3D target models, GEOINT imagery and analytics from archive or new RS survey.
Search the site
What the service is used for
Precision engagement
A 3D model of a stationary or mobile target from RS data in online mode and georeferencing of the target.
Situational and infrastructure control
Collection of data on facilities, transport, communications, plants and bases; hotspot alerts and support for exercises.
Navigation and global RS data
Planning, navigation, air picture and location; the source cites support for 3,000 Ministry of Defense flights daily.
UAV and 3D situational picture
Tracking of platforms, field of view and coverage zone in 3D; UAV and target location addresses — 2–6 cm per pixel.
Reconnaissance in the theater of operations
Space, aviation, UAV and ground assets: battlefield picture, precision weapons and damage assessment.
Need GEOINT or RS data?
Describe the task and the territory. A specialist will select the archive, new survey and analytics composition.
What you will receive as a result of the work
01
GEOINT and RS data
Imagery and analytics on terrain, objects and infrastructure for planning and intelligence.
Geospatial intelligence (GEOINT) supplies RS data and analytical solutions: observation, detection, interpretation, tracking and precise georeferencing. The composition depends on the archive or a new survey and the terms of reference.
What you get
- selection of archive and new RS materials for the agreed territory
- interpretation of objects and georeferencing
- analytics in an agreed format for decision-making
Image availability depends on the archive, cloud cover and survey mode. The layer composition is fixed in the terms of reference.
02
3D target model
A three-dimensional model with real texture and coordinate referencing for high-precision targeting.
The key RS task in military applications in the source is conditions for high-precision targeting of a stationary and mobile target in online mode based on a 3D model from RS data. GEOINT stereo imagery forms a 3D mosaic in urban and hard-to-access areas.
What you get
- 3D object model with texture from agreed RS data
- coordinate referencing of the target
- materials for planning and targeting assessment
Model accuracy depends on stereo imagery, resolution and control data. Parameters are set in the terms of reference.
03
Infrastructure monitoring
Collection and classification of data on objects: transport, communications, plants, logistics, military bases.
In peacetime GEOINT collects infrastructure data down to building textures, the transport network, telecommunications, command centres, plants and research institutes. Separately — support for exercises, ranges, troop redeployment and operation of military facilities.
What you get
- thematic layers of infrastructure objects according to the ToR
- classification of objects by an agreed ranking
- materials for monitoring bases, ranges and logistics
Layer completeness depends on survey resolution, dates and archive availability. The object composition is agreed in the ToR.
04
UAVs and the tactical situation
UAV tracking, video and IR thermal survey, 3D georeferencing of the frame to the terrain.
UAV data are used to display position, field of view and coverage area in 3D; the locations of the aircraft and the target are determined automatically at 2–6 cm per pixel. In wartime — camera video, a frame still and positioning of the image on the terrain.
What you get
- UAV survey materials and georeferencing to the terrain
- 3D display of position, FOV and trajectory according to the ToR
- a video frame with positioning on the map
The 2–6 cm per pixel resolution refers to address-level determination in the source. Actual detail depends on the sensor and flight altitude.
How the work goes
Cost and timeline
The cost and timeline of geospatial-intelligence work depend on the territory, survey type and the composition of RS analytics.
- task: observation, interpretation, target coordinate referencing, a 3D model, infrastructure monitoring or the situation in the theater of operations
- data type: satellite, aerial and UAV survey; optics and SAR radar; sensors from ultraviolet to microwave
- resolutions in the source: panchromatic and SAR from spacecraft 15 cm, multispectral 50 cm, digital video, photo and LiDAR from UAV 1–3 cm; UAV addressing 2–6 cm per pixel; online analytics, decision-making in no more than 10 minutes; a planned global 3D Earth model and a 30×30×30 cm elevation matrix
- industry benchmarks: annual military spending of states — hundreds of billions USD; the USA — more than USD 850 billion a year; in 2021 world military spending +0,7% to USD 2 113 billion; US intelligence spending — up to USD 80 billion; GEOINT in 2021 — 87% of the US intelligence community (17 units). This is not an Innoter price list
- CORONA (1959) and the contribution of military maps of up to 30% in the overall representation of geospace — historical and methodological context, not an order standard
The cost of the work is calculated individually
Timelines depend on the area, survey type and product composition
The final estimate is agreed after the task and the territory are described
What is needed for a quote
To agree the GEOINT data composition, provide:
- task: observation and interpretation, target coordinate referencing, a 3D model, infrastructure monitoring or the situation in the theater of operations
- area of interest — district outline, coordinates or a shapefile
- period: archive, new survey, operational monitoring or a retrospective
- whether satellite images, aerial survey, UAV, optics, SAR radar, LiDAR are needed
- requirements for resolution, the 3D model, the elevation matrix, object texture and delivery format, if they are already known
- constraints on transmission channels (SATCOM, Internet, etc.), if the data need to be delivered in a closed mode
If survey parameters have not been set yet, describing the task and the area is enough — specialists will propose the RS data composition.
