forked from Teagasc/IEOtools
-
Notifications
You must be signed in to change notification settings - Fork 1
/
updateS5p.py
1017 lines (942 loc) · 50.2 KB
/
updateS5p.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
#!/usr/bin/env python3
# Guy Serbin, EOanalytics Ltd.
# Talent Garden Dublin, Claremont Ave. Glasnevin, Dublin 11, Ireland
# email: guyserbin <at> eoanalytics <dot> ie
# version 2.0
# This script will create and update a shapefile of all available Level-2 Sentinel 5p scenes that intersect the area of interest, including available metadata
# Changes:
# 23 May 2018: XML functionality deprecated in favor of JSON queries, as the former is no longer available or efficient
# 25 March 2019: This script will now read configuration data from ieo.ini
import os, sys, urllib.error, datetime, shutil, glob, argparse, json, getpass, requests, math #, ieo
from osgeo import ogr, osr
import xml.etree.ElementTree as ET
from PIL import Image
try: # This is included as the module may not properly install in Anaconda.
import ieo
except:
print('Error: IEO failed to load. Please input the location of the directory containing the IEO installation files.')
ieodir = input('IEO installation path: ')
if os.path.isfile(os.path.join(ieodir, 'ieo.py')):
sys.path.append(r'D:\Data\IEO\ieo')
import ieo
else:
print('Error: that is not a valid path for the IEO module. Exiting.')
sys.exit()
if sys.version_info[0] == 2:
# import ConfigParser as configparser
from urllib import urlretrieve
from urllib2 import urlopen, URLError
else:
# import configparser
from urllib.request import urlopen, urlretrieve
from urllib.error import URLError
global pathrows, errorsfound
config = ieo.config
# config = configparser.ConfigParser()
# config_location = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'updateshp.ini')
# config.read(config_location) # config_path
pathrowvals = config['Sentinel5p']['pathrowvals'] # this is a comma-delimited string containing multiples of four values: start path, end path, start row, end row. It is designed to query rectangular path/row combinations, in order to avoid scenes that don't touch landmasses or are not of interest.
# useWRS2 = config['Sentinel5p']['useWRS2'] # Setting this parameter to "Yes" in updateshp.ini will query WRS-2 Path/ Row field values from ieo.WRS2, and may result in a great increase in the number of queries to USGS servers
parser = argparse.ArgumentParser('This script imports Sentinel 5p Level-2 scene metadata into the local library.')
#parser.add_argument('-x','--xml', type = bool, default = False, help = 'Use downloaded XML files from USGS.')
#parser.add_argument('-j','--json', type = bool, default = True, help = 'Use JSON query (Default = True).')
parser.add_argument('-u','--username', type = str, default = config['Sentinel5p']['username'], help = 'S5phub username.')
parser.add_argument('-p', '--password', type = str, default = config['Sentinel5p']['password'], help = 'S5phub password.')
# parser.add_argument('-c', '--catalogID', type = str, default = 'EE', help = 'USGS/EROS Catalog ID (default = "EE").')
# parser.add_argument('-v', '--version', type = str, default = "1.4.0", help = 'JSON version, default = 1.4.0.')
parser.add_argument('--startdate', type = str, default = "2018-06-28T00:00:00.000Z", help = 'Start date and time string for query in UTC (YYYY-MM-DDTHH:MM:SS.SSSZ) format. (Default = 2018-06-28T00:00:00.000Z).')
parser.add_argument('--enddate', type = str, default = None, help = "End date and time string for query in UTC format. (Default = current UTC date and time).")
parser.add_argument('-m', '--MBR', type = str, default = config['Sentinel5p']['footprint'], help = 'Minimum Bounding Rectangle (MBR) coordinates in decimal degrees in the following format: "ULX ULY,URX URY,LRX LRY, LLX LLY, ULX ULY". If not supplied, these will be determined from IEO configureation defaults.')
parser.add_argument('-b', '--baseURL', type = str, default = 'https://s5phub.copernicus.eu/dhus/search?q=', help = 'Base URL to use excluding JSON version (Default = "https://earthexplorer.usgs.gov/inventory/json/v/").')
# parser.add_argument('--maxResults', type = int, default = 50000, help = 'Maximum number of results to return (1 - 50000, default = 50000).')
parser.add_argument('--overwrite', type = bool, default = False, help = 'Overwrite existing files.')
parser.add_argument('--thumbnails', type = bool, default = True, help = 'Download thumbnails (default = True).')
parser.add_argument('--loclatlonshp', type = str, default = config['VECTOR']['latlon'], help = 'Shapefile of area of interest in Lat/Lon, EPSG:4326. Default value should be in IEO configuration.')
parser.add_argument('--locshp', type = str, default = config['VECTOR']['locshp'], help = 'Shapefile of area of interest in default local projection. Default value should be in IEO configuration.)
parser.add_argument('--S5platlon', type = str, default = config['VECTOR']['S5platlon'], help = 'Shapefile of available S5p scenes in Lat/Lon, EPSG:4326. Default value should be in IEO configuration.)
parser.add_argument('--S5plocal', type = str, default = config['VECTOR']['S5plocal'], help = 'Shapefile of available S5p scenes in default local projection. Default value should be in IEO configuration.)
args = parser.parse_args()
if not (args.username and args.password):
if not args.username:
args.username = input('S5phub username: ')
if not args.password:
args.password = getpass.getpass('S5phub password: ')
#pathrows = []
subpathrow = []
#xmls = []
#xmls = ['metadata21.xml', 'metadata22_24.xml']
metadatadir = os.path.join(ieo.ingestdir, 'S5p', 'Metadata')
dirname = os.path.join(ieo.catdir, 'Sentinel5p')
logdir = ieo.logdir
jpgdir = os.path.join(dirname, 'Thumbnails')
itmdir = ieo.srdir
shapefile = args.S5platlon
layername = os.path.basename(shapefile)[:-4] # assumes a shapefile ending in '.shp'
addfields = ['Archive']
errorlist = []
scenelist = []
if not args.enddate:
today = datetime.datetime.utcnow()
args.enddate = today.strftime('%Y-%m-%dT23:59:59.999Z')
prodlist = sorted(['CH4', 'NO2', 'CLOUD', 'CO', 'HCHO', 'AER_AI', 'NP_BD3', 'NP_BD6', 'NP_BD7', 'O3_TCL', 'O3__', 'SO2'])
errorfile = os.path.join(logdir, 'Sentinel5p_inventory_download_errors.csv')
errorsfound = False
#localxmls = False # New code as the old XML download string doesn't include newer landsat data or the new product IDs.
