the shape 500x2. Is it somehow possible to create a
GDAL VRT that accesses the data as rows/columns/bands instead of
rows/bands/columns? If yes, how would I create such a VRT using the
Python API?
Best,
Daniel
--
Dr. Daniel Scheffler
Helmholtz Centre Potsdam
GFZ German Research Centre For G
with the DST_GEOLOC_ARRAY tranformer
option
gdal.Warp(target_ds, source_ds,
transformerOptions=["DST_METHOD=GEOLOC_ARRAY",
"DST_GEOLOC_ARRAY=/path/to/geoloc_dataset"], ... other options here ...)
Even
Le 16/05/2023 à 19:35, Daniel Scheffler a écrit :
Hi!
Some time ago,
/c92b22d02c99eae0152f49595947fb3747ddc280/autotest/gcore/geoloc.py#L396
But I am not quite sure if that is what I want. If so, how would a
Python implementation based on gdal.Warp look like? Is that documented
somewhere?
Best,
Daniel
Am 30.11.2021 um 14:20 schrieb Daniel Scheffler:
Ok thanks, too bad that
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M.Sc. Geogr. Daniel Scheffler
Helmholtz Centre Potsdam
GFZ German Research Centre For Geosciences
Department 1 - Geodesy and Remote Sensing
Section 1.4 - Remote Sensing
Telegr
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upcoming EnMAP hyperspectral satellite. Should I open a
feature request in the GDAL issue tracker on GitHub?
Am 30.11.2021 um 14:02 schrieb Even Rouault:
Le 30/11/2021 à 12:52, Daniel Scheffler a écrit :
Thanks a lot for taking the time, Even, I got the transformation from
cartesian to
alize input and output data
fig, axes = plt.subplots(1, 4)
for i, (arr, title) in enumerate(zip((swath_data, lons, lats,
data_mapgeo),
('swath data', 'lons', 'lats',
'projected data'))):
axes[i].imsho
enumerate(zip((swath_data, lons, lats,
data_mapgeo),
('swath data', 'lons', 'lats',
'projected data'))):
axes[i].imshow(arr, cmap='gray')
axes[i].set_title(title)
plt.tight_layout()
pl
