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openSEPPO to search NISAR Data and process GCOV Products

Author: Josef Kellndorfer

This example shows the use of openSEPPO tools to search and convert NISAR stacks to COGs, GTiff or simply subset to h5.

For full documentation see https://openseppo.readthedocs.io

import os
from  openseppo.cli import nisar_search, nisar_gcov_convert

1. Data Search

Search available data at a point

LON = -71
LAT = 46
cmd = f'seppo_nisar_search --point {LON} {LAT} --group --https'
print(cmd)

seppo_nisar_search --point -71 46 --group --https

nisar_search._main(cmd)

=== Track: 003 | Direction: A | Frame: 025 ===
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_010_003_A_025_4005_DHDH_A_20260109T093537_20260109T093600_X05010_N_P_J_001/NISAR_L2_PR_GCOV_010_003_A_025_4005_DHDH_A_20260109T093537_20260109T093600_X05010_N_P_J_001.h5

=== Track: 069 | Direction: D | Frame: 065 ===
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_003_069_D_065_4005_DHDH_A_20251021T235042_20251021T235117_X05009_N_F_J_001/NISAR_L2_PR_GCOV_003_069_D_065_4005_DHDH_A_20251021T235042_20251021T235117_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_004_069_D_065_4005_DHDH_A_20251102T235042_20251102T235117_X05010_N_F_J_001/NISAR_L2_PR_GCOV_004_069_D_065_4005_DHDH_A_20251102T235042_20251102T235117_X05010_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_005_069_D_065_4005_DHDH_A_20251114T235043_20251114T235118_X05009_N_F_J_001/NISAR_L2_PR_GCOV_005_069_D_065_4005_DHDH_A_20251114T235043_20251114T235118_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_006_069_D_065_4005_DHDH_A_20251126T235043_20251126T235118_X05009_N_F_J_001/NISAR_L2_PR_GCOV_006_069_D_065_4005_DHDH_A_20251126T235043_20251126T235118_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_007_069_D_065_4005_DHDH_A_20251208T235044_20251208T235119_X05009_N_F_J_001/NISAR_L2_PR_GCOV_007_069_D_065_4005_DHDH_A_20251208T235044_20251208T235119_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_008_069_D_065_4005_DHDH_A_20251220T235044_20251220T235119_X05009_N_F_J_001/NISAR_L2_PR_GCOV_008_069_D_065_4005_DHDH_A_20251220T235044_20251220T235119_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_009_069_D_065_4005_DHDH_A_20260101T235045_20260101T235120_X05009_N_F_J_001/NISAR_L2_PR_GCOV_009_069_D_065_4005_DHDH_A_20260101T235045_20260101T235120_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_010_069_D_065_4005_DHDH_A_20260113T235045_20260113T235121_X05010_N_F_J_001/NISAR_L2_PR_GCOV_010_069_D_065_4005_DHDH_A_20260113T235045_20260113T235121_X05010_N_F_J_001.h5

=== Track: 104 | Direction: A | Frame: 025 ===
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001/NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001/NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001/NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001/NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001/NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001.h5

Let's pick track 104 frame 25 and generate a url list output

track = 104
frame = 25
out = f"{os.environ['HOME']}/search_result_httpurls.txt"
cmd = f"seppo_nisar_search --track {track} --frame {frame} --https -o {out}"
print(cmd)

seppo_nisar_search --track 104 --frame 25 --https -o /Users/josefk/search_result_httpurls.txt

nisar_search._main(cmd)

! cat $HOME/search_result_httpurls.txt

https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001/NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001/NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001/NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001/NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001.h5
https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001/NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001.h5

2. Data Inspection

The -lg|--list_grids picks the first url if a list is provided with the -i <URL_LIST flag. If you want to inspect a specific url, you can provide the url directly to the -i <URL> flag

cmd = f"seppo_nisar_gcov_convert -lg -i {out}"
print(cmd)

seppo_nisar_gcov_convert -lg -i /Users/josefk/search_result_httpurls.txt

nisar_gcov_convert._main(cmd)

