Formulation of Satellite-UAVs Integration System for Earth Remote Sensing in the Republic of the Union of Myanmar
Journal: RUDN Journal of Engineering Researches (Vol.26, No. 4)Publication Date: 2025-12-25
Authors : Alexandr Starkov; Mar Zin; Oleg Samusenko; Myo Aung; Htet Nay;
Page : 359-375
Keywords : Remote sensing of the Earth; hybrid remote sensing system; satellite imaging; UAV-based monitoring; agriculture monitoring;
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.
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