Hello, I've put together an example of using NSDIC sea ice concentration
data with GDAL VRT.
In this Github readme I list two example data sets, one for the Northern
and one for the Southern hemisphere where the raw
binary NSDIC .bin files have accompanying VRT files:
https://github.com/mdsumner/
Mike,
I've tried the following snippet:
from osgeo import gdal, gdalnumeric
import numpy
ar = numpy.zeros( [128,4000,128], dtype = numpy.float32)
gdalnumeric.SaveArray(ar,'testenvi.bin','ENVI')
gdalnumeric.SaveArray(ar,'testtif.tif','GTiff')
And it runs in ~ 2 seconds on both GDAL 1.11 and trun
+1
Tamas
2015-07-17 12:09 GMT+02:00 Dmitry Baryshnikov :
> Hi,
>
> I finished the work on merging the GSoC2014 Geographical networks support
> in GDAL to trunk.
> The RFC (
> https://trac.osgeo.org/gdal/wiki/rfc48_geographical_networks_support) was
> corrected.
> The pull request (https://githu
Dmitry Baryshnikov gmail.com> writes:
>
> I think it's time to vote for adopt the RFC 48 Geographical networks
> support and to merge the pull request to the GDAL sources trunk.
> According to https://trac.osgeo.org/gdal/wiki/rfc1_pmc I start the vote
> and my +1 for adopt.
+1
-Jukka Rahko
Trent,
Thanks a lot for the quick answer. I am using the img files so, I guess
I will have to apply the offset correction. When using gdal_translate I
already use "gdal_translate -ot Float32 -unscale in_16bit.lbl
out_32bit.tif". I think the problem might be when I use gdal_translate
-of XYZ i
Hi - I'm having difficulties with warping or merging overlapping single
band gtiffs (where the input tifs bounding box overlap)
When using gdalwarp:
I achieve the desired output extent of both tifs however, the data range of
the output tif is 0 to 0 (min and max values are both 0).
It appears to
Dear GDAL Developers
I’m finding that when
saving a relatively small array (shape =
128,4000,128 ie 128 band x 4000 lines x
128 columns of float data = 256Mb total) to a ENVI file format using the call:
gdalnumeric.SaveArray(img,strf_out,'ENVI')
performance is extremely slow (~260 s
