  We introduce an approach to semantically represent and query raster data in a
Semantic Web graph. We extend the GeoSPARQL vocabulary and query language to
support raster data as a new type of geospatial data. We define new filter
functions and illustrate our approach using several use cases on real-world
data sets. Finally, we describe a prototypical implementation and validate the
feasibility of our approach.