Describe the outline and the goal — we will clarify the archive, a new survey and the analytics composition.
Why Innoter
Prompt access to archives
Suitable archive imagery can be obtained faster when the required area and date are already available from operators.
No aviation clearances
A new satellite survey does not require the flight clearances typical of aerial surveys.
Large and remote areas
A single satellite pass covers large areas and makes it possible to work in hard-to-reach regions.
Direct agreements with operators
Distribution agreements help select archive imagery and order new surveys from different providers.
Software and server infrastructure
Modern software and computing capacity for quality control and processing of large data volumes.
Experienced specialist team
Years of experience on complex projects and specialists in cartography, photogrammetry and remote sensing.
RS data, GEOINT and intelligence composition
The composition depends on the territory, archive or new survey, space, aviation or UAV, and 3D and analytics requirements.
1
The military-industrial complex (MIC) is a set of enterprises and organisations that develop, produce, store and put into service military and special equipment primarily for state security forces, and also for export.
Annual state spending on the «military machine» amounts to hundreds of billions of USD. The USA — more than USD 850 billion a year (including «black» funding through other agencies). In 2021 global military spending grew by 0,7% in real terms and reached USD 2 113 billion. US intelligence spending — up to USD 80 billion; in 2021 geospatial intelligence accounted for 87% of all structures of the US intelligence community (17 agencies).
Global practice of applying geospatial technologies in military affairs is concentrated in GEOINT: data on the adversary (RS data) and analytical solutions for all branches of the armed forces. The figures are industry context of the source, not an INNOTER price list.
2
The key RS task in military affairs in the source is creating conditions for precision engagement of any stationary and mobile target in online mode on the basis of a 3D model of the target from RS data at any point on Earth. The solution comes from GEOINT: observation, detection, interpretation, tracking and precise coordinate referencing of the target.
Peacetime: global control of the military and civilian situation; strategic control of nuclear storage sites, silos and mobile nuclear assets; collection of infrastructure data down to the texture of buildings, metro, telecommunications, plants and research institutes; daily operational management of RS data (planning, navigation, notification of ship captains, air situation, servicing 3 000 Ministry of Defence flights daily — the source's wording about the US DoD); warnings on hot spots; transition from a digital map to realistic 3D; support of exercises, ranges and bases; precise location data; management of natural-disaster consequences; transfer of geospatial information in a closed mode over SATCOM, Intelsat, Inmarsat, Thuraya, Internet, radio-relay, HF and VHF channels.
The overall contribution of military topographic and thematic maps in the source has fallen to 30% in the overall representation of geospace.
3
Mastering software with UAV data for geospatial analysis in the source includes:
- tracking of several UAVs in near-real-time;
- display of the moving position and location of the UAV, field of view, coverage area and tracing in 3D;
- UAV information (ID, name, flight altitude, tilt angle) and viewing of tracing data;
- automatic determination of UAV location addresses and the target (centre of the camera field of view) — resolution 2–6 cm per pixel;
- viewing of weather conditions when tracking UAVs.
4
Wartime in the source: geospatial intelligence of the situation on the battlefield (theatre of operations), in air and sea space and of submarine movements by space, airborne, UAV, mobile, ground field and wearable means.
