Hello,
I have been using Image Mosaic with mono band time series of data (eg
rainfalls, ndvi data), and it works well.
What I usually do is to reformat the each geotiff filename to
dataset_yyyymmdd.tif, create a shapefile with the time and location
columns. create the indexer.properties and timerex.properties with the
adequate inputs. Finally declare the ImageMosaic workspace and layer, and
activate the Time dimension.
It works very fine, and I can use WCS or WMS request to retrieve the data.
Now, I wanted to use the same technique with multi-band data, actually
landsat8 images.
- Each image works fine when I use them into a Geotiff workspace.
- The images are in UTM29N (epsg:32629)
- The indexer.properties is filled with this:
Levels=30.0,30.0
Heterogeneous=false
AbsolutePath=false
Name=landsat8
TypeName=landsat8
Caching=false
ExpandToRGB=false
LocationAttribute=location
TimeAttribute=ingestion
ElevationAttribute=elevation
SuggestedSPI=it.geosolutions.imageioimpl.plugins.tiff.TIFFImageReaderSpi
CheckAuxiliaryMetadata=false
LevelsNum=1
- The timeregex.properties is filled with this:
regex=[0-9]{8}
But, when I try to create the ImageMosaic, I receive this message:
"Could not list layers for this store, an error occurred retrieving them:
Failed to create reader from file:data/landsat8 and hints null"
It creates two files:
landsat8.fix
landsat8.properties
In my other time series, it was creating a .qix file, so I suppose
something is wrong.
I noticed, that if I put the number of bands (actually 7), in the LevelsNum
of the indexer.properties, it can pass the stage of the workspace creation,
but this trick is not even enough to allow the dimension of time in the
layer creation.
So my question is: Does image mosaic support time series of multi-band
images?
Best regards,
Michel
--------------------------------------------------------------------------------------------------------------------------
*Michel Le Page*
Institut de Recherche pour le Développement - Centre d’Études Spatiales de
la Biosphère
Toulouse, France
Cel +33 (0)6 52 86 29 38 Tel +33 (0)5 61 55 66 38
► Research Gate <http://www.researchgate.net/profile/Michel_Le_page/> ► ANR
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<http://osr-cesbio.ups-tlse.fr/Satirr> ► NEW:Drought Index
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