#local = input('Do you have local XML metadata files that you downloaded from the USGS? (y/N): ')
#if local.lower() == 'y' or local.lower == 'yes':
# localxmls = True
# xmls = glob.glob(os.path.join(ingestdir, '*.xml'))
# pathrowstrs = [] # list of strings containing WRS-2 Path/ Row combinations
# paths = [] # list containing WRS-2 Paths
# rows = [] # List containing WRS-2 Rows
#
# if useWRS2.lower() == 'yes':
# gdb, wrs = os.path.split(ieo.WRS2)
# print('Getting WRS-2 Path/Row combinations from shapefile: {}'.format(ieo.WRS2))
# driver = ogr.GetDriverByName("ESRI Shapefile")
# print('WRS-2 = {}'.format(ieo.WRS2))
# ds = driver.Open(ieo.WRS2, 0)
# layer = ds.GetLayer()
# for feature in layer:
# path = feature.GetField('PATH')
# if not path in paths:
# paths.append(path)
# row = feature.GetField('ROW')
# if not row in rows:
# rows.append(row)
# pathrowstrs.append('{:03d}{:03d}'.format(path, row))
# # pathrows.append([path, path, row, row])
# ds = None
# else:
# print('Using WRS-2 Path/Row combinations from INI file.')
# pathrowvals = pathrowvals.split(',')
# # print(pathrowvals)
# iterations = int(len(pathrowvals) / 4)
# # print('Iterations = {}'.format(iterations))
# for i in range(iterations):
# for j in range(int(pathrowvals[i * 4]), int(pathrowvals[i * 4 + 1]) + 1):
# # print('j = {}'.format(j))
# if not j in paths:
# paths.append(j)
# for k in range(int(pathrowvals[i * 4 + 2]), int(pathrowvals[i * 4 + 3]) + 1):
# # print('k = {}'.format(k))
# pathrowstrs.append('{:03d}{:03d}'.format(j, k))
# if not k in rows:
# rows.append(k)
#print('Paths')
#print(paths)
#print('Rows')
#print(rows)
#if not localxmls and len(xmls) == 0:
# if useWRS2.lower() == 'yes':
## gdb, wrs = os.path.split(ieo.WRS2)
# driver = ogr.GetDriverByName("ESRI Shapefile")
# ds = driver.Open(ieo.WRS2, 0)
# layer = ds.Getlayer()
# for feature in layer:
# path = feature.GetField('PATH')
# row = feature.GetField('ROW')
# pathrows.append([path, path, row, row])
# xmls.append('Metadata_{}{:03d}.xml'.format(path, row))
# ds = None
# else:
# pathrowvals = pathrowvals.split(',')
# numxmls = len(pathrowvals) / 4
# xmlnum = 1
# i = 0
# if numxmls > 0:
# while xmlnum <= numxmls:
# subpathrow.append(int(pathrowvals[i]))
# i += 1
# if i % 4 == 0:
# xmls.append('Metadata_{}.xml'.format(xmlnum))
# pathrows.append(subpathrow)
# subpathrow = []
# xmlnum += 1
# else:
# print('Error: there are no values for WRS Paths/Rows in updateshp.ini, or the file is missing. Returning.')
# sys.exit()
## JSON functions
#
# def getapiKey():
# # This function gets the apiKey used for all queries to the USGS/EROS servers
# URL = '{}{}/login'.format(args.baseURL, args.version)
# print('Logging in to: {}'.format(URL))
# data = json.dumps({'username': args.username, 'password': args.password, 'catalog_ID': args.catalogID})
# response = requests.post(URL, data = {'jsonRequest':data}) #
# json_data = json.loads(response.text)
# apiKey = json_data['data']
# return apiKey
# def getMBR():
# # This creates the Minimum Bounding Rectangle (MBR) for JSON queries
# URL = '{}{}/grid2ll'.format(args.baseURL, args.version)
# prs = [[min(paths), min(rows)], [min(paths), max(rows)], [max(paths), max(rows)], [max(paths), min(rows)]]
# Xcoords = []
# Ycoords = []
# for pr in prs:
# print('Requesting coordinates for WRS-2 Path {} Row {}.'.format(pr[0], pr[1]))
# jsonRequest = json.dumps({"gridType" : "WRS2", "responseShape" : "point", "path" : str(pr[0]), "row" : str(pr[1])}).replace(' ','')
# requestURL = '{}?jsonRequest={}'.format(URL, jsonRequest)
# response = requests.post(requestURL) # URL, data = {'jsonRequest': jsonRequest}
# json_data = json.loads(response.text)
# Xcoords.append(float(json_data["data"]["coordinates"][0]["longitude"]))
# Ycoords.append(float(json_data["data"]["coordinates"][0]["latitude"]))
# return [min(Ycoords), min(Xcoords), max(Ycoords), max(Xcoords)]
# def scenesearch(apiKey, scenelist):
# # This searches the USGS archive for scene metadata, and checks it against local metadata. New scenes will be queried for metadata.
# RequestURL = '{}{}/search'.format(args.baseURL, args.version)
# QueryURL = '{}{}/metadata'.format(args.baseURL, args.version)
# datasetNames = ['LANDSAT_8_C1', 'LANDSAT_ETM_C1', 'LANDSAT_TM_C1']
# scenedict = {}
# js = {'LL': 0, 'UL': 1, 'UR': 2, 'LR': 3}
# for datasetName in datasetNames:
# print('Querying collection: {}'.format(datasetName))
# searchparams = json.dumps({"apiKey": apiKey,
# "datasetName": datasetName,
# "spatialFilter":{"filterType": "mbr",
# "lowerLeft":{"latitude": args.MBR[0],
# "longitude": args.MBR[1]},
# "upperRight":{"latitude": args.MBR[2],
# "longitude": args.MBR[3]}},
# "temporalFilter":{"startDate": args.startdate,
# "endDate": args.enddate},
# "includeUnknownCloudCover":False,
# "maxCloudCover": 100,
# "maxResults": args.maxResults,
# "sortOrder": "ASC"})
# response = requests.post(RequestURL, data = {'jsonRequest': searchparams})
# json_data = json.loads(response.text)
# querylist = []
# for i in range(len(json_data['data']['results'])):
# sceneID = json_data['data']['results'][i]['entityId']
# if sceneID[3:9] in pathrowstrs and not sceneID in scenelist:
# querylist.append(sceneID)
# scenedict[sceneID] = {'Landsat Product Identifier': json_data['data']['results'][i]["displayId"],
# "browseUrl": json_data['data']['results'][i]["browseUrl"],
# "dataAccessUrl": json_data['data']['results'][i]["dataAccessUrl"],
# "downloadUrl": json_data['data']['results'][i]["downloadUrl"],
# "metadataUrl": json_data['data']['results'][i]["metadataUrl"],
# "fgdcMetadataUrl": json_data['data']['results'][i]["fgdcMetadataUrl"],
# 'modifiedDate': json_data['data']['results'][i]["modifiedDate"],
# "orderUrl": json_data['data']['results'][i]["orderUrl"],
# 'coords': [[0.0, 0.0]] * 5,
# 'Dataset Identifier': datasetName}
#
# if len(querylist) > 0:
# print('{} new scenes have been found, querying metadata.'