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 At
SpecTIR, we strive to lead in the invention, development,
and manufacture of the remote sensing industries most
advanced hyperspectral sensors, products, processing,
analysis, and intelligence-driven exploitation. |
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Corporate
Information
> Partners
> Current Contract Vehicles
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About
Us
SpecTIR is a small, privately owned business with headquarters
in Reno, NV and another facility in Easton, MD. The company
was founded in 1993, and has advanced from the design
and production of hyperspectral instruments, to full remote
sensing collection and exploitation services. SpecTIR’s
staff consists of spectral scientists, project managers,
field and data collection personnel, and a data exploitation
group. The firm offers a full array of remote sensing
services, from the collection of airborne data, to the
processing and exploitation of virtually any airborne
or satellite imagery. |
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Core
Business
SpecTIR’s core business is providing high resolution
spatial and spectral products derived from remotely
sensed data. SpecTIR specializes in, but is not limited
to, the collection of airborne hyperspectral data, and
owns and operates VNIR and SWIR sensors. In addition,
SpecTIR has strategic alliances with firms that provide
on demand LiDAR (terrestrial and benthic), aerial photography,
IfSAR, and thermal data from airborne sensors. In addition,
the firm has a long tradition in the analysis of data
from satellite platforms, and has a great deal of experience
in the fusion of airborne and spaceborne imagery.
The benefit of the multi-sensor approach includes a
greater insight into the spectral and spatial content
of a scene that is often not possible from single sources
of imagery. Equally important, the spatial accuracy
of the imagery products conforms to accepted international
mapping standards, and can be seamlessly incorporated
into commonly used analysis packages.
The most important advantage that SpecTIR offers its
clients is the expertise in the production of high quality
data sets. This process begins with client consultation
to determine the most cost effective technology; and
continues through collection and analysis methodology;
as well as data product generation and formatting. This
process is characterized through:
• Client-driven protocols for the planning of
missions
• Sensor, platform and field resource identification
• Collection planning, allocation, and acquisition
driven by end product requirements
• Processing of data sets to industry standard
levels
• Fusion of imagery from multiple sensors
• Analysis of the multiple data sets
• Generation of products and thematic maps that
conform to mapping industry standards, and can be incorporated
into pre-existing geodatabase or delivered as a functional
GIS
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