15: Fill Value
586
587           ·   Classes 8-14: Not used
588       MCD43B2: Albedo Quality Ancillary Sun Zenith Angle at Local Solar Noon Data 1km bits[8-14]
589       SDS: BRDF_Albedo_Ancillary
590           Returns integer value [0-90], 127 is Fill Value
591       MCD43B2: Band-wise Albedo Quality Data 1km
592       SDS: BRDF_Albedo_Band_Quality
593       bits[0-3][4-7][8-11][12-15][16-19][20-23][24-27]
594
595           ·   [0000]= class 0: best quality,  75%  or  more  with  best  full
596               inversions
597
598           ·   [0001]= class 1: good quality, 75% or more with full inversions
599
600           ·   [0010]=  class 2: Mixed, 50% or less full inversions and 25% or
601               less fill values
602
603           ·   [0011]= class 3: All magnitude inversions or 50% or  less  fill
604               values
605
606           ·   [0100]= class 4: 75% or more fill values
607
608           ·   Classes 5-14: Not Used
609
610           ·   [1111]= class 15: Fill Value
611

NOTES

613       In  MOD09A1: It seems that cloud related info is not filled properly in
614       the standard QC (MOD09A1 in this module) since version 3, State-QA 500m
615       images  (MOD09A1s  in  this module) should be used (see Vermote et al.,
616       2008).  MOD11A2 quality control (QC) bands  do  not  have  a  FillValue
617       (No-data) according to MODIS Land Products site.  However, the metadata
618       of the QC bands (i.e.: gdalinfo QC_band) shows No-data=0.   This  value
619       is  then  transformed  into  GRASS  NULLs when data is imported through
620       r.in.gdal. Applying i.modis.qc on those QC  bands  will  not  give  the
621       expected  range  of  values in the different QC bits. Therefore, before
622       using i.modis.qc, the user needs to set the NULL value in QC bands back
623       to  zero  (i.e.:  r.null  map=QC_band null=0) or just edit the metadata
624       with GDAL utilities before importing into GRASS GIS. This  is  a  known
625       issue  for  MOD11A2 (8-day LST product), but other MODIS products might
626       be affected as well.
627

TODO

629       Add more daily products.
630

SEE ALSO

632        i.vi
633

REFERENCES

635           ·   MODIS Products
636
637           ·   Vermote  E.F.,  Kotchenova  S.Y.,  Ray   J.P.   MODIS   Surface
638               Reflectance  User’s  Guide.  Version 1.2. June 2008. MODIS Land
639               Surface Reflectance Science Computing Facility.  Homepage
640

AUTHOR

642       Yann Chemin
643

SOURCE CODE

645       Available at: i.modis.qc source code (history)
646
647       Main index | Imagery index | Topics index | Keywords index |  Graphical
648       index | Full index
649
650       © 2003-2019 GRASS Development Team, GRASS GIS 7.8.2 Reference Manual
651
652
653
654GRASS 7.8.2                                                      i.modis.qc(1)
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