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GEOINT
ESSENTIAL
BODY OF
KNOWLEDGE
Transparent
Transportable
TransIndustry
GEOINT
ESSENTIAL BODY OF KNOWLEDGE
SECTION I
The GEOINT Essential Body of Knowledge 3
Transparency and Transportability 3
Essential Body of Knowledge Background 3
Essential Body of Knowledge Purpose 4
Essential Body of Knowledge Competency Areas 5
SECTION II
Universal GEOINT Competency Areas 6
COMPETENCY I: GIS & Analysis Tools 6
COMPETENCY II: Remote Sensing & Imagery Analysis 7
COMPETENCY III: Geospatial Data Management 8
COMPETENCY IV: Data Visualization 9
SECTION III
GEOINT Essential Body of Knowledge Cross-Functional Knowledge and Skills 10
COMPETENCY: Synthesis 10
COMPETENCY: Reporting 10
COMPETENCY: Collaboration 10
SECTION IV
Evolution of the GEOINT Essential Body of Knowledge 11
Genesis 11
Development of the Essential Body of Knowledge 11
Relationship to Other Organizations 13
Future 13
APPENDIX
Sources 14
1
Throughout the past 20 years, geographic,
mathematical, scientific, technical, collections, and
analysis disciplines have converged as components of
a larger discipline—geospatial intelligence (GEOINT).
GEOINT has become the cornerstone of U.S. national
and homeland security activities through its place at the
functional center of many diverse intelligence methods
and applications.
In 2003, a group of leading authorities realized an
inherent need for a unified vision and approach to
promoting the geospatial intelligence tradecraft.
This group created the successful GEO-INTEL 2003
conference—the predecessor to the annual GEOINT
Symposium—and in early 2004 established the United
States Geospatial Intelligence Foundation (USGIF). The
Foundation’s mission was, and continues to be, to bring
together government, industry, academia, professional
organizations, and individuals for the advancement of
the geospatial intelligence tradecraft.
Recently, the private sector has experienced a similar
rise in its applications of GEOINT. Geospatial Intelligence
is now part of Business Intelligence (BI). Place and time
are part of the working fabric that forms BI and informs
decision-makers at all levels. However, the practice of
GEOINT still requires exceptional skill and training.
Being the first and only organization of its kind,
USGIF has helped advance the GEOINT tradecraft
through its many events and programs, such as the
highly acclaimed GEOINT Symposium and GEOINT
Community Week. The Foundation has awarded almost
$800,000 in scholarships to students studying the
geospatial sciences—from high school students to
doctoral candidates. USGIF has accredited 12 college
and university GEOINT programs: Fayetteville State
University, George Mason University, Northeastern
University, Pennsylvania State University, University of
Missouri, University of Redlands, University of South
Carolina, University of Southern California, University
of Texas at Dallas, University of Utah, the U.S. Air Force
Academy, and the U.S. Military Academy at West Point.
USGIF has awarded more than 500 GEOINT certificates
to students graduating from these accredited schools
with hundreds more matriculating through the programs.
The Foundation also offers more than 100 hours of
training and education sessions throughout the year.
USGIF currently has more than 240 sustaining member
organizations supporting and assisting in executing the
Foundation’s objectives, but is primarily an educational
foundation.
SECTION I
The GEOINT Essential Body of Knowledge
Transparency and Transportability
This document provides background information and
context as well as outlines standards for the broad
practice of Geospatial Intelligence (GEOINT). The Essential
Body of Knowledge (EBK) is at the heart of USGIF’s
efforts to professionalize the global GEOINT workforce.
Within this document are examples of transparency and
transportability, the hallmarks of our program.
Transparency means not only may any aspiring
GEOINT professional gain access to the EBK, but he or
she can also understand the process by which the EBK
was created and will evolve over time. The EBK is not
a one-time creation. Rather, it will grow and change to
reflect the sweeping changes we see in the wide variety
of GEOINT sub-disciplines.