.format(len(querylist)))
# iterations = math.ceil(len(querylist) / 100) # break up queries into blocks of 100 or less scenes
# total = 0
# #iterations = 1 # temporary limitation
# for iteration in range(iterations):
# startval = iteration * 100
# if iteration * 100 > len(querylist):
# endval = len(querylist) - startval - 1
# else:
# endval = startval + 99
# total += endval + 1
# print('Now querying {} scenes, query {}/{}.'.format((endval - startval + 1), iteration + 1, iterations))
# querystr = ''
#
# for sceneID in querylist[startval: endval]:
# querystr += ',{}'.format(sceneID)
# querystr = querystr[1:]
# queryparams = json.dumps({"apiKey":apiKey,
# "datasetName":datasetName,
# 'entityIds': querystr})
# query = requests.post(QueryURL, data = {'jsonRequest':queryparams})
# # if endval == 99:
# # outfile = r'd:\data\ieo\firstquery.txt'
# # with open(outfile, 'w') as output:
# # output.write(query.text)
# querydict = json.loads(query.text)
# if len(querydict['data']) > 0:
# for item in querydict['data']:
# if len(item['metadataFields']) > 0:
# for subitem in item['metadataFields']:
# fieldname = subitem['fieldName'].rstrip().lstrip().replace('L-1', 'L1')
# if fieldname == 'Landsat Scene Identifier':
# sceneID = subitem['value']
# elif fieldname in queryfieldnames and not fieldname in scenedict[sceneID].keys():
# value = subitem['value']
# if value:
# i = queryfieldnames.index(fieldname)
# if fieldvaluelist[i][3] == ogr.OFTDate or fieldname.endswith('Date'):
# if 'Time' in fieldname:
# value = datetime.datetime.strptime(value[:-1], '%Y:%j:%H:%M:%S.%f')
# elif '/' in value:
# value = datetime.datetime.strptime(value, '%Y/%m/%d')
# else:
# value = datetime.datetime.strptime(value, '%Y-%m-%d')
# elif fieldvaluelist[i][3] == ogr.OFTReal:
# value = float(value)
# elif fieldvaluelist[i][3] == ogr.OFTInteger:
# try:
# value = int(value)
# except:
# print('Error: fieldname {} has a value of {}.'.format(fieldname, value))
# sys.exit()
# elif fieldname == 'browseUrl':
# if value:
# if value.lower() != 'null':
# scenedict[sceneID]['browse'] = 'Y'
# else:
# scenedict[sceneID]['browse'] = 'N'
# elif fieldname == 'Data Type Level-1':
# j = value.rfind('_') + 1
# value = value[j:]
# scenedict[sceneID][fieldname] = value
# elif fieldname in polycoords:
# if 'Long' in fieldname:
# k = 1
# else:
# k = 0
# if fieldname.startswith('LL'): # Scene polygons start and end on lower left corner
# for l in [0, 4]:
# scenedict[sceneID]['coords'][js[fieldname[:2]] + l][k] = float(value)
# else:
# scenedict[sceneID]['coords'][js[fieldname[:2]]][k] = float(value)
#
# if not 'Spacecraft Identifier' in scenedict[sceneID].keys():
# scenedict[sceneID]['Spacecraft Identifier'] = 'LANDSAT_{}'.format(sceneID[2:3])
# return scenedict
# def findlocalfiles(sceneID, fielddict, scenedict):
# # for field in addfields[1:]:
# # localfiledict[field] = None
# itm = os.path.join(itmdir, '{}_ref_{}.dat'.format(sceneID, ieo.projacronym))
# if not os.path.isfile(itm): # Populate 'SR_path' field if surface reflectance data are present in library
# itmlist = glob.glob(os.path.join(itmdir, '{}*_ref_{}.dat'.format(sceneID[:16], ieo.projacronym)))
# if len(itmlist) > 0:
# itm = itmlist[0]
# else:
# itm = os.path.join(itmdir, '{}_ref_{}.dat'.format(scenedict[sceneID]['Landsat Product Identifier'], ieo.projacronym))
# if not os.path.isfile(itm):
# itm = None
# if itm:
# scenedict['SR_path'] = itm
# itmbasename = os.path.basename(itm)
# extloc = itmbasename.find('_ref_')
# scenebase = itmbasename[:extloc]
# for key in fielddict.keys():
# datafile = os.path.join(fielddict[key]['dirname'], '{}{}'.format(scenebase, fielddict[key]['ext']))
# if os.path.isfile(datafile):
# scenedict[key] = datafile
# if key == 'PixQA_path':
# scenedict['MaskType'] = 'Pixel_QA'
# elif key == 'Fmask_path':
# scenedict['MaskType'] = 'FMask'
# return scenedict
## Old XML functions, deprecated
def dlxmls(args.startdate, args.enddate, ingestdir, prodlist, *args, **kwargs): # This downloads queried XML files
#pathrows = [[207, 208, 21, 21],[205, 209, 22, 24]]
global errorsfound
tries = 1
downloaded = False
startday = args.startdate
endday = startday + datetime.timedelta(days = 1)
while startday < args.endday:
for product in prodlist:
URL = '{}footprint:"Intersects(POLYGON(({})))"%20AND%20filename:S5P_OFFL_L2__{}*%20AND%20beginposition:[{}%20TO%20{}]'.format(args.baseURL, args.MBR, product, startday, endday)
basexml = 'S5P_OFFL_L2__{}_{}_{}.xml'.format(product, startday, endday)
xml = os.path.join(metadatadir, basexml)
if not os.path.isfile(xml):
print('Now searching for Sentinel 5p for {} Level 2 product scene metadata acquired between {} and {}.'.format(product, startday, endday))
downloaded = False
while not downloaded and tries < 6:
print('Download attempt {} of 5.'.format(tries))
try:
# url = urllib.request.urlopen(urlname)
urlretrieve(urlname, xml) # filename=xml
print('Download successful.')
downloaded = True
except URLError as e:
print(e.reason)
ieo.logerror(urlname, e.reason, errorfile = errorfile)
errorsfound = True
tries += 1
if tries == 6:
ieo.logerror(xml, 'Download error.', errorfile = errorfile)
print('Download failure: {}'.format(x))
errorsfound = True
startday = endday
endday += datetime.timedelta(days = 1)
## Other functions
def dlthumb(url, jpgdir, *args, **kwargs): # This downloads thumbnails from the USGS
global errorsfound
basename = os.path.basename(url)
f = os.path.join(jpgdir, basename)
tries = 1
downloaded = False
print('Downloading {} to {}'.format(basename, jpgdir))
while not downloaded and tries < 6:
print('Download attempt {} of 5.'.format(tries))
try:
url = urlopen(dlurl)
urlretrieve(dlurl, filename = f)
if url.length == os.stat(f).st_size:
downloaded = True
else:
print('Error downloading, retrying.')
tries += 1
except urllib.error.URLError as e:
print(e.reason)
ieo.logerror(dlurl, e.reason, errorfile = errorfile)
errorsfound = True
if tries == 6:
ieo.logerror(f, 'Download error.', errorfile = errorfile)
print('Download failure: {}'.format(basename))
errorsfound = True
else:
return 'Success!'
