The GEO Belt

Geospatial Intelligence - Foundation

United States Geospatial Intelligence Foundation’s purpose is to promote the geospatial intelligence tradecraft and to develop a stronger community of interest between government, industry, academia, professional organizations and individuals who share a mission focused around the development and application of geospatial intelligence to address national security objectives.

Toward this end, the Foundation shall seek to accomplish the following broad objectives:

• To sponsor, conduct and support public discussion groups, panels, lectures and forum, to which will be invited members of the public, scientists, governmental leaders and others for an interchange of views and the instruction of the public on the topics under review.

• To publish and distribute educational publications relevant to civic associations, governmental bodies, libraries, schools, universities and other interested groups (educational activities shall be designed and presented in a manner that will enable the listener or reader to draw his or her own conclusions) In doing so, the Foundation shall not espouse policies of positions the accomplishment of which may only be achieved by the passage or defeat of legislation.

• To conduct sponsor or promote educational programs including, but not limited to, programs for teachers, administrators and students.

• To award scholarships to students at accredited institutions of higher education to pursue geospatial intelligence disciplines, to include such areas as: geographic information systems, remote sensing, intelligence analysis, and other related topical areas.

Geospatial intelligence

National Geospatial-Intelligence Agency building at the Fort Belvoir North Area in Springfield.

Geospatial intelligence, GEOINT (GEOspatial INTelligence), GeoIntel (Geospatial Intelligence), or GSI (GeoSpatial Intelligence) is intelligence derived from the exploitation and analysis of imagery and geospatial information that describes, assesses, and visually depicts physical features and geographically referenced activities on the Earth. GEOINT consists of imagery, imagery intelligence (IMINT) and geospatial information.

GEOINT encompasses all aspects of imagery (including capabilities formerly referred to as Advanced Geospatial Intelligence and imagery-derived MASINT) and geospatial information and services (GI&S); formerly referred to as mapping, charting, and geodesy). It includes, but is not limited to, data ranging from the ultraviolet through the microwave portions of the electromagnetic spectrum, as well as information derived from the analysis of literal imagery; geospatial data; and information technically derived from the processing, exploitation, literal, and non-literal analysis of spectral, spatial, temporal, radiometric, phase history, polarimetric data, fused products (that is products created out of two or more data sources), and the ancillary data needed for data processing and exploitation, and signature information (to include development, validation, simulation, data archival, and dissemination). These types of data can be collected on stationary and moving targets by electro-optical (to include IR, MWIR, SWIR TIR, Spectral, MSI, HSI, HD), SAR (to include MTI), related sensor programs (both active and passive) and non-technical means (to include geospatial information acquired by personnel in the field).

Here Geospatial Intelligence, or the frequently used term GEOINT, is an intelligence discipline comprising the exploitation and analysis of geospatial data and information to describe, assess, and visually depict physical features (both natural and constructed) and geographically referenced activities on the Earth. Geospatial Intelligence data sources include imagery and mapping data, whether collected by commercial satellite, government satellite, aircraft (such as Unmanned Aerial Vehicles [UAV] or reconnaissance aircraft), or by other means, such as maps and commercial databases, census information, GPS waypoints, utility schematics, or any discrete data that have locations on earth. There is an emerging recognition that "this legal definition paints with a broad brushstroke an idea of the width and depth of GEOINT" and “GEOINT must evolve even further to integrate forms of intelligence and information beyond the traditional sources of geospatial information and imagery, and must move from an emphasis on data and analysis to an emphasis on knowledge.”

Geospatial data, information, and knowledge

It should be noted that the definitions and usage of the terms geospatial data, geospatial information, and geospatial knowledge are not used consistently or unambiguously further exacerbating the situation. Geospatial data can (usually) be applied to the output of a collector or collection system before it is processed, i.e., data that was sensed. Geospatial Information is geospatial data that has been processed or had value added to it by a human or machine process. Geospatial knowledge is a structuring of geospatial information, accompanied by an interpretation or analysis. The terms Data, Information, Knowledge and Wisdom (DIKW) are difficult to define, but cannot be used interchangeably.

Quite simply, geospatial intelligence could be more readily defined as, data, information, and knowledge gathered about enemies (or potential enemies) that can be referenced to a particular location on, above, or below the earth's surface. The intelligence gathering method could include imagery, signals, measurements and signatures, and human sources, i.e., IMINT, SIGINT, MASINT, and HUMINT, as long as a geo-location can be associated with the intelligence.

