I would not use gdal for this particular task. I presume you have the band data
in a 2D numpy array. Then I’d get the 80th percentile for example with
np.percentile() and use a boolean expression to generate a mask for the array
(droneraster > perc80value ).
Chris
--
Christine (Chris) Wa
> On Jan 31, 2017, at 7:46 AM,
> niels.vonfestenberg-packisch@rohde-schwarz.com wrote:
>
> Hi all,
> I would like to transform local cartesian coordinates into longitude and
> latitude. According to all the documentation I could find, I tried doing this
> (in C++, specifying a center fo
,
but that seems not so likely. Still, also EPSG:32232, which uses WGS 72. If you
have rally old data it might be that.
In any event, I’d advise inspecting the output of gdalinfo for both your target
and your 2006 version.
Chris
--
Christine (Chris) Waigl - cwa...@alaska.edu - +1-907-474