Automatic processing of GEOINT requests and data on board a spacecraft / UAV and downlink to the battlefield. Transfer of data for engaging targets with precision weapons (cost per target no more than one missile or shell) in online mode and assessment of destruction. Geospatial modelling of a nuclear strike, consequences and advance routes. Assessment of the rear, troop movements and the adversary's economic structure. Point selection of a target tied to a 3D model with real texture in urban and hard-to-access areas. RS analytics down to prompting decisions for lower-rank service members. Detection of mobile EW and communications assets. A GEOINT underwater-situation assessment system. All-domain warfare management on a single geospatial platform. Video from a UAV camera, a frame snapshot and positioning of the image on the terrain.
5
The source describes the geospace system in the military industry (USA, NATO, China): geospatial intelligence at the state and commercial levels processes RS information from sensors across the entire electromagnetic-wave range — from ultraviolet to microwave.
Very-high survey resolution: 15 cm in panchromatic and SAR radar, 50 cm in multispectral from a spacecraft; 1–3 cm resolution in digital video, photo and LiDAR images from UAV. Analytics in online mode, decision-making in no more than 10 minutes. Automatic creation of 3D models of the situation and targets in urban and hard-to-access territory. Planning of a global high-resolution 3D model of the Earth and a 30×30×30 cm elevation matrix.
Without RS data, according to the source's wording, the task of precision weapons in combat conditions cannot be solved. Intelligence, monitoring, interpretation of objects and assessment of cargoes in the world ocean — from satellite RS.
6
The US Armed Forces and NATO, according to the source, deploy ArcGIS at all RS data levels for headquarters and combat functions, including in the cloud and in low-bandwidth environments. ArcGIS uses machine reading, neural networks, gravimetry and photogrammetry.
Partial transfer of military RS data and intelligence assets to the civilian commercial sector is called in the source a stimulus for digital technologies: AI, Smart, IoT, Web, neural networks.
The source FAQ separately describes the National Geospatial-Intelligence Agency (NGA), US agencies and the launch of the CORONA reconnaissance satellite in 1959 — historical and organisational context, not a description of an Innoter service.
Frequently asked questions
Answers to key questions about service parameters, timelines, deliverable formats and workflow. If you did not find what you need — contact us and we will help.
Geospatial intelligence is the process of collecting and analyzing geographic data to obtain information about specific locations and areas on the Earth's surface. It involves the use of various technologies and methods, such as remote sensing, global positioning systems (GPS), geographic information systems (GIS), and aerial photography.
The main objective is to obtain detailed information about geographic objects and their characteristics. This may include measuring elevations, shapes, and sizes of the Earth's surface, analyzing terrain and landscapes, determining coordinates and georeferencing objects, as well as creating digital models and maps.
-
Military Intelligence: Geospatial intelligence plays a crucial role in military operations, providing information on enemy force locations, terrain topography, infrastructure objects, and other important data for strategic planning and tactical actions.
-
Civil Protection: Used for monitoring and analyzing natural disasters (floods, earthquakes, etc.), allowing assessment of the scale and consequences of disasters and coordinating rescue and relief operations.
-
Scientific Research: Geospatial data helps scientists study climate change, ecosystems, landscapes, and other aspects of the Earth's surface.
-
Geology and Mining: Geospatial data is applied in the search and evaluation of mineral deposits, as well as for planning mining operations and assessing the stability of geological formations.
-
Agriculture: Geospatial data is used to monitor soil conditions, determine optimal locations for agricultural activities, control crop growth, and combat plant diseases.
-
Transportation and Infrastructure Management: Geospatial data is used for planning road and transportation systems, traffic management, and detecting infrastructure issues (e.g., cracks in dams or bridges).
It has a wide range of applications. It is used in geology and geological survey to study the structure of the earth's crust, identify mineral deposits and search for oil, gas and other resources. In agriculture, it helps in farmland planning, monitoring yield levels and assessing vegetation cover.
It also finds application in urban planning and city planning. It helps in determining the optimal placement of buildings and infrastructure, planning road networks, assessing resilience to natural disasters, and analyzing transportation accessibility.
In defense and security, geospatial intelligence plays an important role. It helps analyze territories, control borders, detect facilities and enemy movements, and conduct reconnaissance before military operations.