Transportability means the Universal GEOINT
Certification, built and administered by USGIF, will be
valued within and between many industries. Thus, the
concept of a “trans-industry” credential is introduced
as a manifestation of transportability.
Essential Body of Knowledge Background
While there are several definitions that attempt to frame
the Geospatial Intelligence profession, the most wellknown
definition of GEOINT stems from the United
States Code, Title 10, section 467 (10 U.S.C. § 467),
which states:
“The term ‘geospatial intelligence’ means
the exploitation and analysis of imagery and
geospatial information to describe, assess,
and visually depict physical features and
geographically referenced activities on the
earth. Geospatial intelligence consists of
imagery, imagery intelligence, and geospatial
information.”
In October 2011, Dr. Michael Vickers, then Undersecretary
of Defense for Intelligence, issued a memorandum
calling for the accredited certification of intelligence
professionals, including those at the National
Geospatial-Intelligence Agency (NGA). In the memo,
Vickers cited the professionalization of the Intelligence
Community workforce as critical to evolving mission
demands and called upon training and education to
meet skill gaps in analysis, foreign language, cyber,
human intelligence, counterintelligence, and technical
intelligence.
In response to Vickers’ memo, then-NGA Director
Letitia A. Long cited USGIF as a partner organization
to help the agency meet this goal. In October 2013,
USGIF and NGA entered into a cooperative research
and development agreement allowing the two
organizations to share best practices and partner on
defining a set of GEOINT competencies for the entire
community.
USGIF recognized the practice of GEOINT extended
well beyond the U.S. Defense, Intelligence, and
Homeland Security Communities. This realization
prompted the development of a Universal GEOINT
Certification. The goal was to create industry’s
answer to government-specific credentials through
the development of a transparent, transportable,
and trans-industry certification appropriate for both
government and commercial GEOINT practitioners.
USGIF embarked upon a 16-month effort to define
this GEOINT EBK, which depicts the knowledge, skills,
and abilities a practicing GEOINT professional should
possess. USGIF engaged the subject matter expertise
of industry organizations such as the American
Society for Photogrammetry and Remote Sensing
(ASPRS), Association of American Geographers (AAG),
University Consortium for Geographic Information
Science (UCGIS), Geospatial Information and
Technology Association (GITA), National Geospatial
Advisory Committee (NGAC), NGA, GIS Certification
Institute (GISCI), the GeoTech Center, USGIF Members,
and USGIF-accredited colleges and universities.
SECTION I 3
Essential Body of Knowledge Purpose
The EBK describes the sum of knowledge within the
GEOINT profession. As with other professions, the EBK
ultimately resides with the practitioners and academics
that apply and advance the tradecraft. The EBK
includes knowledge of proven practices that are widely
applied as well as innovative and advanced practices.
The primary purpose of this document is to identify
and describe the knowledge and skills critical for
those working in the GEOINT profession. Geospatial
intelligence is a dynamic tradecraft. As the profession
continues to evolve so will the EBK, continuing to
reflect appropriate and meaningful changes to the
GEOINT tradecraft and to incorporate new approaches
to performing tasks that become more prevalent.
USGIF set out to create a blended set of core
competencies that incorporate tasks from a number
of disciplines previously thought to be stand-alone
activities and occupations. Rather than identifying
knowledge and skills that are specific to a certain
occupation or job, this EBK defines what it means to be
a GEOINT professional through identifying knowledge
and skills that cut across many different occupations.
In addition, GEOINT is more about the analysis enabled
by technology than about the technology itself. As
technologies merge they become less of a barrier
between the disciplines of remote sensing and GIS.
The universal core competencies articulated in this
EBK has been developed for the GEOINT professional:
the person in the government and business who
informs decision-makers about spatiotemporal issues
and provides timely answers to key questions.
