falkamelung
commented
3 years ago process_flag = TRUE
frequency = 1
login = pegasus.ccs.miami.edu
user = famelung
####################
email_pysar = famelung@rsmas.miami.edu
email_insarmaps = famelung@rsmas.miami.edu
####################
every_day_flag = yes
processor = isce
cleanopt = 0
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit = 49
ssaraopt.parallel = 24
####################
topsStack.boundingBox = 25.8 27.6 63.0 68.0 # '-1 0.15 -91.6 -90.9'
topsStack.boundingBox = 25.7 28.1 63.0 68.0 # '-1 0.15 -91.6 -90.9'
topsStack.boundingBox = 25.45 28.1 63.0 68.0 # '-1 0.15 -91.6 -90.9'
topsStack.subswath = 1 2 # '1 2'
topsStack.numConnections = 4 # comment
topsStack.azimuthLooks = 14 # comment
topsStack.rangeLooks = 38 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
####################
mintpy.network.startDate = 20140712 # [20090101 / no], auto for no
mintpy.reference.lalo = auto
mintpy.troposphericDelay.method = auto # [pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.network.startDate = auto # [20090101 / no], auto for no
mintpy.networkInversion.parallel = no # [yes / no], auto for no, parallel processing
mintpy.networkInversion.walltime = 3:45
mintpy.geocode.latStep = 0.002 # [0.0-90.0 / None], auto for None, output resolution in degree
mintpy.geocode.lonStep = 0.002 # [0.0-180.0 / None], auto for None - calculate from lookup file
mintpy.save.hdfEos5 = yes # [yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format
mintpy.save.hdfEos5.update = no # [yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.kmz = yes # [yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
####################
insarmaps_flag = True
image_products_flag = False# Date RMS (m)
20141021 0.01790389
20141114 0.005342522
20141208 0.004075486
20150101 0.0055787135
20150125 0.0063547385
20150218 0.005393766
20150302 0.004245497
20150326 0.0074792877
20150513 0.008584776
20150606 0.009995277
20150630 0.008402219
20150724 0.014590426
20150817 0.013681187
20150910 0.0071432185
20151004 0.005446894
20151028 0.013946876
20151121 0.0048302184
20151215 0.0048969355
20160108 0.004070416
20160201 0.0027153026
20160225 0.00478384
20160320 0.0084051285
20160413 0.012101359
20160531 0.016718883
20160718 0.018604593
20160811 0.015888335
20160904 0.013567556
20160928 0.00659687
20161022 0.004485988
20161115 0.0029540323
20161209 0.006794642
20170102 0.006581399
20170126 0.009355162
20170219 0.007762215
20170303 0.0063031637
20170315 0.012958539
20170327 0.0120973205
20170408 0.0030292766
20170420 0.0054575354
20170502 0.013337273
20170514 0.009993337
20170526 0.0046025254
20170607 0.011574224
20170619 0.010100592
20170701 0.011786813
20170725 0.010036953
20170806 0.015224588
20170818 0.009564692
20170830 0.011450915
20170911 0.013120723
20171005 0.01390619
20171017 0.01169038
20171029 0.005868683
20171110 0.0054557063
20171204 0.004187024
20171216 0.004244572
20171228 0.0040839664
20180109 0.0075386423
20180121 0.0043987962
20180202 0.0036527414
20180214 0.0047102612
20180226 0.008374689
20180310 0.0060625467
20180322 0.0042049834
20180403 0.010573953
20180415 0.012586387
20180427 0.007976252
20180509 0.011768408
20180521 0.0034253993
20180614 0.012223345
20180626 0.012429728
20180708 0.012999965
20180720 0.011796746
20180801 0.0099553205
20180825 0.008030037
20180906 0.0076897824
20180918 0.0077710054
20180930 0.013675416
20181012 0.005830593
20181105 0.0037540784
20181129 0.004510699
20181211 0.0059654256
20181223 0.0054836967
20190104 0.007974879
20190128 0.006888844
20190209 0.007255415
20190221 0.008957094
20190305 0.008513829
20190317 0.0077334777
20190329 0.010424374
20190410 0.005486326
20190422 0.0067222496
20190504 0.006110656
20190516 0.015229385
20190528 0.016632514
20190609 0.011097652
20190621 0.023460682
20190703 0.01711356
20190715 0.012745611
20190727 0.014793625
20190808 0.027362714
20190820 0.014558613
20190901 0.016233444
20190913 0.008871975
20190925 0.009315584
20191007 0.010925909
20191019 0.005006125
20191031 0.016251858
