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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