The GEOINT Essential Body of Knowledge provides a basic reference for anyone interested in or practicing
the profession of GEOINT. This includes, but is not limited to:
• Advanced Visualization Specialists
• Aeronautical Analysts
• Business Market Analysts
• Counterintelligence Officers
• Demographers
• Economic Development Specialists
• Emergency Preparedness Specialists
• Environmental Scientists
• Geodetic Surveyors
• GEOINT Analysts (Analytic Methodologist, Geodetic
Earth Sciences, Geodetic Orbit Sciences, LiDAR
Image Science, Photogrammetric Image Science,
Radar Image Science, Spectral Image Science,
Thermal Infrared Image Science)
• Geospatial Data Stewards
• GIS Analysts (Consultant, Coordinator, Developer,
Instructor, Programmer, Project Manager, Sales &
Marketing, Spatial Analyst, Specialist, Supervisor,
Technical Writer, Tech Lead, Technician, Tester,
Administrator)
• Hydrologists
• Imagery Acquisition Specialists
• Imagery Analysts
• Imagery Scientists
• LiDAR Project Managers
• Maritime Analysts
• Open-Source Analysts
• Public Health Specialists
• Research Specialists
• Scientists
• Surveyors
• Source Strategies Analysts
• Systems Engineers
• Wildlife Biologists
4
GEOINT ESSENTIAL BODY OF KNOWLEDGE
Essential Body of Knowledge Competency Areas
The GEOINT EBK describes geospatial intelligence competency and practice in terms of key job tasks and essential
knowledge, skills, and ability required for a professional to be successful. These competencies are organized into four
competency areas as described below and illustrated.
Competency I: GIS & Analysis Tools describes the
knowledge necessary to ensure the various elements
and approaches of GIS and analysis are properly
understood in order to successfully capture, store,
manage, and visualize data that is linked directly to a
location.
Competency II: Remote Sensing & Imagery Analysis
describes the knowledge necessary to generate
products and/or presentations of any natural or manmade
feature or related object or activity through
satellites, airborne platforms, unmanned aerial vehicles,
terrestrially based sensors, or other similar means. This
competency area contains the knowledge necessary
to synthesize technical, geographic, and intelligence
information derived through the interpretation or
analysis of imagery and collateral materials as well as
the processes, uses, interpretations, and manipulations
of imagery for dissemination.
Competency III: Geospatial Data Management
describes the knowledge required to acquire, manage,
retrieve, and disseminate data to facilitate integration,
analysis, and synthesis of geospatial information.
Competency IV: Data Visualization describes the
use of cartographic and visualization principles to
generate products that represent information about the
physical environment that can be easily understood by
decision-makers.
GEOINT Essential Body of Knowledge
Remote Sensing
& Imagery Analysis
Data Visualization
Geospatial
Data Management
GIS & Analysis Tools
Synthesis
Collaboration
Reporting
SECTION I 5
SECTION II
Universal GEOINT Competency Areas
COMPETENCY I: GIS & Analysis Tools
A subset of GEOINT that includes the requisite knowledge to ensure the various elements and approaches to GIS
and analysis are properly understood in order to successfully capture, store, manage, and visualize data that is linked
directly to a location. GIS & Analysis Tools consist of:
Fundamental GIS Principles
• Vector and Vectorization (e.g., digitization)
• Raster
• Types of Geospatial Information
• Fundamentals of Geodesic Science
(e.g., geoid, ellipsoid, coordinate systems,
heights, point positioning, datum)
• Spatial Topology
• Feature Attribution
Data Evaluation Principles
• Common Limitations of Geospatial Data
(e.g., uncertainty, relative and absolute
accuracy, precision)
• Data Validation
• Non-structured Data Evaluation
Spatial Analysis & Statistics
• Spatial Structures and Models
• Algorithms for Spatial Analysis
• Spatio-temporal Analysis (e.g., trend analysis,