Geospatial intelligence technologies and methods are constantly evolving, opening up new opportunities for obtaining more accurate and complete geographic information. They play an important role in various industries and contribute to more informed action and optimized processes. For example, using remote sensing and satellite navigation systems such as GPS, it is possible to obtain precise coordinates of objects and conduct accurate mapping of areas. This is particularly useful in planning infrastructure projects such as roads, bridges and buildings, where accuracy and spatial information play an important role.
It is also used in environmental monitoring and assessment. Using specialized sensors and tools, water quality, soil conditions, vegetation distribution and climate change can be analyzed. This enables measures to be taken to protect nature, use resources sustainably and solve environmental problems.
One important application area of geospatial intelligence is transportation and logistics. GIS and specialized software solutions can be used to optimize delivery routes, manage cargo flows, track the location and condition of vehicles, and prevent conflicts and delays in transportation. This reduces costs, improves efficiency and ensures more reliable delivery of goods.
Geospatial intelligence is also significant in civil security and emergency management. By analyzing geographic data, the effects of natural disasters such as floods, earthquakes, or wildfires can be modeled and predicted, and evacuation planning and rescue operations can be coordinated.
In general, geospatial intelligence plays an important role in various industries and provides access to relevant, accurate and useful geographic information. Its application contributes to economic development, improving people's lives and ensuring the safety and sustainability of various processes and activities. By analyzing and interpreting geospatial data, it is possible to identify trends, patterns and relationships between different geographical phenomena and phenomena in other industries.
In the construction industry, it contributes to more accurate planning and design of facilities. It can be used to analyze terrain, determine optimal locations for construction, monitor ground stability and prevent possible geological risks.
The transportation industry also relies heavily on geospatial intelligence. It helps to optimize transportation routes, predict and prevent traffic jams and accidents, improve public transportation planning, and enhance transportation safety and efficiency.
Geospatial intelligence also has applications in environmental monitoring and conservation. It allows analyzing changes in ecosystems, detecting pollution, monitoring protected and preserved areas, and monitoring and assessing the impact of industrial and infrastructure projects on nature.
In general, it plays an important role in various fields of activity by providing access to accurate geographical data and information. Its application contributes to better planning, improved processes and informed decision-making. Modern geospatial intelligence technologies and tools open up new opportunities for analyzing and using geographic information, which contributes to economic development, improving the quality of life and preserving the environment.
In agriculture, it helps optimize the use of land resources by enabling analysis of soil characteristics, optimal irrigation and fertilization scheduling, and yield prediction.
Digitalization and automation of geospatial exploration processes lead to an increase in the speed and accuracy of data collection, as well as simplify their processing and analysis. Modern geographic information systems and software solutions can integrate and visualize large volumes of geographic information, making it more accessible and understandable to users.
Geospatial intelligence enables better planning and management of territories, resources and infrastructure. It helps identify bottlenecks and problem areas, predict and prevent potential risks, and improve people's quality of life.
Geospatial intelligence makes extensive use of technologies such as geographic information systems (GIS), satellite navigation systems (e.g. GPS), remote sensing (RS), laser scanning and other geographic information-gathering techniques. These technologies provide a more complete and accurate picture of the Earth's surface, objects and phenomena.
Effective planning of transport routes, development of sustainable urban spaces, optimization of natural resources use, forecasting and prevention of emergency situations, as well as improvement of civil security and quality of life of the society as a whole become possible.
Geospatial intelligence is an important component of the modern information society and has great potential for development and application in various spheres of activity. With the increasing availability and development of digital technologies.
Geospatial intelligence plays an important role in defense and warfare by collecting, analyzing, and interpreting geographic information for strategic and tactical decision making. Its mission is to provide military commands with accurate and up-to-date data on geographic features, terrain, objects, and the limitations and capabilities associated with territory and climate.
Military geospatial intelligence involves collecting information on topography, terrain, road networks, water bodies, vegetation, and other factors that can affect military operations. This data helps plan the deployment of military forces, select optimal routes of travel, determine locations for bases and defense facilities, and assess opportunities for camouflage and concealment.
It also involves collecting and analyzing information about the enemy, its location, movement, and possible actions. This enables prediction and prevention of threats, as well as tactical decisions based on analysis of geographic data about the enemy.
