clients. Other output options for LAS subsets include
selecting classification categories as well as filtering
by return value. Automatic mosaics of results are provided when clipping across multiple LiDAR datasets to
return a single LiDAR file.
End users can search and discover LiDAR data in
a catalog by performing simple or complex queries
based on metadata and spatial extents as well as
preview the results of queries in a thin client using
different styles.
Visions becoming Reality
Today's progressive organizations are using geospatial data as the underpinning for all decision
making. In many ways, those in the industry have
talked about GIS and geospatial data being this
decision-making foundation for many years. But
legacy technologies often made bringing this vision
to life rather difficult, especially for using complex
geospatial data in near-real time.
LiDAR is entering an era of enhanced use by many
organizations within multiple vertical sectors. Today's
data management and exploitation solutions must
allow organizations to fully leverage such complex
geospatial information to make smarter decisions—
whether for forestry, defense and intelligence or utilities managing corridors.
A LiDAR dataset has been RGB-encoded in 2-D
and 3-D.
Steve du Plessis is the Global Product Line executive,
Remote Sensing, at Intergraph;
e-mail: steve.duplessis@intergraph.com.
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