---> Detected Earthdata HTTPS URL. Using Earthdata credentials.
Starting Batch Processing: 6 files.
Mode: pwr | Freq: A | Downscale: None
Inspecting file: https://nisar.asf.earthdatacloud.nasa.gov/NISAR/NISAR_L2_GCOV_BETA_V1/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001.h5



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Available Grids in HDF5:
  Frequency A:
    CRS: EPSG:32619
    Raster Size:  35640 x 35208 pixels (cols/rows)
    Resolution: X=10.00, Y=-10.00
    Extent (W,S,E,N): [76320.00, 4970160.00, 432720.00, 5322240.00]
    Footprint (Lon/Lat): (-74.2464, 47.0154), (-71.0728, 47.8317), (-70.0161, 45.7552), (-73.0886, 44.9675)
    Footprint (Native):  (101296.51, 5220242.55), (344882.17, 5299674.42), (420977.22, 5067346.43), (177568.95, 4987472.98)
    Frame Size:          Width: 256.19 km, Height: 244.71 km
    Variables: HHHH, HVHV, mask, numberOfLooks, rtcGammaToSigmaFactor
  Frequency B:
    CRS: EPSG:32619
    Raster Size:  4455 x 4401 pixels (cols/rows)
    Resolution: X=80.00, Y=-80.00
    Extent (W,S,E,N): [76320.00, 4970160.00, 432720.00, 5322240.00]
    Footprint (Lon/Lat): (-74.2464, 47.0154), (-71.0728, 47.8317), (-70.0161, 45.7552), (-73.0886, 44.9675)
    Footprint (Native):  (101296.51, 5220242.55), (344882.17, 5299674.42), (420977.22, 5067346.43), (177568.95, 4987472.98)
    Frame Size:          Width: 256.19 km, Height: 244.71 km
    Variables: HHHH, HVHV, mask, numberOfLooks, rtcGammaToSigmaFactor

Inspection Complete.

3. Data Processing

Lets pick a small subset to generate the time series for

We can do this - with --srcwin <XOFF> <YOFF> <XSIZE> <YSIZE> - with --projwin <ULX} <ULY> <LRX> <LRY> in the native EPSG Coordinates - with --projwin in Lon/Lat coordinates using -t_srs 4326. Optionally also set the target resolution e.g. -tr 0.0002 0.0002

We are interested in scaling the output to amplitude (-amp flag).

We also want to output the data on our s3:// bucket for direct streaming into QGIS later

Example lon/lat subset to local disk

projwin = "-72 46 -71.8 45.8"
tr= "0.0002 0.0002"
t_srs = 4326
scaling = "-amp"
verbose = "-v"
# Local output
output=f"{os.environ["HOME"]}/openSEPPO_testoutput{scaling}"
# S3 output
output=f"s3://seppo1-data/NISAR/openSEPPO_testoutput{scaling}"
cmd = f"seppo_nisar_gcov_convert -i {out} --projwin {projwin} -t_srs {t_srs} -tr {tr} -o {output} {scaling} {verbose}"
print(cmd)

seppo_nisar_gcov_convert -i /Users/josefk/search_result_httpurls.txt --projwin -72 46 -71.8 45.8 -t_srs 4326 -tr 0.0002 0.0002 -o s3://seppo1-data/NISAR/openSEPPO_testoutput-amp -amp -v

nisar_gcov_convert._main(cmd)

{'cache': None,
 'downscale': None,
 'dualpol_ratio': False,
 'fill_holes': False,
 'freq': 'A',
 'h5': ['/Users/josefk/search_result_httpurls.txt'],
 'input_profile': None,
 'keep_cached': False,
 'list_grids': False,
 'mode': 'AMP',
 'no_tap': False,
 'no_time_series': False,
 'no_vrt': False,
 'output': 's3://seppo1-data/NISAR/openSEPPO_testoutput-amp',
 'output_format': 'COG',
 'output_profile': None,
 'profile': None,
 'projwin': [-72.0, 46.0, -71.8, 45.8],
 'read_threads': 8,
 'rebuild_all_vrts': False,
 'rebuild_only': False,
 'resample': 'cubic',
 'show_vrts': False,
 'single_bands': True,
 'srcwin': None,
 'target_res': [0.0002, 0.0002],
 'target_srs': '4326',
 'use_earthdata': False,
 'vars': None,
 'verbose': True,
 'warp_threads': None}
---> Detected Earthdata HTTPS URL. Using Earthdata credentials.
Starting Batch Processing: 6 files.
Mode: AMP | Freq: A | Downscale: None
    [t] earthaccess login (cached token, expires 2026-04-29): instant
Batch Processing Started: 6 files.
No variables specified. Auto-detecting Covariance variables for Frequency A...



