IEEE Geoscience and Remote Sensing Magazine - June 2014 - 90

Operations
Integration

Figure 3. The Army Research-to-Operations pipeline.

Engineering
Research

Enterprise Servers
Tactical Servers
Desktop/Laptops
Mounted Displays
Mobile Devices
Interface Specification
External Data Interfaces
Service Registration
Coupling Physical Models
External Research Integration
Model Design/Coding
Validation
Land Surface
Boundary Layer
Atmosphere
Terrain
Requirements

Model
Development

Enterprise
Integration

Mod
e
Scientific
Research

Interface Specification
External Data Interfaces
Service Registration

Product
Dissemination
Interoperation and
Adaption

Refine

Interfaces -
-
P
ls

cts
du
ro

unified test harness for thoroughly testing the algorithm
with both test data developed in house as well as that
provided by the Government GOES-R science team. AER
was responsible for the software development of over 60
algorithms totaling nearly 500,000 logical lines of software code. AER has successfully worked with the government software development team to develop software that
exactly (99.99% reproducibility) replicates the input/output test data provided by the government.

integrated end-to-end production facility. Within the
GOES-R program AER has been instrumental in the full
ground processing system development life cycle, from
the initial science requirements and Algorithm Description Documents (ADDs) that were the basis for the software design and development through assisting in ongoing acceptance testing. As part of this effort a full suite
of algorithm test tools was developed that provided a
90

Army Corps of EnginEErs
rEsEArCh-to-opErAtions support
The lighter, leaner and more lethal Army requires a faster
research-to-operations pipeline, while advancing technology and expanding diversity of the Army mission broaden
the scope of this research. Successful transition of cuttingedge capabilities to meet these ever-evolving requirements
demands both scientific understanding of the physical
nature of the problems and agile engineering capabilities
that can produce adaptable, mission-focused solutions.
AER supports the Army at all phases of the research-tooperations pipeline: performing basic scientific research
into Army-specific problems; developing physical models;
developing weather impacted decision aid capabilities; and
integrating those capabilities into enterprise systems for
Army-wide dissemination [Fig. 3].
The Army has a unique set of environmental impact
requirements that require research into many physical
phenomena at different spatial and temporal scales [17].
Icing on low altitude aircraft, degraded soil conditions
affecting vehicle mobility and detectability of Army personnel and platforms are examples of natural environment phenomena of prime interest to the Army planner
and warfighter. Basic research is encapsulated in physical
models that help predict the state of the environment for
those phenomena affecting operations. These models are
then integrated into decision aid capabilities that can help
Army planners determine relevant courses of action under
a variety of environmental conditions. These components
are then encapsulated as enterprise-ready services delivering the latest environmental and tactical data to a broad
swath of planners and decision-makers across echelons
down to the most remote Army command post.
The use of the standard community interfaces such
as the Open Geospatial Consortium (OGC) web coverage, mapping and feature services (WCS, WMS and WFS),
and the use of open-source software tools significantly
improve the interoperability of the services and reduce
long-term maintenance efforts. These services need to
support operations for the wide variety of consumers;
need to be scalable to support times of increased operational activity; and easily adapt to the changes in types of
operations any particular consumer may encounter. AER
is currently supporting the transition of weather impacted
decision aids that help predict the effect of the environment on Army system performance.
ieee Geoscience and remote sensing magazine

june 2014



Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - June 2014

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