def makeworldfile(jpg, geom): # This attempts to make a worldfile for thumbnails so they can be displayed in a GIS
img = Image.open(jpg)
basename = os.path.basename(jpg)
width, height = img.size
width = float(width)
height = float(height)
minX, maxX, minY, maxY = geom.GetEnvelope()
if basename[:3] == 'LE7':
wkt = geom.ExportToWkt()
start = wkt.find('(') + 2
end = wkt.find(')')
vals = wkt[start:end]
vals = vals.split(',')
corners = []
for val in vals:
val = val.split()
for v in val:
corners.append(float(v))
A = (maxX - corners[0]) / width
B = (corners[0] - minX) / height
C = corners[0]
D = (maxY - corners[3]) / width
E = (corners[3] - minY) / height
F = corners[1]
else:
A = (maxX - minX) / width
B = 0.0
C = minX
D = (maxY - minY) / height
E = 0.0
F = maxY
jpw = jpg.replace('.jpg', '.jpw')
if os.access(jpw, os.F_OK):
bak = jpw.replace('.jpw', '.jpw.{}.bak'.format(today.strftime('%Y%m%d-%H%M%S')))
shutil.move(jpw, bak)
with open(jpw, 'w') as file:
file.write('{}\n-{}\n-{}\n-{}\n{}\n{}\n'.format(A, D, B, E, C, F))
del img
def reporthook(blocknum, blocksize, totalsize):
# This makes a progress bar. I did not originally write it, nor do I remember from where I found the code.
readsofar = blocknum * blocksize
if totalsize > 0:
percent = readsofar * 1e2 / totalsize
s = "\r%5.1f%% %*d / %d" % (
percent, len(str(totalsize)), readsofar, totalsize)
sys.stderr.write(s)
if readsofar >= totalsize: # near the end
sys.stderr.write("\n")
else: # total size is unknown
sys.stderr.write("read %d\n" % (readsofar,))
if args.MBR: # define MBR for scene queries
args.MBR = args.MBR.split(',')
if len(args.MBR) != 4:
ieo.logerror('--MBR', 'Total number of coordinates does not equal four.', errorfile = errorfile)
print('Error: Improper number of coordinates for --MBR set (must be four). Either remove this option (will use default values) or fix. Exiting.')
sys.exit()
else:
args.MBR = getMBR()
# This section borrowed from https://pcjericks.github.io/py-gdalogr-cookbook/projection.html
# Lat/ Lon WGS-84 to local projection transformation
source = osr.SpatialReference() # Lat/Lon WGS-64
source.ImportFromEPSG(4326)
#target = osr.SpatialReference()
#i = ieo.prjstr.find(':') + 1
#target.ImportFromEPSG(int(ieo.prjstr[i:])) # EPSG code set in ieo.ini
target = ieo.prj
transform = osr.CoordinateTransformation(source, target)
# Create Shapefile
driver = ogr.GetDriverByName("ESRI Shapefile")
polycoords = ['UL Corner Lat dec', 'UL Corner Long ec', 'UR Corner Lat dec', 'UR Corner Long dec', 'LL Corner Lat dec', 'LL Corner Long dec', 'LR Corner Lat dec', 'LR Corner Long dec']
# fieldvaluelist element format: [shapefile fieldname, XML tag, JSON fieldname, OGR type, field length]
fieldvaluelist = [
['LandsatPID', 'LANDSAT_PRODUCT_ID', 'Landsat Product Identifier', ogr.OFTString, 40],
['sceneID', 'sceneID', 'Landsat Scene Identifier', ogr.OFTString, 21],
['SensorID', 'SensorID', 'Sensor Identifier', ogr.OFTString, 0],
['SatNumber', 'satelliteNumber', 'Spacecraft Identifier', ogr.OFTString, 0],
['acqDate', 'acquisitionDate', 'Acquisition Date', ogr.OFTDate, 0],
['Updated', 'dateUpdated', 'modifiedDate', ogr.OFTDate, 0],
['path', 'path', 'WRS Path', ogr.OFTInteger, 0],
['row', 'row', 'WRS Row', ogr.OFTInteger, 0],
['CenterLat', 'sceneCenterLatitude', 'Center Latitude dec', ogr.OFTReal, 0],
['CenterLong', 'sceneCenterLongitude', 'Center Longitude dec', ogr.OFTReal, 0],
['CC', 'cloudCover', 'Cloud Cover Truncated', ogr.OFTInteger, 0],
['CCFull', 'cloudCoverFull', 'Scene Cloud Cover', ogr.OFTReal, 0],
['CCLand', 'CLOUD_COVER_LAND', 'Land Cloud Cover', ogr.OFTReal, 0],
['UL_Q_CCA', 'FULL_UL_QUAD_CCA', 'Cloud Cover Quadrant Upper Left', ogr.OFTReal, 0],
['UR_Q_CCA', 'FULL_UR_QUAD_CCA', 'Cloud Cover Quadrant Upper Right', ogr.OFTReal, 0],
['LL_Q_CCA', 'FULL_LL_QUAD_CCA', 'Cloud Cover Quadrant Lower Left', ogr.OFTReal, 0],
['LR_Q_CCA', 'FULL_LR_QUAD_CCA', 'Cloud Cover Quadrant Lower Right', ogr.OFTReal, 0],
['DT_L1', 'DATA_TYPE_L1', 'Data Type Level-1', ogr.OFTString, 0],
['DT_L0RP', 'DATA_TYPE_L0RP', 'Data Type Level 0Rp', ogr.OFTString, 0],
['L1_AVAIL', 'L1_AVAILABLE', 'L1 Available', ogr.OFTString, 0],
['IMAGE_QUAL', 'IMAGE_QUALITY', 'Image Quality', ogr.OFTString, 0],
['dayOrNight', 'dayOrNight', 'Day/Night Indicator', ogr.OFTString, 0],
['sunEl', 'sunElevation', 'Sun Elevation L1', ogr.OFTReal, 0],
['sunAz', 'sunAzimuth', 'Sun Azimuth L1', ogr.OFTReal, 0],
['StartTime', 'sceneStartTime', 'Start Time', ogr.OFTDate, 0],
['StopTime', 'sceneStopTime', 'Stop Time', ogr.OFTDate, 0],
['UTM_ZONE', 'UTM_ZONE', 'UTM Zone', ogr.OFTInteger, 0],
['DATUM', 'DATUM', 'Datum', ogr.OFTString, 0],
['ELEVSOURCE', 'ELEVATION_SOURCE', 'Elevation Source', ogr.OFTString, 0],
['ELLIPSOID', 'ELLIPSOID', 'Ellipsoid', ogr.OFTString, 0],
