Lets first run the same data using plotdata.py to see whether it produces the same.
horzvert_timeseries.py /media/volume/sdb/HDF5EOS/KarpathosSenD36/miaplpy_201410_202602/network_delaunay_4/geo_S1_desc_036_miaplpy_20141020_XXXXXXXX_N3583E02728_N3585E02712_N3565E02707_N3562E02724_filtDel4DS.he5 /media/volume/sdb/HDF5EOS/KarpathosSenA131/miaplpy_201410_202602/network_delaunay_4/geo_S1_asc_131_miaplpy_20141014_XXXXXXXX_N3562E02713_N3565E02728_N3585E02724_N3583E02707_filtDel4DS.he5 --ref-lalo 35.77467 27.18494
Here an example where we are getting too many pixels for the vert. Maybe this is correct and related to the geocoding spacing and interpolation.
http://149.165.154.65/data/HDF5EOS/Karpathos/miaplpy/overlay.html#/start/35.7729/27.1724/14.8448?startDataset=S1_asc_131_miaplpy_20141014_XXXXXXXX_N3562E02713_N3565E02728_N3585E02724_N3583E02707_filtDel4DS&minScale=-0.9&maxScale=0.9&startDate=20140904&endDate=20250913&pixelSize=6.7&contour=true
Lets first run the same data using plotdata.py to see whether it produces the same.
The horzvert command is: