The paper addresses the design of a geoinformation infrastructure for spatial data intended for coordinated groups of unmanned systems operating in air, ground, and maritime domains. It is shown that C4ISR/DCGS architectures, UTM/U‑Space air traffic management systems, off‑the‑shelf ground control stations, and domestic tactical‑level automated control systems do not solve the problem of real‑time multi‑domain geoinformation integration: the characteristics of geodata sources vary by three to five orders of magnitude in update rate and data volume; coordinate system mismatches cause displacement errors of up to 150 m; and hydroacoustic channel latency reaches 6 seconds over a distance of 3 km. In response, a hierarchical geoinformation infrastructure distributed across five levels is proposed: on‑board, swarm “mothership”, mobile ground control post, regional node, and central node. Each level implements a geoinformation pipeline while maintaining autonomy in the event of communication loss. The composition, functions, and interconnections of seven geoinformation subsystems (M1–M7) are defined. It is established that the M1 → M2 → M3 chain is a necessary condition for the operability of the cartographic situational model.
A federative model of cross‑agency geoinformation integration is proposed, based on a unified spatial data ontology and an RBAC/ABAC access model.

Yaroslav A. Petrov
Candidate of Technical Sciences, Associate Professor
Associate Professor of the Department of Applied Informatics
Russian State Hydrometeorological University
79, Voronezhskaya Str., Saint-Petersburg, 192007, Russia
е-mail: yaroslav.petrov025@gmail.com
ORCID: 0000-0002-9185-441X
SPIN-code: 4170-3003
AuthorID: 899415

Evgeny P. Istomin
Doctor of Technical Sciences, Professor
Director of the Institute of Information Systems and Geotechnologies
Russian State Hydrometeorological University
79, Voronezhskaya Str., St. Petersburg, 192007, Russia
e-mail: biom220@bk.ru
ORCID: 0000-0001-6247-4373
Scopus ID: 56951051300
SPIN-code: 6404-9070
AuthorID: 333123

1. Steinberg A.N., Bowman C.L. Revisions to the JDL data fusion model. In: Liggins M.E., Hall D.L., Llinas J. (eds.) Handbook of multisensor data fusion: theory and practice. 2nd ed. Boca Raton: CRC Press; 2008. pp. 45–67.
2. Bar-Shalom Y., Li X.R., Kirubarajan T. Estimation with applications to tracking and navigation: theory, algorithms and software. New York: Wiley, 2001. 584 p.
3. Zhang K., Yang Z., Başar T. Multi-agent reinforcement learning: a selective overview of theories and algorithms. In: Vamvoudakis K.G., Wan Y., Lewis F.L., Cansever D. Handbook of reinforcement learning and control. Cham: Springer, 2021. pp. 321–384.
4. Summary of the Joint All-Domain Command and Control (JADC2) strategy. Department of Defense. Washington: DOD; 2022. 8 p.
5. Ritchie M., Fioranelli F., Borrion H., Griffiths H. Multistatic micro-Doppler radar feature extraction for classification of unloaded/loaded micro-drones. IET radar, sonar & navigation. 2017:11(1):116–124. DOI: 10.1049/iet-rsn.2016.0063.
6. Feng D., Haase‑Schütz C., Rosenbaum L., Hertlein H., Gläser C., Timm F. Deep multi-modal object detection and semantic segmentation for autonomous driving: datasets, methods, and challenges. IEEE transactions on intelligent transportation systems. 2021;22(3):1341–1360. DOI: 10.1109/TITS.2020.2972974.
7. Wojke N., Bewley A., Paulus D. Simple online and realtime tracking with a deep association metric. 2017 IEEE International Conference on Image Processing (ICIP). Piscataway: IEEE; 2017. pp. 3645–3649. DOI: 10.1109/ICIP.2017.8296962.
8. Shafer G. A mathematical theory of evidence. Princeton: Princeton University Press; 1976. 297 p.
9. Istomin E., Martyn I., Petrov Ya. Construction of an Optimal Logistics Route in the Sea under Ice Conditions Based on Data from Unmanned Aerial Vehicles. Information and Space. 2025;(2):103–108.
10. Vagizov M.R., Kuzin P.I., Zhovnerov N.S., Ivanov G.S., Petrov Ya.A. Autonomous Mapping of Forest Vegetation by UAV Grouping (Part 1). Geoinformatika. 2025;(4):37–44. DOI: 10.47148/1609-364X-2025-4-37-44.