['PROJ_L1', 'MAP_PROJECTION_L1', 'Map Projection Level-1', ogr.OFTString, 0],
['PROJ_L0RA', 'MAP_PROJECTION_L0RA', 'Map Projection L0Ra', ogr.OFTString, 0],
['ORIENT', 'ORIENTATION', 'Orientation', ogr.OFTString, 0],
['EPHEM_TYPE', 'EPHEMERIS_TYPE', 'Ephemeris Type', ogr.OFTString, 0],
['CPS_MODEL', 'GROUND_CONTROL_POINTS_MODEL', 'Ground Control Points Model', ogr.OFTInteger, 0],
['GCPSVERIFY', 'GROUND_CONTROL_POINTS_VERIFY', 'Ground Control Points Version', ogr.OFTInteger, 0],
['RMSE_MODEL', 'GEOMETRIC_RMSE_MODEL', 'Geometric RMSE Model (meters)', ogr.OFTReal, 0],
['RMSE_X', 'GEOMETRIC_RMSE_MODEL_X', 'Geometric RMSE Model X', ogr.OFTReal, 0],
['RMSE_Y', 'GEOMETRIC_RMSE_MODEL_Y', 'Geometric RMSE Model Y', ogr.OFTReal, 0],
['RMSEVERIFY', 'GEOMETRIC_RMSE_VERIFY', 'Geometric RMSE Verify', ogr.OFTReal, 0],
['FORMAT', 'OUTPUT_FORMAT', 'Output Format', ogr.OFTString, 0],
['RESAMP_OPT', 'RESAMPLING_OPTION', 'Resampling Option', ogr.OFTString, 0],
['LINES', 'REFLECTIVE_LINES', 'Reflective Lines', ogr.OFTInteger, 0],
['SAMPLES', 'REFLECTIVE_SAMPLES', 'Reflective Samples', ogr.OFTInteger, 0],
['TH_LINES', 'THERMAL_LINES', 'Thermal Lines', ogr.OFTInteger, 0],
['TH_SAMPLES', 'THERMAL_SAMPLES', 'Thermal Samples', ogr.OFTInteger, 0],
['PAN_LINES', 'PANCHROMATIC_LINES', 'Panchromatic Lines', ogr.OFTInteger, 0],
['PANSAMPLES', 'PANCHROMATIC_SAMPLES', 'Panchromatic Samples', ogr.OFTInteger, 0],
['GC_SIZE_R', 'GRID_CELL_SIZE_REFLECTIVE', 'Grid Cell Size Reflective', ogr.OFTInteger, 0],
['GC_SIZE_TH', 'GRID_CELL_SIZE_THERMAL', 'Grid Cell Size Thermal', ogr.OFTInteger, 0],
['GCSIZE_PAN', 'GRID_CELL_SIZE_PANCHROMATIC', 'Grid Cell Size Panchromatic', ogr.OFTInteger, 0],
['PROCSOFTVE', 'PROCESSING_SOFTWARE_VERSION', 'Processing Software Version', ogr.OFTString, 0],
['CPF_NAME', 'CPF_NAME', 'Calibration Parameter File', ogr.OFTString, 0],
['DATEL1_GEN', 'DATE_L1_GENERATED', 'Date L-1 Generated', ogr.OFTString, 0],
['GCP_Ver', 'GROUND_CONTROL_POINTS_VERSION', 'Ground Control Points Version', ogr.OFTInteger, 0],
['DatasetID', 'DatasetID', 'Dataset Identifier', ogr.OFTString, 0],
['CollectCat', 'COLLECTION_CATEGORY', 'Collection Category', ogr.OFTString, 0],
['CollectNum', 'COLLECTION_NUMBER', 'Collection Number', ogr.OFTString, 0],
['flightPath', 'flightPath', 'flightPath', ogr.OFTString, 0],
['RecStation', 'receivingStation', 'Station Identifier', ogr.OFTString, 0],
['imageQual1', 'imageQuality1', 'Image Quality 1', ogr.OFTString, 0],
['imageQual2', 'imageQuality2', 'Image Quality 2', ogr.OFTString, 0],
['gainBand1', 'gainBand1', 'Gain Band 1', ogr.OFTString, 0],
['gainBand2', 'gainBand2', 'Gain Band 2', ogr.OFTString, 0],
['gainBand3', 'gainBand3', 'Gain Band 3', ogr.OFTString, 0],
['gainBand4', 'gainBand4', 'Gain Band 4', ogr.OFTString, 0],
['gainBand5', 'gainBand5', 'Gain Band 5', ogr.OFTString, 0],
['gainBand6H', 'gainBand6H', 'Gain Band 6H', ogr.OFTString, 0],
['gainBand6L', 'gainBand6L', 'Gain Band 6L', ogr.OFTString, 0],
['gainBand7', 'gainBand7', 'Gain Band 7', ogr.OFTString, 0],
['gainBand8', 'gainBand8', 'Gain Band 8', ogr.OFTString, 0],
['GainChange', 'GainChange', 'Gain Change', ogr.OFTString, 0],
['GCBand1', 'gainChangeBand1', 'Gain Change Band 1', ogr.OFTString, 0],
['GCBand2', 'gainChangeBand2', 'Gain Change Band 2', ogr.OFTString, 0],
['GCBand3', 'gainChangeBand3', 'Gain Change Band 3', ogr.OFTString, 0],
['GCBand4', 'gainChangeBand4', 'Gain Change Band 4', ogr.OFTString, 0],
['GCBand5', 'gainChangeBand5', 'Gain Change Band 5', ogr.OFTString, 0],
['GCBand6H', 'gainChangeBand6H', 'Gain Change Band 6H', ogr.OFTString, 0],
['GCBand6L', 'gainChangeBand6L', 'Gain Change Band 6L', ogr.OFTString, 0],
['GCBand7', 'gainChangeBand7', 'Gain Change Band 7', ogr.OFTString, 0],
['GCBand8', 'gainChangeBand8', 'Gain Change Band 8', ogr.OFTString, 0],
['SCAN_GAP_I', 'SCAN_GAP_INTERPOLATION', 'Scan Gap Interpolation', ogr.OFTInteger, 0],
['ROLL_ANGLE', 'ROLL_ANGLE', 'Roll Angle', ogr.OFTReal, 0],
['FULL_PART', 'FULL_PARTIAL_SCENE', 'Full Partial Scene', ogr.OFTString, 0],
['NADIR_OFFN', 'NADIR_OFFNADIR', 'Nadir/Off Nadir', ogr.OFTString, 0],
['RLUT_FNAME', 'RLUT_FILE_NAME', 'RLUT File Name', ogr.OFTString, 0],
['BPF_N_OLI', 'BPF_NAME_OLI', 'Bias Parameter File Name OLI', ogr.OFTString, 0],
['BPF_N_TIRS', 'BPF_NAME_TIRS', 'Bias Parameter File Name TIRS', ogr.OFTString, 0],
['TIRS_SSM', 'TIRS_SSM_MODEL', 'TIRS SSM Model', ogr.OFTString, 0],
['TargetPath', 'Target_WRS_Path', 'Target WRS Path', ogr.OFTInteger, 0],
['TargetRow', 'Target_WRS_Row', 'Target WRS Row', ogr.OFTInteger, 0],
['DataAnom', 'data_anomaly', 'Data Anomaly', ogr.OFTString, 0],
['GapPSource', 'gap_phase_source', 'Gap Phase Source', ogr.OFTString, 0],
['GapPStat', 'gap_phase_statistic', 'Gap Phase Statistic', ogr.OFTReal, 0],
['L7SLConoff', 'scan_line_corrector', 'Scan Line Corrector', ogr.OFTString, 0],
