Advanced Communication Systems for Satellite-Based Ecological Parameter Retrieval

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 November 2026 | Viewed by 195

Editors


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School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: space-air-ground integrated network; mega constellation operation management; distributed optimization; robust hypothesis testing
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Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8657, Japan
Interests: cellular RAN; MIMO transmission; AI for networking; SAGIN; industrial internet
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Department of Creative Informatics, The University of Tokyo, Tokyo 113-8654, Japan
Interests: autonomous driving; planning and control; collision avoidance

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Guest Editor
College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
Interests: Internet-of-Things; topology robustness optimization; time-sensitive network; machine learning; quantum intelligence
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Guest Editor
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
Interests: wireless resource allocation; massive MIMO; near-field communications; satellite communications

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Guest Editor
Peng Cheng Laboratory, Department of Strategic and Advanced Interdisciplinary Research, Shenzhen 518066, China
Interests: wireless communication; deep reinforcement learning; beamforming; wireless access control; resource allocation

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Guest Editor
Tongji University, College of Electronic and Information Engineering, Shanghai 201804, China
Interests: statistics and optimization methods (both algorithmic design and theory) with applications in information fusion, multi-sensor systems, and distributed optimization

Special Issue Information

Dear Colleagues,

With the accelerating climate change and biodiversity loss, the real-time and accurate retrieval of ecological parameters, such as vegetation indices, biomass, and soil moisture, is crucial for monitoring and management of Earth's natural systems. To acquire these parameters at global scales, satellite-based ecological parameter retrieval plays an important role, especially in marine regions and remote areas. However, due to limitations of onboard storage, downlink bandwidth, and transmission latency, a paradigm shift in satellite communication systems is required.

Recent advancements in communication technologies, such as high-throughput satellite networks, have significantly improved the efficiency and speed of data transmission. Moreover, satellite constellations are now capable of offering continuous and high-resolution monitoring, even in the most remote and hard-to-reach regions. Advanced communication technologies, including high-throughput laser links, intelligent onboard processing, dynamic spectrum allocation, and resilient network protocols, are essential to bridge the gap between massive data acquisition in orbit and actionable ecological insights on the ground. These advancements facilitate the retrieval of ecological parameters with increased accuracy and on an unprecedented scale.

This Special Issue aims to explore the latest advancements in satellite-based communication systems and their application in ecological parameter retrieval. By highlighting the integration of satellite constellations, machine learning techniques, and real-time data transmission, this Special Issue seeks to advance the scientific understanding of how satellite-based systems can contribute to global ecological monitoring efforts.

We look forward to receiving your contributions.

Dr. Ting Ma
Dr. Bo Qian
Dr. Pengfei Lin
Dr. Songwei Zhang
Dr. Ran Li
Dr. Hang Zhou
Dr. Dunbiao Niu
Guest Editors

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Keywords

  • satellite communication systems
  • ecological parameter retrieval
  • space–air–ground-integrated networks
  • onboard data processing and compression
  • 6G and beyond networks with AI
  • multi-sensor and distributed system design and algorithmic issues
  • AoI/freshness optimization
  • loT and robust networking
  • integrated sensing and communication (ISAC)
  • enhanced planning and control

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