Approved for public release, 22-414

Essential Body of Knowledge (EBK)

GEOINT Professional Certification - Imagery Analysis: Proficiency Level II

26 January 2022 

IA-II Core Competency 1 - Imagery Collection Management (21%) 

An imagery analyst has knowledge of sensor collection capabilities and limits, and applies that knowledge to assist the 

development of collection strategies and request tasking of multiple systems to satisfy intelligence requirements. 

(Imagery Collection Management does not include collection operations management beyond the basic/developmental 

level).

 Terminal Certification Objectives (TCOs)

 TCO 1: Comprehend the imagery collection process to satisfy intelligence requirements.

1.1: Develop a broad knowledge of appropriate imagery collection platforms (capabilities and limitations).

1.2: Explain the basic imagery tasking framework and the components of an imagery collection nomination.

1.3: Recognize requirement types (Standing, Contingency, Ad Hocs, Multi-Discipline Interaction (MDI)) and collection types (Point, Broad 

Area, Line of Communication, and Directed Search Area) that best satisfy the intelligence need.

1.4: Explain how to apply intelligence from multiple intelligence collection sources such as Human Intelligence (HUMINT), Signals 

Intelligence (SIGINT), etc., as available, to imagery collection.

1.5: Know which applicable resources to use and how to use them in preparation for submitting imagery requirements.

1.6: Define technical parameters for imagery collection targets such as location coordinates, required National Image Interpretability 

Rating Scale (NIIRS), periodicity, etc.

1.7: Explain how Essential Elements of Information (EEI), GEOINT Program of Analysis, Analytic Initiatives and Key Intelligence questions 

relate to an imagery collection nomination.

 TCO 2: Comprehend the importance of developing and coordinating imagery collection strategies to satisfy intelligence requirements.

2.1: Explain the need to work with Imagery Scientists or collection managers to optimize collection geometry and use advanced 

phenomenologies and imaging techniques.

IA-II Core Competency 2 - Collateral and Historical Research (24%) 

An imagery analyst synthesizes information from a variety of GEOINT sources, as well as collateral sources to provide 

added context and relevance to geospatial intelligence analysis for our customers. Collateral Sources can include 

different intelligence disciplines such as SIGINT, HUMINT, OSINT, as well as data sets.

Approved for public release, 22-414
Approved for public release, 22-414

 Terminal Certification Objectives (TCOs)

 TCO 3: Comprehend the tools and methods used to identify, acquire, and evaluate sources of information related to Geospatial 

Intelligence (GEOINT).

3.1: Discuss methods used to discover geospatial or intelligence source material to satisfy intelligence requirements.

3.2: Describe procedures used to identify, discover, export, and cite relevant imagery reports from an imagery reporting database.

3.3: Define different types of geospatial intelligence (GEOINT) reporting such as database entries, intelligence products, baselines, objectbased reporting, and other types of reporting.

3.4: Understand the difference between an installation and a facility, and identify a target's function using the category code.

3.5: Explain how to ensure target database accuracy within the National System for Geospatial Intelligence (NSG) enterprise, create or 

modify a target as needed, and update target information.

IA-II Core Competency 3 - Imagery Interpretation/Imagery Analysis (29%) 

An imagery analyst exploits and analyzes imagery, conducts research, and synthesizes information to derive a 

conclusion or make an assessment. Imagery interpretation/analysis involves understanding sensor capabilities/limitations 

for exploitation purposes; it requires the use of software and tools.

 Terminal Certification Objectives (TCOs)

 TCO 4: Comprehend standards, concepts, and techniques used to exploit imagery and geospatial related data.

4.1: Explain how image interpretability as defined by the (NIIRS) impacts the ability to satisfy Essential Elements of Information (EEIs).

4.2: Demonstrate general knowledge and understanding of the phenomenology of multiple sensor types for exploitation.

4.3: Recognize and describe image quality and characteristics which affect interpretability.

4.4: Understand how foreign denial and deception techniques can impact our ability to identify activity and generate accurate and reliable 

assessments from imagery.

4.5: Understand how imagery metadata relates to imagery appearance, interpretability, and mensuration. 

 TCO 5: Comprehend advanced exploitation tools, techniques, and methodologies that satisfy intelligence requirements.

5.1: State the purpose and uses of advanced exploitation techniques (e.g. color multiview, dynamic imaging, spectral imagery).

IA-II Core Competency 4 - Production (26%) 

An imagery analyst creates imagery intelligence products (written text reports, graphics, and other formats) based on 

customer and mission requirements. This includes disseminating the products via a National System for Geospatial 

Intelligence (NSG)/Allied System for Geospatial Intelligence (ASG) image-derived database or based on local standard 

operating procedures (SOPs). 

Approved for public release, 22-414
Approved for public release, 22-414

 Terminal Certification Objectives (TCOs)

 TCO 6: Apply processes and procedures to create and disseminate imagery intelligence products and/or data in an appropriate format to the 

customer.

6.1: Understand how to document relevant targets and activities by reporting imagery findings in the appropriate database.

6.2: Determine releasability of imagery intelligence information based on policy.

6.3: Explain how the limitations of imagery collection affect the creation of imagery intelligence products.

6.4: Describe how using collateral reporting and other sources provides context and relevance to imagery analysis and can increase 

accuracy and confidence levels.

Approved for public release, 22-414