['SensorAnom', 'sensor_anomalies', 'Sensor Anomalies', ogr.OFTString, 0],
['SensorMode', 'sensor_mode', 'Sensor Mode', ogr.OFTString, 0],
['browse', 'browseAvailable', 'Browse Available', ogr.OFTString, 0],
['browseURL', 'browseURL', 'browseUrl', ogr.OFTString, 0],
['MetadatUrl', 'metadataUrl', 'metadataUrl', ogr.OFTString, 0],
['FGDCMetdat', 'fgdcMetadataUrl', 'fgdcMetadataUrl', ogr.OFTString, 0],
['dataAccess', 'dataAccess', 'dataAccessUrl', ogr.OFTString, 0],
['orderUrl', 'orderUrl', 'orderUrl', ogr.OFTString, 0],
['DownldUrl', 'downloadUrl', 'downloadUrl', ogr.OFTString, 0]]
queryfieldnames = []
fnames = []
#tagvals = []
#tags = []
for element in fieldvaluelist:
fnames.append(element[0])
queryfieldnames.append(element[2])
# tagvals.append([element[1], element[3], element[4]])
# tags.append(element[1])
if not os.access(shapefile, os.F_OK):
# Create Shapefile
data_source = driver.CreateDataSource(shapefile)
layer = data_source.CreateLayer(layername, target, ogr.wkbPolygon)
for element in fieldvaluelist:
field_name = ogr.FieldDefn(element[0], element[3])
if element[4] > 0:
field_name.SetWidth(element[4])
layer.CreateField(field_name)
layer.CreateField(ogr.FieldDefn('MaskType', ogr.OFTString)) # 'Fmask' or 'Pixel_QA'
layer.CreateField(ogr.FieldDefn('Thumb_JPG', ogr.OFTString))
layer.CreateField(ogr.FieldDefn('SR_path', ogr.OFTString))
layer.CreateField(ogr.FieldDefn('BT_path', ogr.OFTString))
layer.CreateField(ogr.FieldDefn('Fmask_path', ogr.OFTString))
layer.CreateField(ogr.FieldDefn('PixQA_path', ogr.OFTString))
layer.CreateField(ogr.FieldDefn('NDVI_path', ogr.OFTString))
layer.CreateField(ogr.FieldDefn('EVI_path', ogr.OFTString))
spatialRef = ieo.prj
spatialRef.MorphToESRI()
with open(shapefile.replace('.shp', '.prj'), 'w') as output:
output.write(spatialRef.ExportToWkt())
else:
shpfnames = []
# Open existing shapefile with write access
data_source = driver.Open(shapefile, 1)
layer = data_source.GetLayer()
layerDefinition = layer.GetLayerDefn()
# Get list of field names
for i in range(layerDefinition.GetFieldCount()):
shpfnames.append(layerDefinition.GetFieldDefn(i).GetName())
# Find missing fields and create them
for fname in fnames:
if not fname in shpfnames:
i = fnames.index(fname)
field_name = ogr.FieldDefn(fnames[i], fieldvaluelist[i][3])
if fieldvaluelist[i][4] > 0:
field_name.SetWidth(fieldvaluelist[i][4])
layer.CreateField(field_name)
# Iterate through features and fetch sceneID values
for feature in layer:
scenelist.append(feature.GetField("sceneID"))
fielddict = {'BT_path' : {'ext' : '_BT_{}.dat'.format(ieo.projacronym), 'dirname' : ieo.btdir},
'Fmask_path' : {'ext' : '_cfmask.dat', 'dirname' : ieo.fmaskdir},
'PixQA_path' : {'ext' : '_pixel_qa.dat', 'dirname' : ieo.pixelqadir},
'NDVI_path' : {'ext' : '_NDVI.dat', 'dirname' : ieo.ndvidir},
'EVI_path' : {'ext' : '_EVI.dat', 'dirname' : ieo.evidir}}
thumbnails = []
scenes = []
filenum = 1
# get apiKey for USGS EarthExplorer query
apiKey = getapiKey()
# run query
scenedict = scenesearch(apiKey, scenelist)
sceneIDs = scenedict.keys()
print('Total scenes to be added to shapefile: {}'.format(len(sceneIDs)))
#numfiles = len(xmls)
#xmldict = {}
# Download XML files from USGS/EROS
#if not localxmls:
# print(dlxmls(args.startdate, args.enddate, xmls, ingestdir))
# Parse XML files
#for xml in xmls:
# print('Processing {}, file number {} of {}.'.format(xml, filenum, numfiles))
# xmlfile = os.path.join(ingestdir, xml)
# tree = ET.parse(xmlfile)
# root = tree.getroot()
## headervals = []
## for i in range(len(root[1])):
## j = root[1][i].tag.find('}') + 1
## if not root[1][i].tag[j:] in polycoords:
## headervals.append(root[1][i].tag[j:])
#
# numnodes = len(root)
# for i in range(numnodes):
# tdict = {} # Version 1.1.1: Now uses a dict rather than absolute position in XML node for fields and values
# for j in range(len(root[i])):
# k = root[i][j].tag.find('}') + 1
# tagname = root[i][j].tag[k:]
# if not tagname in polycoords:
# fname = fnames[tags.index(tagname)]
# tdict[fname] = root[i][j].text
# elif tagname in polycoords:
# tdict[tagname] = root[i][j].text
# else:
# print('ERROR: Discovered previously unused XML tag {}, logging to error file: '.format(tagname, errorfile))
# ieo.logerror(xml, 'Unused XML tag: {}'.format(tagname), errorfile = errorfile)
# errorsfound = True
#
# sys.stderr.write('\rProcessing node {} of {}.'.format(i + 1, numnodes))
# if len(root[i]) > 10:
# sceneID = tdict['sceneID']
# xmldict[sceneID] = tdict
#
# # Add thumbnail URL to download list
# if not sceneID in scenelist:
if len(sceneIDs) > 0:
for sceneID in sceneIDs:
print('Processing {}, scene number {} of {}.'.format(sceneID, filenum, len(sceneIDs)))
scenedict = findlocalfiles(sceneID, fielddict, scenedict)
