Open cmarshak opened 1 year ago
The errors could be related to numpy, ISCE2 and the environment (maybe using the latest isce2 w/ python 3.10 would resolve this).
swapping to latest isce should only be done after verification there is no new issues introduced in the GUNW product.
@cmarshak @dbekaert I run the failed job locally. It looks like the water mask is the issue, the downloaded file has nodata over the whole scene. SRTM Water Body Data does not have the coverage over that area.
Coverage: https://www2.jpl.nasa.gov/srtm/images/SRTM_2-24-2016.gif
I see; so, Anchorage is too far North at ~61˚ latitude to generate a valid SRTM water mask for the iono correction. I was concerned why the dem staging didn't fail; forgot that SRTM has a slightly smaller area of coverage than the Copernicus DEM we are using. @dbekaert could you provide guidance as to what you would like for such a case for operational use?
Should we:
We should really know what the coverage is of all of our ancillaries and have this documented on our website. We should capture what ancillaries are required and for which the code should error out in case we go beyond.
For example:
We have established that GSSHHS is incorrect at higher latitudes and should be avoided. What are alternatives, and if we pick an alternative we should inspect and assess the quality of the watermask globally prior to its use. What is ASF team using as water mask @jhkennedy ?
Some guidance to make progress @cmarshak @mgovorcin :
Here's the blurb in our INSAR_GAMMA product guide describing the water masking approach for jobs:
If the water mask option is selected, the water mask is applied prior to phase unwrapping to exclude water pixels from the process. The water mask is generated using the GSHHG dataset. To compile the reference shapefile, the full-resolution L1 dataset (boundary between land and ocean) and L5 dataset (boundary between Antarctic ice and ocean) were combined. The L3 dataset (boundary between islands and the lakes they are within) was removed from the L2 dataset (boundary between lakes and land), and this combined dataset was removed from the combined L1/L5 dataset. The portion of the shapefile covering the scene is converted to a raster for inclusion in the phase unwrapping mask during InSAR processing. The GSHHG dataset was last updated in 2017, so there may be discrepancies where shorelines have changed. Visit our InSAR Water Masking Tutorial for more information about water masking.
Additional issues over Chile with the same error:
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'request_time': '2023-05-31T16:47:08+00:00',
'status_code': 'FAILED',
'user_id': 'cmarshak',
'name': 'Chile_54_GMAO_0531',
'job_parameters': {'compute_solid_earth_tide': True,
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This is no longer a water mask issue based on coverage. Below is where the frames are:
For comparison, here are the successful jobs (12/15 succeeded):
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@cmarshak it appears that issue comes from ionosphere computation swath by swath, where one swath is completely over the water and masked out. The iono fails over that swath IW3. Will try to see how to bypass this. The other issue might occur with merging the swaths afterwards
ionSwathBySwath mode is activated due to different Starting Range per Swath between reference and secondary scenes
TODO: need to modify compute_ionosphere step to work with nodata arrays. - SOLVED
@cmarshak @dbekaert ... I am thinking about quality layer for ionosphere, it could be the boolean array of the pixels used in the computation. This could give us an idea of how many pixels and their distribution are used in iono computation (aka constrains to plane fitting involved in filt_ion step).
Before proceeding, would like to hear your opinion on this. Would you like to have something like this in GUNW package next to iono layer?
Interesting to see what you think, how it would be used downstream in ts. Is the coherence of the ifg not a good marker too?
A binary layer would be small.
Describe the bug I submitted 15 frames over Anchorage AK. 5/15 failed during the iono step. Here is a sample log:
All the failed jobs are here: