Multi-Source Remote Sensing for Environmental Component Monitoring and Target Detection
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 July 2025 | Viewed by 26
Special Issue Editors
2. Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
Interests: clouds; boundary layer; aerosols; turbulence; satellite; atmospheric radiation; atmospheric pollution; dust; atmospheric modeling
Interests: wetland remote sensing; remote sensing of water environment and water ecology; vegetation remote sensing
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2. National Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China
Interests: laser imaging technology; laser image processing; target recognition; spatial light information technology; Gm-APD; low, slow, and small target detection
Interests: atmospheric detection; incoherent wind lidar; laser technology; opto-mechanical design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In environmental component monitoring and target detection, multi-source remote sensing technologies have emerged as a powerful tool for comprehensive analysis and observation. This approach, known as multi-source remote sensing, enables a synergistic fusion of data from various sources, such as satellites, ground-based sensors, and aerial platforms, to enhance the accuracy and range of environmental component monitoring.
Multi-source remote sensing data are derived from various platforms, encompassing Lidar, satellites, airborne systems, unmanned aerial vehicles (UAVs), imaging sensors, target detection methodologies, and data assimilation techniques. Lidar delivers finely detailed vertical atmospheric profiles, while satellite observations offer expansive spatial coverage. Airborne platforms and UAVs facilitate precise and adaptable data collection, supplementing ground-level measurements. Laser 3D imaging enhances the fidelity of atmospheric reconstruction, whereas target detection technologies pinpoint specific atmospheric elements like pollutants or aerosols. Data assimilation methods amalgamate observations with models to refine the precision of atmospheric forecasts.
In addition, the comprehensive application of these diverse data sources enables high-precision comprehensive observations of factors that play a key role in the evolution of the climate environment, such as vegetation coverage, solar irradiance, water vapor flux, and atmospheric turbulence. The in-depth exploration of multi-source remote sensing technology can further strengthen the fine-grained monitoring of the dynamic change in environmental components, deepen human understanding and cognition of the complex interaction mechanism between environmental components and natural ecosystems, and thus provide a more solid data foundation and theoretical support for climate and environmental research. To help promote sustainable development and innovative breakthroughs in scientific research in related fields.
This Special Issue invites manuscripts introducing recent advances in “Multi-Source Remote Sensing for Environmental Component Monitoring and Target Detection”. All theoretical, numerical, and experimental papers are accepted. Topics include, but are not limited to, the following:
- New atmospheric detection technologies and methods (such as Lidar, Radar, SAR, Airborne, Satellite, Spectrometer, UAV, etc.).
- Multi-source remote sensing technology in climate change, environmental monitoring, pollution transport, ocean change, and ecosystems.
- Effects of turbulence, solar irradiance, water vapor flux, and vegetation coverage on the interaction of environment and climate.
- Novel spatiotemporal intelligence method of multi-source remote sensing data.
- Novel/optimized algorithms in multi-platform sensors (Satellite, SAR, Lidar, Sonde, Radar, UAV, etc.).
- Lidar and infrared technology in target detection, 3D imaging, and spatial localization.
- Novel single photon technology and GM-APD in target detection and remote sensing.
Dr. Tao Luo
Dr. Juhua Luo
Dr. Jianfeng Sun
Dr. Jianfeng Chen
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- environmental component monitoring
- atmospheric detection
- target detection
- lidar
- floating platform
- satellite
- airborne
- unmanned aerial vehicles (UAVs)
- collaborative observation
- data assimilation
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