if scenedict[sceneID]['browseUrl'].endswith('.jpg'):
dlurl = scenedict[sceneID]['browseUrl']
thumbnails.append(scenedict[sceneID]['browseUrl'])
print('\nAdding {} to shapefile.'.format(sceneID))
scenelist.append(sceneID)
# Determine polygon coordinates in Lat/ Lon WGS-84
coords = scenedict[sceneID]['coords']
'''[
[float(tdict['upperLeftCornerLongitude']), float(tdict['upperLeftCornerLatitude'])],
[float(tdict['upperRightCornerLongitude']), float(tdict['upperRightCornerLatitude'])],
[float(tdict['lowerRightCornerLongitude']), float(tdict['lowerRightCornerLatitude'])],
[float(tdict['lowerLeftCornerLongitude']), float(tdict['lowerLeftCornerLatitude'])], [float(tdict['upperLeftCornerLongitude']), float(tdict['upperLeftCornerLatitude'])]] '''
# create the feature
feature = ogr.Feature(layer.GetLayerDefn())
# Add field attributes from XML
# for k in range(len(root[i])):
# if root[i][k].tag[j:] in headervals:
# m = tags.index(root[i][k].tag[j:])
# feature.SetField(root[i][k].tag[j:], root[i][k].text)
feature.SetField('sceneID', sceneID)
for key in scenedict[sceneID].keys():
# print('key = {}, type = {}, value = '.format(key, type(scenedict[sceneID][key])))
# print(scenedict[sceneID][key])
if (scenedict[sceneID][key]) and key in queryfieldnames:
#print('key = {}, type = {}.'.format(key, type(scenedict[sceneID][key])))
try:
if fieldvaluelist[queryfieldnames.index(key)][3] == ogr.OFTDate:
feature.SetField(fnames[queryfieldnames.index(key)], scenedict[sceneID][key].year, scenedict[sceneID][key].month, scenedict[sceneID][key].day, scenedict[sceneID][key].hour, scenedict[sceneID][key].minute, scenedict[sceneID][key].second, 100)
else:
feature.SetField(fnames[queryfieldnames.index(key)], scenedict[sceneID][key])
except Exception as e:
print('Error with SceneID {}, fieldname = {}, value = {}: {}'.format(sceneID, fnames[queryfieldnames.index(key)], scenedict[sceneID][key], e))
ieo.logerror(key, e, errorfile = errorfile)
basename = os.path.basename(dlurl)
jpg = os.path.join(jpgdir, basename)
if not os.access(jpg, os.F_OK) and args.thumbnails:
try:
response = dlthumb(dlurl, jpgdir)
if response == 'Success!':
geom = feature.GetGeometryRef()
print('Creating world file.')
makeworldfile(jpg, geom)
print('Migrating world and projection files to new directory.')
jpw = jpg.replace('.jpg', '.jpw')
prj = jpg.replace('.jpg', '.prj')
else:
print('Error with sceneID or filename, adding to error list.')
ieo.logerror(sceneID, response, errorfile = errorfile)
errorsfound = True
if os.access(jpg, os.F_OK):
feature.SetField('Thumb_JPG', jpg)
# for key in scenedict[sceneID].keys():
# if scenedict[sceneID][key]:
# feature.SetField(fnames[queryfieldnames.index(key)], scenedict[sceneID][key])
layer.SetFeature(feature)
except Exception as e:
print(e)
ieo.logerror(os.path.basename(jpg), e, errorfile = errorfile)
errorsfound = True
# Create ring
ring = ogr.Geometry(ogr.wkbLinearRing)
for coord in coords:
ring.AddPoint(coord[0], coord[1])
# Create polygon
poly = ogr.Geometry(ogr.wkbPolygon)
poly.AddGeometry(ring)
poly.Transform(transform) # Convert to local projection
feature.SetGeometry(poly)
layer.CreateFeature(feature)
feature.Destroy()
print('\n')
filenum += 1
# Update metadata in shapefile
#layer_defn = layer.GetLayerDefn()
#field_names = [layer_defn.GetFieldDefn(i).GetName() for i in range(layer_defn.GetFieldCount())]
#
#for field in addfields: #Add any missing fields
# if not field in field_names:
# new_field = ogr.FieldDefn(field, ogr.OFTString)
# layer.CreateField(new_field)
#for feature in layer:
## updatingfeature = False
# sceneID = feature.GetField("sceneID")
# scenedict = findlocalfiles(sceneID, fielddict, scenedict)
# dlurl = feature.GetField("browseURL")
# if dlurl:
# print('Processing scene {}.'.format(sceneID))
# basename = os.path.basename(dlurl)
# jpg = os.path.join(jpgdir, basename)
## for fname in fnames:
## if feature.GetField(fname) != xmldict[sceneID][fname]:
## print('Updating metadata for sceneID {}, field {}: {}'.format(sceneID, fname, xmldict[sceneID][fname]))
## feature.Setfield(fname, xmldict[sceneID][fname])
#
# if os.path.isfile(jpg) and jpg != feature.GetField(addfields[0]):
# print('Updating metadata for sceneID {}, field {}: {}'.format(sceneID, jpg, addfields[0]))
# feature.SetField(jpg, addfields[0])
# updatingfeature = True
# for key in scenedict[sceneID].keys():
# if scenedict[sceneID][key] and scenedict[sceneID][key] != feature.GetField(fnames[queryfieldnames.index(key)]):
# feature.SetField(fnames[queryfieldnames.index(key)], scenedict[sceneID][key])
# updatingfeature = True
# if updatingfeature:
# layer.SetFeature(feature)
data_source = None
if errorsfound:
print('Errors were found during script execution. please see the error log file for details: {}'.format(errorfile))
print('Processing complete.')
