its fo each pixel. It is not
> supported by simple viewers but should be read with ArcGIS.
>
>
> On 02/01/2012 03:31 AM, questions anon wrote:
>
>> no I quickly checked that!
>> myarray is:
>> [[ 16.15035553 16.14380074 16.15581551 ..., 18.06388149 18.08930
Was this problem solved?
I have tried both
dst_ds.GetRasterBand(1).WriteArray(myarray)
gdal.Band.WriteArray(dst_ds.GetRasterBand(1), myarray)
but my tiff still results in zeros.
Any feedback will be greatly appreciated.
On Fri, Oct 28, 2011 at 7:23 PM, Tom van der Putte wrote:
> Hi List,
>
> I'm
1:25 PM, Kyle Shannon wrote:
> Is 'myarray' full of zeros?
>
> /**
> *
> * Kyle Shannon
> * ksshan...@gmail.com
> *
> */
>
>
>
> On Tue, Jan 31, 2012 at 19:20, questions anon wrote:
>
>> thanks Frank, following your instructions wit
y)
I do not receive any error messages but the tiff produced are all just
zeros. Is there a step I am missing?
thanks
On Wed, Feb 1, 2012 at 12:07 PM, Frank Warmerdam wrote:
> On Tue, Jan 31, 2012 at 4:38 PM, questions anon
> wrote:
> > I need to output my numpy array as a raster s
I need to output my numpy array as a raster so that someone else can access
the data in ArcGIS. So basically the steps I need are:
read numpy array into gdal
convert to raster
use latitude and longitude and array size to set projection
I am really struggling with gdal because I can't seem to find
Can anyone get me started on a script that can -
-Open a shapefile
-Open many rasters
-Calculate the mean and standard deviation of those rasters within the
shapefile region, but is able to ignore areas of zeros or NoData
-Output the mean and standard deviation to a table
Otherwise any tu
Does anyone have a script using Python that can:
-Open a shapefile
-Open many rasters
-Calculate the mean and standard deviation of those rasters within the
shapefile region, but is able to ignore areas of zeros or NoData
-Output the mean and standard deviation to a table
Any help is greatly a