predictive/anticipatory analysis)
• Analysis of Surfaces (e.g., elevation data)
• Raster Analysis Techniques
(e.g., raster mathematics)
• Geocoding (e.g., land partitioning systems)
• Vector Analysis (e.g., network analysis)
• Statistical Techniques and Concepts
• Non-structured Data Analytics
• Geostatistical Methods
Geospatial Data Fusion
• Metadata Requirements (e.g., metadata standards,
geospatial standard organizations – Federal
Geospatial Data Committee)
• Common Data Fusion Applications
• Fusion of Geospatial Data with Remotely Sensed
Data (e.g., applications and location-based
intelligence, activity-based intelligence)
• Fusion of Various Types of Remotely Sensed Data
• Common Errors and Limitations Resulting from
Data Fusion
Open-Source Geospatial Data
• Sources and Types of Open-Source Geospatial Data
(e.g., non-structured data)
• Geospatial Crowdsourcing (e.g., volunteered
geographic information, “participatory sensing”)
• Common Capabilities and Limitations of Open-
Source Geospatial Data (e.g., open-source versus
proprietary data, data quality)
• Open-Source Geospatial Standards
• Sources of Open-Source Geospatial Error
• Open-Source “Spoofing”
Geography Concepts & Principles
• Human Geography: Interrelationships Between
Humans and Their Environment (e.g., cultural,
economic, health, historic, political, population)
• Physical Geography: Geomorphology,
Environmental/Climate Geography
• Virtual Geography
• Conceptual Analytic Modeling
• Structured Analytic Techniques
6
GEOINT ESSENTIAL BODY OF KNOWLEDGE
COMPETENCY II: Remote Sensing & Imagery Analysis
Remote Sensing & Imagery Analysis generates products and/or presentations of any natural or man-made feature or
related object or activity through satellites, airborne platforms, unmanned aerial vehicles, or other similar means. This
competency area contains the knowledge necessary to synthesize technical, geographic, and intelligence information
derived through the interpretation or analysis of imagery and collateral materials as well as the processes, uses,
interpretations, and manipulations of imagery for dissemination. Remote Sensing & Imagery Analysis includes:
Remote Sensing Fundamentals
• Image Target Elements (e.g., tone, shape, size,
pattern, texture, shadow, association)
• Types of Resolution (e.g., spatial, spectral,
radiometric, temporal, extent)
• Analog and Digital Imagery Formats
• Imagery Sensors for Remotely Sensed Data
(e.g., LiDAR, airborne, electro-optical, radar,
infrared, full-motion video)
• Airborne vs. Satellite Imagery
• Active and Passive Sensor Considerations
• Relationship Between Sensors, Resolution,
and Electromagnetic Spectrum
• Combinations of Sensors and/or Resolutions
to Generate End Product
• Common Challenges Associated with Remotely
Sensed Imagery Data (e.g., atmospheric/weather,
ground effects/dust, camouflage)
• Image Evaluation (e.g., sources of systematic and
unsystematic errors, accuracy, precision, National
Imagery Interpretation Ratings Scales)
• Image Metadata
• Other Sensors (e.g., unattended ground sensors,
supervisory control and data acquisition, relationship
with materials identification and analysis)
Imagery Preprocessing
• Geometric Correction
• Radiometric Corrections
• Mosaicking
• Geometric Registration
Imagery Enhancement
• 1st and 2nd Generation Orthorectification
• Georeferencing
• Dynamic Range Adjustments
• Spatial Filtering
• Image Histogram
• Stereoscopic Visualization
• Imagery Mensuration Techniques
Imagery Transformation
• Principal Components Analysis
• Spectral Ratioing
• Multi-Resolution Integration
Imagery Classification
• Supervised Image Classification
• Unsupervised Image Classification
• Classification Accuracy Assessment
and Error Analysis
• Information Classes and Spectral Classes
• Automated Feature Extraction
Imagery Analysis
• Radar Imagery Analysis
• LiDAR Imagery Analysis
• Multispectral Imagery Analysis
• Hyperspectral Imagery Analysis
• Pan Sharpening
• Change Detection Techniques