Modern technologies such as satellite reconnaissance, remote sensing, geographic information systems and drones play an important role in collecting geospatial intelligence information. They provide high quality images and data on terrain, facilities and enemy activities.
In defense and warfare, it is key to security, operational decision making and successful execution of military operations. It helps to increase the effectiveness of military operations, minimize casualties and improve coordination between different military units.
The National Geospatial Intelligence Agency (NGA) is a specialized organization responsible for the collection, processing, and analysis of geospatial data to ensure national security.
The tasks of NGA include:
- Collection and processing of geospatial information: NGA utilizes modern technologies and tools to collect data on terrain, objects, topography, and other geographical features. This may include the use of satellite reconnaissance, remote sensing, aerial photography, and other methods.
- Analysis and interpretation of data: The collected geospatial data is analyzed and interpreted to identify key geographical features, objects, threats, and opportunities. This includes creating digital maps, terrain models, spatial data analysis, and scenario forecasting.
- Support for national security: NGA is a key partner in national security, providing information and analytical support to government and military organizations. Geospatial data can be used for threat detection and monitoring, defense planning, and conflict prediction.
- Collaboration and information exchange: NGA may establish partnerships with other national and international organizations specializing in geospatial intelligence. This facilitates information sharing, coordination of activities, and joint research and development.
The National Geospatial Intelligence Agency plays a crucial role in providing national-level geospatial intelligence, ensuring access to key geographical data and analytics for the government and other stakeholders. It may also perform functions related to standardization, methodology development, and ensuring compatibility of geospatial data and systems.
To successfully accomplish its missions, NGA is typically equipped with state-of-the-art technology and software, specialized geographic information systems, high-precision instruments, and other tools necessary for geospatial data collection and processing.
The agency may also participate in the development of strategic plans for the advancement of geospatial intelligence, the implementation of new technologies and methodologies, and the training of specialists in the field of geospatial intelligence.
The goal of NGA is to ensure the effective use of geospatial information in the interest of national defense and security. Through geospatial intelligence, national agencies and military units can make more informed and strategic decisions based on accurate data regarding terrain, objects, and enemy movements.
Thus, the National Geospatial Intelligence Agency is a vital component of national defense, providing information, analytics, and technical support for the effective utilization of geospatial data by military and governmental organizations.
The U.S. Intelligence Agency (USAF) plays an important role in the field of geospatial intelligence. Over the years, it has used the latest technologies and techniques to collect, analyze, and interpret geospatial data.
The geospatial intelligence conducted by the agency aims to obtain information about terrain, objects, topography, and other geographic features. Through satellite reconnaissance, remote sensing, and other means, the agency collects valuable data that is then analyzed and used to make strategic decisions.
The agency's intelligence work involves not only gathering information, but also working with a variety of organizations and people, including other intelligence agencies, government agencies, and private companies. This allows for information sharing, coordination of efforts, and the use of shared resources to achieve common goals.
Each year, the U.S. improves its methods and technology to stay ahead in geospatial intelligence. It introduces new programs and tools, trains its employees, and brings in experts from different fields to ensure its effectiveness.
As a result of the work of the U.S. Defense Intelligence Agency and its staff, geospatial intelligence has become an indispensable tool for taking important security and defense actions. It helps ensure that U.S. national interests are protected and provides a strategic advantage in complex geopolitical environments.
The United States began actively using geospatial intelligence in the mid-twentieth century, during the Cold War. During this period, the United States and the Soviet Union competed geopolitically and militarily, and intelligence became an important tool for gaining information about enemy territories and activities.
One of the earliest examples of U.S. geospatial intelligence applications was the use of satellite-based reconnaissance systems. In 1959, the first U.S. reconnaissance satellite, CORONA, was launched, providing high-resolution imagery to analyze areas and sites. This program was continued in the following years, and reconnaissance satellites became an important means of collecting geospatial data.
Need satellite imagery or help choosing the right data?
Describe your task, area of interest, and desired outcome. We will check data
availability, assess new acquisition options, and propose the optimal solution in terms of timelines, cost,
and quality.
Discuss the project
clients who trust us
25+ years in the geodata market
