Formulation of Satellite-UAVs Integration System for Earth Remote Sensing in the Republic of the Union of Myanmar


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Abstract

The article develops the concept of a Hybrid Earth Remote Sensing System (HERS) for Myanmar, integrating Low-Earth Orbit (LEO) satellites and Unmanned Aerial Vehicles (UAVs) to obtain near real-time, high-resolution geospatial data for environmental monitoring and disaster risk management tasks. Analysis of the existing Earth remote sensing infrastructure and implemented projects revealed several limitations: high latency of satellite systems, cloud-cover interference, restricted data availability, and institutional barriers, including weak interagency coordination, a shortage of trained personnel, and insufficient funding. As a result of the study, the HERS architecture is formulated, including integration of satellites and UAVs, the use of multifrequency and laser communication channels, and energy-efficient UAVs with modular payloads (SAR, hyperspectral, and infrared sensors), providing compatible processing and rapid data transmission to the national GIS infrastructure. It is shown that the proposed system improves the spatiotemporal resolution of observations, reduces the impact of cloud cover, lowers operational costs compared with predominantly satellite-based solutions, and expands the range of practical tasks; from monitoring agriculture, forests, and water resources to near real-time response to floods and cyclones. The practical significance of the work lies in the fact that implementation of HERS, together with the development of a national GIS platform and specialist training programs, increases Myanmar’s resilience to natural and anthropogenic threats and provides more evidence-based support for decision-making.

About the authors

Alexandr V. Starkov

Moscow Aviation Institute (National Research University)

Author for correspondence.
Email: starkov@goldstar.ru
ORCID iD: 0000-0002-2332-904X
SPIN-code: 5242-3413

Doctor of Technical Sciences, Professor of the Department of System Analysis and Control

4 Volokolamskoe highway, Moscow, 125993, Russian Federation

Mar Lwin Zin

Mandalay Technological University

Email: drzinmar80@gmail.com
ORCID iD: 0009-0008-5824-2578

PhD (Technical Sciences), Professor of the Department of Remote Sensing

Aung Chan Thar Quarter, Patheingyi Township, Mandalay Division Mandalay, Myanmar

Oleg E. Samusenko

RUDN University

Email: samusenko@pfur.ru
ORCID iD: 0000-0002-8350-9384
SPIN-code: 6613-5152

PhD (Technical Sciences), Head of the Department of Innovation Management in Industries, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Myo Thant Aung

Moscow Aviation Institute (National Research University)

Email: aungmyothant4696@gmail.com
ORCID iD: 0009-0000-1159-3292

PhD (Technical Sciences), Doctoral student of the Department of Systems Analysis and Control

4 Volokolamskoe highway, Moscow, 125993, Russian Federation

Htet Linn Nay

Moscow Aviation Institute (National Research University)

Email: nayhtetlinn3014@gmail.com
ORCID iD: 0009-0009-1082-957X

Graduate student of the Department of Systems Analysis and Control

4 Volokolamskoe highway, Moscow, 125993, Russian Federation

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