Relationship to other "INTs"

Thus, rather than being a peer to the other "INTs", geospatial intelligence might better be viewed as the unifying structure of the earth's natural and constructed features (including elevations and depths)—whether as individual layers in a GIS or as composited into a map or chart, imagery representations of the earth, AND, the presentation of the existence of data, information, and knowledge derived from analysis of IMINT, SIGINT, MASINT, HUMINT, and other intelligence sources and disciplines.

The Intelligence, Defense, Homeland Security, and natural disaster assistance communities would all benefit from this unifying structure of foundation feature data, current and historical imagery, and the data, information and knowledge that each intelligence discipline gathers, analyzes, assesses, and presents on a globe. This unifying aspect of geospatial intelligence can be viewed as a global extent Geographic Information System (GIS) to which all community members contribute by geo-tagging their content.

Other factors

It has been suggested that GEOINT is just a new term used to identify a broad range of outputs from intelligence organizations that use a variety of existing spatial skills and disciplines including photogrammetry, cartography, imagery analysis, remote sensing, and terrain analysis. However, GEOINT is more than the sum of these parts. Spatial thinking as applied in Geospatial Intelligence can synthesize any intelligence or other data that can be conceptualized in a geographic spatial context. Geospatial Intelligence can be derived entirely independent of any satellite or aerial imagery and can be clearly differentiated from IMINT (imagery intelligence). Confusion and dissension is caused by Title 10 U.S. Code §467's separation of "imagery" or "satellite information" from "geospatial information" as imagery is generally considered just one of the forms which geospatial information might take or be derived from.

It has also been suggested[by whom?] that geospatial intelligence can be described as a product occurring at the point of delivery, i.e., by the amount of analysis which occurs to resolve particular problems, not by the type of data used. For example, a database containing a list of measurements of bridges obtained from imagery is 'information' while the development of an output using analysis to determine those bridges that are able to be utilized for specific purposes could be termed 'intelligence'. Similarly, the simple measurement of beach profiles is a classical geographic information-gathering activity, while the process of selecting a beach that matches a certain profile for a specific purpose is an analytical activity, and the output could be termed an intelligence product. In this form it is considered to be generally used by agencies requiring definitions of their outputs for descriptive and capability development purposes (or, more cynically, as a marketing strategy).

Geospatial intelligence analysis has been light-heartedly defined as “seeing what everybody has seen and thinking what nobody has thought.” However, these perspectives affirm that creating geospatial knowledge is an effortful cognitive process the analyst undertakes; it is an intellectual endeavor that arrives at a conclusion through reasoning. Geospatial reasoning creates the objective connection between a geospatial problem representation and geospatial evidence. Here one set of activities, information foraging, focuses around finding information while another set of activities, sensemaking, focuses on giving meaning to the information. The activities of foraging and sense making in geospatial analysis have been incorporated in the Structured Geospatial Analytic Method.

Mini Satellites

FITSAT-1 (NIWAKA)

Tiny Satellites Leave Station
ISS033-E-009458 (4 Oct. 2012) --- Several tiny satellites are featured in this image photographed by an Expedition 33 crew member on the International Space Station. The satellites were released outside the Kibo laboratory using a Small Satellite Orbital Deployer attached to the Japanese module's robotic arm on Oct. 4, 2012. Japan Aerospace Exploration Agency astronaut Aki Hoshide, flight engineer, set up the satellite deployment gear inside the lab and placed it in the Kibo airlock. The Japanese robotic arm then grappled the deployment system and its satellites from the airlock for deployment.

FITSAT-1 (NIWAKA)

Has been developed as a 5.8GHz high speed transmitter for artificial satellites. It consists of an exciter module with a 115.2kbps FSK modulator and a liner amplifier which amplifies a 10mW signal to 4W. We are now developing a small artificial satellite named FITSAT-1. It also has the nickname “NIWAKA”. The shape is a 10cm cube, and the weight is 1.33kg.
The main mission of this satellite is to demonstrate the high speed transmitter developed. It can send a jpeg VGA-picture(480×640) within 6 seconds.
FITSAT-1, will write messages in the night sky with Morse code, helping researchers test out optical communication techniques for satellites. After its deployment from the orbiting lab, the cubesat’s high-output LEDs will blink in flash mode, generating a Morse code beacon signal. The flashing light from FITSAT-1 will be received by a Fukuoka Institute of Technology ground station that has a telescope and a photo-multiplier device linked to an antenna.
(The others are classified )