'''
old code
queryfieldnames = ['Landsat Product Identifier',
'Landsat Scene Identifier',
'Acquisition Date',
'Collection Category',
'Collection Number',
'WRS Path',
'WRS Row',
'Target WRS Path',
'Target WRS Row',
'Nadir/Off Nadir',
'Roll Angle',
'Date L-1 Generated',
'Start Time',
'Stop Time',
'Station Identifier',
'Day/Night Indicator',
'Land Cloud Cover',
'Scene Cloud Cover',
'Ground Control Points Model',
'Ground Control Points Version',
'Geometric RMSE Model (meters)',
'Geometric RMSE Model X',
'Geometric RMSE Model Y',
'Image Quality',
'Processing Software Version',
'Sun Elevation L1',
'Sun Azimuth L1',
'TIRS SSM Model',
'Data Type Level-1',
'Sensor Identifier',
'Panchromatic Lines',
'Panchromatic Samples',
'Reflective Lines',
'Reflective Samples',
'Thermal Lines',
'Thermal Samples',
'Map Projection Level-1',
'UTM Zone',
'Datum',
'Ellipsoid',
'Grid Cell Size Panchromatic',
'Grid Cell Size Reflective',
'Grid Cell Size Thermal',
'Bias Parameter File Name OLI',
'Bias Parameter File Name TIRS',
'Calibration Parameter File',
'RLUT File Name',
'Center Latitude',
'Center Longitude',
'UL Corner Lat',
'UL Corner Long',
'UR Corner Lat',
'UR Corner Long',
'LL Corner Lat',
'LL Corner Long',
'LR Corner Lat',
'LR Corner Long',
'Center Latitude dec',
'Center Longitude dec',
'UL Corner Lat dec',
'UL Corner Long dec',
'UR Corner Lat dec',
'UR Corner Long dec',
'LL Corner Lat dec',
'LL Corner Long dec',
'LR Corner Lat dec',
'LR Corner Long dec']
fnames = ['LandsatPID', 'sceneID', 'sensor', 'acqDate', 'Updated', 'path', 'row', 'CenterLat', 'CenterLong', 'CC', 'CCFull', 'UL_Q_CCA', 'UR_Q_CCA', 'LL_Q_CCA', 'LR_Q_CCA', 'dayOrNight', 'sunEl', 'sunAz', 'StartTime', 'StopTime', 'SN', 'DT_L1', 'cartURL', 'DT_L0RP', 'DATUM', 'ELEVSOURCE', 'ELLIPSOID', 'EPHEM_TYPE', 'CPS_MODEL', 'GCPSVERIFY', 'RMSE_MODEL', 'RMSE_X', 'RMSE_Y', 'RMSEVERIFY', 'GC_SIZE_R', 'GC_SIZE_TH', 'PROJ_L1', 'PROJ_L0RA', 'ORIENT', 'FORMAT', 'L1_AVAIL', 'LINES', 'SAMPLES', 'RESAMP_OPT', 'TH_LINES', 'TH_SAMPLES', 'UTM_ZONE', 'PROCSOFTVE', 'CPF_NAME', 'IMAGE_QUAL', 'DATEL1_GEN', 'GCP_Ver', 'CCLand', 'CollectCat', 'CollectNum', 'flightPath', 'RecStation', 'imageQual1', 'imageQual2', 'gainBand1', 'gainBand2', 'gainBand3', 'gainBand4', 'gainBand5', 'gainBand6H', 'gainBand6L', 'gainBand7', 'gainBand8', 'GCBand1', 'GCBand2', 'GCBand3', 'GCBand4', 'GCBand5', 'GCBand6H', 'GCBand6L', 'GCBand7', 'GCBand8', 'GCSIZE_PAN', 'PAN_LINES', 'PANSAMPLES', 'SCAN_GAP_I', 'ROLL_ANGLE', 'FULL_PART', 'NADIR_OFFN', 'RLUT_FNAME', 'BPF_N_OLI', 'BPF_N_TIRS', 'TIRS_SSM', 'browse', 'browseURL']
tagvals = [['LANDSAT_PRODUCT_ID', ogr.OFTString, 40],
['sceneID', ogr.OFTString, 21],
['sensor', ogr.OFTString, 0],
['acquisitionDate', ogr.OFTDate, 0],
['dateUpdated', ogr.OFTDate, 0],
['path', ogr.OFTInteger, 0],
['row', ogr.OFTInteger, 0],
['sceneCenterLatitude', ogr.OFTReal, 0],
['sceneCenterLongitude', ogr.OFTReal, 0],
['cloudCover', ogr.OFTInteger, 0],
['cloudCoverFull',ogr.OFTInteger, 0],
['FULL_UL_QUAD_CCA', ogr.OFTReal, 0],
['FULL_UR_QUAD_CCA', ogr.OFTReal, 0],
['FULL_LL_QUAD_CCA', ogr.OFTReal, 0],
['FULL_LR_QUAD_CCA', ogr.OFTReal, 0],
['dayOrNight', ogr.OFTString, 0],
['sunElevation', ogr.OFTReal, 0],
['sunAzimuth', ogr.OFTReal, 0],
['sceneStartTime', ogr.OFTString, 0],
['sceneStopTime', ogr.OFTString, 0],
['satelliteNumber', ogr.OFTString, 0],
['DATA_TYPE_L1', ogr.OFTString, 0],
['cartURL', ogr.OFTString, 0],
['DATA_TYPE_L0RP', ogr.OFTString, 0],
['DATUM', ogr.OFTString, 0],
['ELEVATION_SOURCE', ogr.OFTString, 0],
['ELLIPSOID', ogr.OFTString, 0],
['EPHEMERIS_TYPE', ogr.OFTString, 0],
['GROUND_CONTROL_POINTS_MODEL', ogr.OFTInteger, 0],
['GROUND_CONTROL_POINTS_VERIFY', ogr.OFTInteger, 0],
['GEOMETRIC_RMSE_MODEL', ogr.OFTReal, 0],
['GEOMETRIC_RMSE_MODEL_X', ogr.OFTReal, 0],
['GEOMETRIC_RMSE_MODEL_Y', ogr.OFTReal, 0],
['GEOMETRIC_RMSE_VERIFY', ogr.OFTReal, 0],
['GRID_CELL_SIZE_REFLECTIVE', ogr.OFTInteger, 0],
['GRID_CELL_SIZE_THERMAL', ogr.OFTInteger, 0],
['MAP_PROJECTION_L1', ogr.OFTString, 0],
['MAP_PROJECTION_L0RA', ogr.OFTString, 0],
['ORIENTATION', ogr.OFTString, 0],
['OUTPUT_FORMAT', ogr.OFTString, 0],
['L1_AVAILABLE', ogr.OFTString, 0],
['REFLECTIVE_LINES', ogr.OFTInteger, 0],
['REFLECTIVE_SAMPLES', ogr.OFTInteger, 0],
['RESAMPLING_OPTION', ogr.OFTString, 0],
['THERMAL_LINES', ogr.OFTInteger, 0],
['THERMAL_SAMPLES', ogr.OFTInteger, 0],
['UTM_ZONE', ogr.OFTInteger, 0],
['PROCESSING_SOFTWARE_VERSION', ogr.OFTString, 0],
['CPF_NAME', ogr.OFTString, 0],
['IMAGE_QUALITY', ogr.OFTInteger, 0],
['DATE_L1_GENERATED', ogr.OFTDate, 0],
['GROUND_CONTROL_POINTS_VERSION', ogr.OFTInteger, 0],
['CLOUD_COVER_LAND', ogr.OFTInteger, 0],
['COLLECTION_CATEGORY', ogr.OFTString, 0],
['COLLECTION_NUMBER', ogr.OFTInteger, 0],
['flightPath', ogr.OFTString, 0],
['receivingStation', ogr.OFTString, 0],
['imageQuality1', ogr.OFTString, 0],
['imageQuality2', ogr.OFTString, 0],
['gainBand1', ogr.OFTString, 0],
['gainBand2', ogr.OFTString, 0],
['gainBand3', ogr.OFTString, 0],
['gainBand4', ogr.OFTString, 0],
['gainBand5', ogr.OFTString, 0],
['gainBand6H', ogr.OFTString, 0],
['gainBand6L', ogr.OFTString, 0],
['gainBand7', ogr.OFTString, 0],
['gainBand8', ogr.OFTString, 0],
['gainChangeBand1', ogr.OFTString, 0],
['gainChangeBand2', ogr.OFTString, 0],
['gainChangeBand3', ogr.OFTString, 0],
['gainChangeBand4', ogr.OFTString, 0],
['gainChangeBand5', ogr.OFTString, 0],
['gainChangeBand6H', ogr.OFTString, 0],
['gainChangeBand6L', ogr.OFTString, 0],