Jody,
random answer... don't believe we are familiar with this issue, so the
usual drill applies, open a ticket,
make it reproducible by adding data, style and request, if you can, add you
own analysis of the issue or do a pull request
Cheers
Andrea
On Wed, Mar 18, 2015 at 11:56 PM, Jody Garnett <[email protected]>
wrote:
> Random troubles (not sure if these are a bug to report or user error):
>
> * Setting transparency color to #000000 fails to render (error rendering
> coverage on the fast path). I assume this works for RGB image and I am
> getting in trouble for combining #0000000 (with a byte for each band) and
> my original data that has a float.
>
> * Error rendering coverage on the fast path*
> *java.lang.IllegalStateException: Unsupported data type.*
> *Unsupported data type.*
> *Details:*
> *org.geoserver.platform.ServiceException: Error rendering coverage on the
> fast path*
> * at
> org.geoserver.wms.map.RenderedImageMapOutputFormat.produceMap(RenderedImageMapOutputFormat.java:338)*
>
> --
> Jody Garnett
>
> On 18 March 2015 at 15:55, Jody Garnett <[email protected]> wrote:
>
>> I got myself in a tangle today working with LandSat 5 data - I know this
>> should be the easiest thing in the world right?
>>
>> RasterSymbolizer lets you select a number of channels (4,5,1 generally
>> match with RGB for a "true color" image). But here is where I run into
>> trouble - the data is in the range 0.0 to 1.1 (with -Infinite as NO_DATA).
>> I had hoped that setting this up in the geoserver layer definition, and
>> then using SLD to select out the bands would magically work.
>>
>> Ran into a couple problems:
>>
>> * In the resulting visual NO_DATA is not respected as transparent ..
>> tried also in a layer group
>> * I was not sure I need to transform the data from each band (remember
>> 0.0 - 1.0 float) to 0 to 256. We cannot do a colormap entry on each band
>> ... so I am a bit stuck.
>>
>> Exploring the problem with a single band (and color map) we can map no
>> data to a transparent color just fine - but this does not get me a full
>> color image :(
>>
>> Having a look at geometry transformations to see if we can stage a decent
>> RGB channel before letting SLD have a crack at it:
>>
>> * BandMerge lets me combine several bands into a resolution image
>> * Reclassify could be used to remap the 0.0f to 1.0f range to 0 to 256
>> integers expected by SLD
>>
>> Putting these two ideas together (as a geometry transformation) may work
>> - but I wanted to check before proceeding.
>>
>
>
>
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