• Geographic Object-Based Imagery Analysis
• Time Series Imagery Exploitation
• Analysis of Polarized Imagery
SECTION II
7
COMPETENCY III: Geospatial Data Management
A subset of GEOINT that includes the knowledge required to acquire, manage, retrieve, and disseminate data to
facilitate integration, analysis, and synthesis of geospatial information. Geospatial Data Management consists of:
• Data Types & Considerations
• Structured Data Considerations
(e.g., analysis, manipulation, creation, integration)
• Unstructured Data Considerations
(e.g., analysis, manipulation, creation, integration)
• Geospatial File Types
• Data Dissemination Considerations
• Metadata Considerations
• Attribution
• Map Services/Web Mapping Services
• Data Creation
Database Design
• Characteristics of Geospatial Databases
(e.g., minimizes “redundancy”)
• Data Normalization (e.g., first normal form,
second normal form, third normal form)
• Conceptual Database Models (e.g., requirements
definition, database planning, Entity-Relationship
diagram)
• Logical Database Models (e.g., cardinality, incidental
and structural relationships, storage requirements)
• Physical Database Models
(e.g., software capabilities and limitations)
• Types of Databases (e.g., schema types)
• Geospatial Data Considerations
• SQL Fundamentals
• Distributed Databases (e.g., cloud databases)
• Common Geospatial Database Tools
Database Management
• Data Searching
(e.g., query operations, query languages)
• Big Data Management
• Storage and Retrieval Principles
Data Security
• Data Privacy and Confidentiality Considerations
• Data Encryption
Programming & Development
• Common Programming Languages (e.g., Python)
• Software and Application Development Processes
• Web Application Program Interfaces
(e.g., iOS, Android)
8
GEOINT ESSENTIAL BODY OF KNOWLEDGE
COMPETENCY IV: Data Visualization
Data Visualization is a subset of GEOINT that uses cartographic and visualization principles to generate products
that represent information about the physical environment and can be easily understood by decision-makers. Data
Visualization consists of:
Visualization Principles
• Integrity Principles
• Design Principles
• Subjective Considerations
• Data Types
• Visual Variables
Types of Visualizations
• Area
• Bar
• Circle
• Diagram
• Distribution
• Tree & Network
• Grid/Matrix
• Line
• Point
• Table
• Text-based
• Properties
Maps as Visualizations
• Color Theory
• Symbolizations
• Uncertainty (e.g., thematic or positional)
• Typography (e.g., data and text annotation)
• Attribute Display
• Map Projections
• Map Scale
• Metadata Annotation (e.g., marginalia)
• Hardcopy/Softcopy Maps
• Topographic Maps (e.g., hydrographic, aeronautical)
• Thematic Maps
• 3-Dimensional Maps
• Flow Maps
• Choropleth Maps
• Contour Maps
• Distorted Maps (e.g., cartogram)
• Statistical Plot Maps
• Time-Varying Maps
• Map Mashups
SECTION II
9
SECTION III
Essential Body of Knowledge Cross-Functional
Knowledge and Skills
Cross-functional knowledge areas are necessary when there are widely accepted knowledge, skills, and abilities that
transcend specific core competencies or where competencies are found across the full scope of practice. Crossfunctional
GEOINT knowledge, skills, and abilities generally reflect:
• Qualitative “soft skills” used by most GEOINTers
• Unique aspects of the Universal GEOINT tradecraft applicable to the majority of practitioners
• Common GEOINT knowledge and practices that, if followed, will improve the performance of a practitioner
COMPETENCY: Synthesis
Identifies, locates, and obtains essential information
efficiently and effectively. Identifies, defines, and
decomposes problems into component parts to
facilitate a search for a solution. Generates ideas about
a given topic and applies old ideas to new situations
or in new combinations. Synthesizes and integrates
information into meaningful concepts and ideas. Draws
conclusions from a set of facts, recognizes patterns or
trends, and determines the consequences of an action.