20191112 0.007353148
20191124 0.005704607
20191206 0.00524834
20191218 0.0046716407
20191230 0.004114637
20200111 0.006737047
20200123 0.004958966
20200204 0.006382869
20200216 0.0029123565
20200228 0.009056831
20200311 0.0061870255
20200323 0.01338648
20200404 0.0071394485
20200416 0.008138433
20200428 0.015125012
It seems a
stackSentinel.pyproblem. If I run as in May 2020 without specifying a reference I get much less scenes than in May 2020 (second case)April 16 2020 Same problem git checkout 74f6473d4a164b899ebaef22eeb8ced5f73c644f
All dates (124) ['20141021', '20141114', '20141208', '20150101', '20150125', '20150218', '20150302', '20150326', '20150419', '20150513', '20150606', '20150630', '20150724', '20150817', '20150910', '20151004', '20151028', '20151121', '20151215', '20160108', '20160201', '20160225', '20160320', '20160413', '20160531', '20160718', '20160811', '20160904', '20160928', '20161022', '20161115', '20161209', '20170102', '20170126', '20170219', '20170303', '20170315', '20170327', '20170408', '20170420', '20170502', '20170514', '20170526', '20170607', '20170619', '20170701', '20170725', '20170806', '20170818', '20170830', '20170911', '20171005', '20171017', '20171029', '20171110', '20171204', '20171216', '20171228', '20180109', '20180121', '20180202', '20180214', '20180226', '20180310', '20180322', '20180403', '20180415', '20180427', '20180509', '20180521', '20180614', '20180626', '20180708', '20180720', '20180801', '20180825', '20180906', '20180918', '20180930', '20181012', '20181105', '20181129', '20181211', '20181223', '20190104', '20190128', '20190209', '20190221', '20190305', '20190317', '20190329', '20190410', '20190422', '20190504', '20190516', '20190528', '20190609', '20190621', '20190703', '20190715', '20190727', '20190808', '20190820', '20190901', '20190913', '20190925', '20191007', '20191019', '20191031', '20191112', '20191124', '20191206', '20191218', '20191230', '20200111', '20200123', '20200204', '20200216', '20200228', '20200311', '20200323', '20200404', '20200416', '20200428']
dates covering the bbox (75) ['20141021', '20141114', '20141208', '20150101', '20150125', '20150218', '20150302', '20150326', '20150513', '20150630', '20150817', '20151004', '20151121', '20151215', '20160108', '20160201', '20160225', '20160320', '20160413', '20160718', '20160904', '20161022', '20161209', '20170126', '20170303', '20170327', '20170420', '20170514', '20170607', '20170701', '20170806', '20170830', '20171005', '20171029', '20171204', '20171228', '20180121', '20180214', '20180310', '20180403', '20180427', '20180521', '20180626', '20180720', '20180825', '20180918', '20181012', '20181129', '20181223', '20190128', '20190221', '20190317', '20190410', '20190504', '20190528', '20190621', '20190715', '20190808', '20190901', '20190925', '20191019', '20191112', '20191206', '20191218', '20191230', '20200111', '20200123', '20200204', '20200216', '20200228', '20200311', '20200323', '20200404', '20200416', '20200428']
The master date was not chosen. The first date is considered as master date.
All SLCs will be coregistered to : 20141021 slave dates : ['20141114', '20141208', '20150101', '20150125', '20150218', '20150302', '20150326', '20150513', '20150630', '20150817', '20151004', '20151121', '20151215', '20160108', '20160201', '20160225', '20160320', '20160413', '20160718', '20160904', '20161022', '20161209', '20170126', '20170303', '20170327', '20170420', '20170514', '20170607', '20170701', '20170806', '20170830', '20171005', '20171029', '20171204', '20171228', '20180121', '20180214', '20180310', '20180403', '20180427', '20180521', '20180626', '20180720', '20180825', '20180918', '20181012', '20181129', '20181223', '20190128', '20190221', '20190317', '20190410', '20190504', '20190528', '20190621', '20190715', '20190808', '20190901', '20190925', '20191019', '20191112', '20191206', '20191218', '20191230', '20200111', '20200123', '20200204', '20200216', '20200228', '20200311', '20200323', '20200404', '20200416', '20200428']