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  -> Selected: ['HHHH', 'HVHV']
--> Processing File: NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001.h5



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    [t] file open + metadata: 11.1s
    Date: 2025-11-05 | Grid: 10.0m (A) | Mode: h5py
    Reprojecting: EPSG:32619 -> 4326 (resample=cubic)
    Reprojection: expanded native projwin [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155]
    Slice (Map native): [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155] -> Pixels: 19052,22378,1638,2285
    Extracting 2 bands...



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    [t] data read (2x2285x1638, 29.9 MB): 38.9s
    Using explicit target resolution: 0.0002 x 0.0002
    Reprojecting 2 bands...
    Transforming: AMP (Mode: amp)
    Writing separate bands...
    [t] COG write (2 bands, 0.0 MB): 8.1s
    Generated Snapshot VRT: s3://seppo1-data/NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
    [OK] Complete (standard (all-bands) mode)
--> Processing File: NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001.h5



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    [t] file open + metadata: 10.2s
    Date: 2025-11-17 | Grid: 10.0m (A) | Mode: h5py
    Reprojecting: EPSG:32619 -> 4326 (resample=cubic)
    Reprojection: expanded native projwin [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155]
    Slice (Map native): [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155] -> Pixels: 19052,22378,1638,2285
    Extracting 2 bands...



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    [t] data read (2x2285x1638, 29.9 MB): 41.8s
    Using explicit target resolution: 0.0002 x 0.0002
    Reprojecting 2 bands...
    Transforming: AMP (Mode: amp)
    Writing separate bands...
    [t] COG write (2 bands, 0.0 MB): 1.9s
    Generated Snapshot VRT: s3://seppo1-data/NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
    [OK] Complete (standard (all-bands) mode)
--> Processing File: NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001.h5



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    [t] file open + metadata: 10.4s
    Date: 2025-11-29 | Grid: 10.0m (A) | Mode: h5py
    Reprojecting: EPSG:32619 -> 4326 (resample=cubic)
    Reprojection: expanded native projwin [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155]
    Slice (Map native): [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155] -> Pixels: 19052,22378,1638,2285
    Extracting 2 bands...



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    [t] data read (2x2285x1638, 29.9 MB): 36.1s
    Using explicit target resolution: 0.0002 x 0.0002
    Reprojecting 2 bands...
    Transforming: AMP (Mode: amp)
    Writing separate bands...
    [t] COG write (2 bands, 0.0 MB): 2.0s
    Generated Snapshot VRT: s3://seppo1-data/NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
    [OK] Complete (standard (all-bands) mode)
--> Processing File: NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001.h5



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    [t] file open + metadata: 10.5s
    Date: 2025-12-11 | Grid: 10.0m (A) | Mode: h5py
    Reprojecting: EPSG:32619 -> 4326 (resample=cubic)
    Reprojection: expanded native projwin [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155]
    Slice (Map native): [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155] -> Pixels: 19052,22378,1638,2285
    Extracting 2 bands...



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    [t] data read (2x2285x1638, 29.9 MB): 39.4s
    Using explicit target resolution: 0.0002 x 0.0002
    Reprojecting 2 bands...
    Transforming: AMP (Mode: amp)
    Writing separate bands...
    [t] COG write (2 bands, 0.0 MB): 1.7s
    Generated Snapshot VRT: s3://seppo1-data/NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
    [OK] Complete (standard (all-bands) mode)
--> Processing File: NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001.h5



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    [t] file open + metadata: 10.6s
    Date: 2025-12-23 | Grid: 10.0m (A) | Mode: h5py
    Reprojecting: EPSG:32619 -> 4326 (resample=cubic)
    Reprojection: expanded native projwin [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155]
    Slice (Map native): [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155] -> Pixels: 19052,22378,1638,2285
    Extracting 2 bands...