COMPETENCY: Reporting
Expresses ideas, information, and facts clearly and
appropriately. Tailors verbal, written, and other forms
of communication to intended purpose and audience.
Uses language conventions of spelling, punctuation,
and grammar properly. Uses appropriate sentence and
paragraph structure. Generates products according to
organization, industry, and/or professional standards.
Solicits constructive feedback from peers in an iterative
manner; synthesizes recommendations to generate
improved products, services, and processes.
COMPETENCY: Collaboration
Interacts with others in a friendly, courteous, and tactful
manner that demonstrates respect for individual and
cultural differences and for the attitudes and feelings
of others. Works cooperatively and collaboratively
with others to achieve goals through sharing or
integrating ideas, knowledge, skills, information,
support, resources, responsibility, and recognition.
Facilitates agreements that involve sharing or
exchanging resources to promote mutual goals and
interest; persuades others to change their points of
view or behavior without losing support; and resolves
conflicts and disagreements. Develops and leverages
professional networks to facilitate cooperative
partnerships that help attain goals.
10
GEOINT ESSENTIAL BODY OF KNOWLEDGE
SECTION IV
Evolution of the GEOINT Essential
Body of Knowledge
Genesis
In 2013, the USGIF Board of Directors approved a
project to develop the concepts necessary to support
the profession of geospatial intelligence. The project
suggested three focus areas:
• Define the distinguishing characteristics of
the GEOINT profession/tradecraft
• Define the content and structure of a professional
GEOINT Essential Body of Knowledge
• Establish recognition of professional attainment
(certification)
Development of the Essential
Body of Knowledge
USGIF contracted with Global Skills Exchange (GSX), a
professional services firm with an extensive background
developing and implementing credentialing and
certification programs, to assist in the develop of the
EBK. The EBK serves as the foundational pillar for
USGIF’s Universal GEOINT Credentialing Program
and Universal GEOINT Certification and as such is the
basis for the development of subsequent training and
professional development initiatives.
The EBK represents the product of a series of analytical
steps conducted that are described in detail below:
(1) thought leader (TL) interviews; (2) legacy document
review; (3) development of a draft EBK with input from
subject matter experts (SMEs); (4) validation of the
draft EBK with input from SMEs; and (5) finalization of
the EBK. Each step incorporated USGIF’s vision for
its GEOINT Credentialing Program (i.e., transparency,
transportability, trans-industry) through leveraging
SME input from across various industry sectors and
incorporating iterative content development and review.
1. Thought Leader Interviews
A series of interviews were conducted with selected
TLs for two purposes: (1) learning about “work” and
“worker” requirements in the geospatial intelligence
field; and (2) identifying relevant legacy documents that
specify “work” and “worker” requirements in geospatial
intelligence. USGIF stakeholders nominated TLs to
interview based on expertise in the discipline. TLs
included senior managers and directors from private
sector geospatial organizations, academics involved in
developing and implementing geospatial curriculum at
their post-secondary institutions, and representatives
from the public sector. During the interviews, TLs were
asked to discuss their experience performing geospatial
intelligence work and describe the knowledge and skills
needed to successfully perform that work. In addition,
TLs were asked to identify any documents that describe
work and/or worker requirements for professionals
working in geospatial intelligence.
2. Legacy Document Review
With a general understanding of the “work” and
“worker” requirements, an in-depth legacy document
review was conducted of the documents suggested
by TLs. This step focused on the following documents:
• Geospatial Technology Competency Model,
U.S Department of Labor
• Geospatial-Intelligence Professional Certification
Blueprint, National Geospatial-Intelligence Agency
• Future U.S. Workforce for Geospatial Intelligence,
National Research Council
• The Geographic Information Science and
Technology Body of Knowledge, UCGIS
These documents were reviewed to identify the
knowledge, skills, abilities, and competencies that
similar initiatives found relevant for similar target
populations. These documents provided a starting
point to develop draft competencies, knowledge,
and skills that are relevant for the target population of
USGIF’s Universal GEOINT Credentialing Program.
