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On Wed, Mar 18, 2015 at 11:56 PM, Jody Garnett <jody.garnett@anonymised.com> 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)
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Jody Garnett
On 18 March 2015 at 15:55, Jody Garnett <jody.garnett@anonymised.com> 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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