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    [t] data read (2x2285x1638, 29.9 MB): 40.6s
    Using explicit target resolution: 0.0002 x 0.0002
    Reprojecting 2 bands...
    Transforming: AMP (Mode: amp)
    Writing separate bands...
    [t] COG write (2 bands, 0.0 MB): 1.8s
    Generated Snapshot VRT: s3://seppo1-data/NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
    [OK] Complete (standard (all-bands) mode)
--> Processing File: NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001.h5



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    [t] file open + metadata: 10.5s
    Date: 2026-01-16 | Grid: 10.0m (A) | Mode: h5py
    Reprojecting: EPSG:32619 -> 4326 (resample=cubic)
    Reprojection: expanded native projwin [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155]
    Slice (Map native): [266840.3777043752, 5098454.079643565, 283222.42968315363, 5075609.598720155] -> Pixels: 19052,22378,1638,2285
    Extracting 2 bands...



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    [t] data read (2x2285x1638, 29.9 MB): 39.6s
    Using explicit target resolution: 0.0002 x 0.0002
    Reprojecting 2 bands...
    Transforming: AMP (Mode: amp)
    Writing separate bands...
    [t] COG write (2 bands, 0.0 MB): 7.9s
    Generated Snapshot VRT: s3://seppo1-data/NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001-EBD_A_hhhv_AMP.vrt
    [OK] Complete (standard (all-bands) mode)
Generating Time Series VRTs...
  --> VRT: NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T000000_20260116T235959_X05009_N_F_J_001-EBD_A_hh_AMP.vrt
  --> VRT: NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T000000_20260116T235959_X05009_N_F_J_001-EBD_A_hv_AMP.vrt

Batch Complete. Generated 2 Time Series VRTs.

Building per-track time series VRTs...
  build_track_vrts: 12 TIF files across 1 track(s).
    TS VRT (track 104/A): NISAR_L2_PR_GCOV_004-010_104_A_025_4005_DHDH_A_20251105T094341_20260116T094419-EBD_A_hh_AMP.vrt
    TS VRT (track 104/A): NISAR_L2_PR_GCOV_004-010_104_A_025_4005_DHDH_A_20251105T094341_20260116T094419-EBD_A_hv_AMP.vrt

Bucket: seppo1-data

Single dates:
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_004_104_A_025_4005_DHDH_A_20251105T094341_20251105T094416_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_005_104_A_025_4005_DHDH_A_20251117T094342_20251117T094417_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_006_104_A_025_4005_DHDH_A_20251129T094342_20251129T094417_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_007_104_A_025_4005_DHDH_A_20251211T094343_20251211T094418_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_008_104_A_025_4005_DHDH_A_20251223T094343_20251223T094418_X05009_N_F_J_001-EBD_A_hhhv_AMP.vrt
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_010_104_A_025_4005_DHDH_A_20260116T094344_20260116T094419_X05010_N_F_J_001-EBD_A_hhhv_AMP.vrt

Time series by track:
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_004-010_104_A_025_4005_DHDH_A_20251105T094341_20260116T094419-EBD_A_hh_AMP.vrt
NISAR/openSEPPO_testoutput-amp/NISAR_L2_PR_GCOV_004-010_104_A_025_4005_DHDH_A_20251105T094341_20260116T094419-EBD_A_hv_AMP.vrt

Runtime: 5m 48.26s

Display COGs in QGIS

To Display the converted data in QGIS simply choose the Protocol AWS s3 option, fill in bucket name and one of the VRTs object path from the final output. If you are interested in a simple Timeseries interactive click/plot tool, install from zip our Timeseries SAR plugin from https://github.com/EarthBigData/openSAR/code/QGIS/v3/plugins