Fig.: Satellite image time series from AVHRR sequences.
(courtesy DFD of DLR)
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Fig.: Satellite image time series from AVHRR sequences. (courtesy DFD of DLR) |
Frequently seamless 2D maps from satellite images and value-added products are not sufficient, changes over time have to be available too. Here rasdaman offers particular benefits: as time in rasdaman is just an additional dimension, all spatial access functions are available along time as well. Single frames easily merge into one seamless "data cube". Arbitrary slices (x/t, y/t, x/y) are supported as well as all other query language constructs.
An example. DFD of
DLR runs a rasdaman database of AVHRR, Radar, and other data.
The 3D data space already encompasses many thousands of images and is continuously being extended.
Free-of-charge access is possible through several interfaces:
via Web,
OGC WMS,
and OGC WCS.
The Figure shows a cutout extracted from this 3D database through a rasdaman query. Visualization has been done using the rView rasdaman front end.
Instead of weeks to request, gather, and compose data, interactive navigation and selection is possible now.
The flexible tiling mechanisms have been of particular importance for good performance - something no other system accomplishes today.