SECTION IV
11
3. Development of a Draft EBK:
After interviewing TLs and reviewing legacy documents,
the GEOINT EBK was drafted. The EBK development
process was iterative and provided multiple
opportunities for SMEs with various backgrounds and
industry experiences to participate. In coordination and
cooperation with numerous stakeholders, in-person
focus groups were conducted with SMEs in:
• Herndon, Va. (at USGIF headquarters)
• Reston, Va. (at a USGIF-sponsored event)
• Dayton, Ohio (event sponsored by a USGIF partner)
• San Diego, Calif. (at a GIS industry conference)
• Jackson, Miss.
(event sponsored by a USGIF partner).
In addition, a number of interviews were conducted
with selected SMEs who were unable to attend inperson
focus groups. In total, 62 SMEs from various
industry sectors participated in the EBK development
phase. SMEs from the defense and intelligence
sector (including government and private industry)
represented more than half of SME participation during
the development phase, with other SMEs participating
from academia, the oil and gas industry, defense and
intelligence, international organizations, emergency
response, state and local government, and more.
During these development focus groups, SMEs were
asked to: (1) review knowledge and skill statements
generated in legacy documents; (2) review knowledge
and skill statements generated by other SMEs; (3)
generate additional knowledge and skill statements;
(4) sort knowledge and skill statements into clusters
of competencies; and (5) rate the proficiency needed
by geospatial intelligence professionals with respect
to the knowledge and skill statements. This activity
provided SMEs with the opportunity to generate
both qualitative and quantitative data for subsequent
analysis. A draft GEOINT EBK was developed based on
the data generated during these focus groups.
4. Validation of the Draft EBK
Upon completion of the development phase, the
project transitioned to the validation phase in which
a different set of SMEs participated in focus groups.
A number of interviews, in-person focus groups, and
webinars were conducted for the purpose of soliciting
feedback on the draft EBK. In addition, questionnaires
were distributed to those SMEs who were unable to
participate in any of the other activities.
In total, 72 SMEs from various industry sectors
participated during the EBK validation phase. We
reached out to SMEs from various industry sectors
to generate the validation data, including input from
academia, the defense and intelligence sector, various
segments of business and industry, other federal
agencies, and SMEs from the geospatial intelligence
industry outside of the United States. None of the
SMEs who participated in the development phase also
participated in the validation phase.
As in the development phase, validation focus
group participants were asked to provide qualitative
comments as well as make ratings that generated
quantitative data used to validate the knowledge and
skills in the EBK. The data provided by the 72 SMEs
during the validation phase was used to generate the
final EBK.
5. Finalization of the EBK
We leveraged qualitative and quantitative data provided
by 134 SMEs from various geospatial intelligence
sectors to finalize the GEOINT EBK. In particular, we
established an analytical decision rule that accounted
for the degree of agreement across industry sectors
to ensure the knowledge and skills represented in the
final product reflect agreement across different groups
of SMEs. Thus, the final EBK reflects the knowledge
and skills that are important for geospatial intelligence
professionals across industries.
12
GEOINT ESSENTIAL BODY OF KNOWLEDGE
Relationship to Other Organizations
USGIF is strengthening the GEOINT profession through
the creation of its new Universal GEOINT Certification.
This in-depth certification requires knowledge of
remote sensing and imagery analysis, GIS, data
management, and synthesis/reporting. Achieving
USGIF’s Universal GEOINT Certification will allow
geospatial professionals to distinguish themselves as
internationally recognized practitioners.
In April 2014, just before the GEOINT Symposium in
Tampa, Fla., USGIF hosted the Future of Geospatial
Certification Workshop to gauge interest in communitywide
collaboration on certification. Representatives
from NGA, ASPRS, GISCI, AAG, Esri, the U.S.
