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Smith's academic background is in
Geography; he
studied at Penn
State (B.Sc.), Wilkes University, and elsewhere, and
subsequently became licensed to practice as a Professional Land
Surveyor and
Professional
Engineer.He is
known for many contributions in the area of CAD, GIS, and
computer
science.Mr. Smith
was involved in one of the first large-scale, in-depth GIS analyses
of private landholdings east of the Mississippi, having written
custom software for extracting feature data and reprojecting
between different spatial reference systems.
As early as the 1980s, Mr. Smith
was involved in geospatial and environmental analysis, to include
the PG Energy Land Use Management Plan, which was a groundbreaking
effort to develop slope analysis, hydrology, wetlands, soil,
planning, zoning, land use, sensitive habitat and other analyses
for nearly 50,000 acres of pristine watershed lands and other
holdings across a 4-county area in Northeastern
Pennsylvania.At the
time, a majority of this data was unavailable and was entirely
developed inhouse, using custom databases and software developed
entirely by Mr. Smith.It was the largest study of its kind to be done
east of the Mississippi, and was far more detailed and thorough in
scope to any which had previously been performed, and remains a
significant and groundbreaking effort to this day, even considering
subsequent improvements to data availability, availability of
software, and improved processor and storage capabilities which
have been realized since that time.
Notable Federal
Projects
David Smith has recently served as the Chief Geospatial
Architect for the $700M US Environmental Protection Agency
Information Technology and Environmental Systems Engineering
(ITS-ESE) contract for Lockheed Martin, and also heads the Lockheed
Martin Geospatial Center of Excellence serving US Civilian
Agencies.In this role,
he has been intimately involved in assisting Agencies in
development and aligment of agencywide efforts with Federal
Enterprise Architecture (FEA), the Office of Management and Budget
Geospatial Line of Business effort, as well as CPIC and other work,
toward cross-cutting integration of geospatial technology along
with data marts, data warehouses, Extract-Transform-Load (ETL),
business intelligence, Identity and Access Management (IAM),
Service Oriented Architecture (SOA) and other technologies to
deliver robust geo-enabling of a wide variety of disparate data and
services, and to provide mapping and rich analytical and
visualization capabilities including High Performance Computing
(HPC).
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