Geological Survey, USGIF-accredited academic
programs, and others met for an unprecedented
dialogue. The gathering resulted in a greater community
understanding of USGIF’s budding Universal GEOINT
Credentialing Program, a decision to collaborate
among interested organizations moving forward, and
increased professional trust among stakeholders.
With the goal of strengthening the professional
geospatial credentialing environment, a framework
was proposed and agreed upon as a starting point
for future discussions. This credentialing framework
takes into account a variety of existing GEOINT-related
credentials such as college degrees, accredited
certificate programs, and accredited certifications. This
framework covers credentialing entities, recipients,
and organizations that would be interested in hiring
credentialed individuals, as well as organizations and
individuals/entities impacted by work performed by
credentialed individuals.
In October 2014, USGIF hosted a daylong forum as
a follow on to the Tampa workshop. Representatives
from across the broad spectrum of the geospatial
science and remote sensing communities convened
at USGIF headquarters in Herndon, Va., to discuss
lessons learned, best practices, and how USGIF’s
credentialing program might be integrated with existing
certification processes. USGIF intends to reconvene
this gathering each fall.
Two organizations crucial to these conversations
since the early days of USGIF’s EBK development are
ASPRS and GISCI. Earlier this year, USGIF signed a
memorandum of understanding with ASPRS and a
memorandum of agreement with GISCI to further inform
the Foundation’s development of its credentialing
program. ASPRS offers six certifications related to
photogrammetry and remote sensing while GISCI is
known for its GIS Professional (GISP) certification.
These information-sharing partnerships are also
intended to explore the possibility of reciprocity among
existing GEOINT credentials and those currently in
development.
Future
The GEOINT EBK represents the competencies,
knowledge, and skills relevant for geospatial
intelligence professionals regardless of the industry
sector or particular job of their employment. The EBK
is not, however, descriptive of all knowledge and skills
necessary for all jobs in geospatial intelligence. Rather,
the EBK is a starting point for understanding the
requirements within geospatial intelligence; particular
jobs, roles, or functions will likely require additional
competencies, knowledge, and skills.
In addition, the EBK will require ongoing maintenance.
Given the rapid pace of change in technology,
geospatial intelligence professionals—and the
knowledge and skills necessary for success in the
field—will likely change. USGIF intends to update the
GEOINT EBK on an annual basis, which is necessary
to ensure it continues to remain relevant for practicing
professionals.
SECTION IV
13
APPENDIX
Sources
GIS&T Body of Knowledge: http://www.aag.org/bok
DoL Geospatial Technology Competency Model:
http://www.careeronestop.org/competencymodel/competency-models/geospatial-technology.aspx
NGA’s PL-1 Certification Blueprint
Canada Centre for Remote Sensing, Fundamentals of Remote Sensing: http://www.nrcan.gc.ca/sites/www.nrcan.
gc.ca/files/earthsciences/pdf/resource/tutor/fundam/pdf/fundamentals_e.pdf
National Research Council, Future U.S. Workforce for Geospatial Intelligence:
http://www.nap.edu/catalog/18265/future-us-workforce-for-geospatial-intelligence
Joint Publication 2-03, Geospatial Intelligence in Joint Operations:
http://www.dtic.mil/doctrine/new_pubs/jp2_03.pdf
Headquarters Department of the Army, Army Techniques Publication 3-34.80, Geospatial Engineering:
http://armypubs.army.mil/doctrine/DR_pubs/dr_a/pdf/atp3_34x40.pdf
Department of Homeland Security, Homeland Security Geospatial Concept of Operations (GeoCONOPS):
http://www.nsgic.org/public_resources/HLS_GeoCONOPS_v5.pdf
GeoTECH Center, Meta-DACUM Job/Occupation Analysis, GIS & Remote Sensing:
http://www.geotechcenter.org/uploads/2/4/8/8/24886299/metadacum_gis_rs_june_2014.pdf
14
GEOINT ESSENTIAL BODY OF KNOWLEDGE
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