Advanced Remote Sensing Approaches for Multi-Scale Atmospheric Components Monitoring and Impact Assessment

Dear Colleagues,

Atmospheric components such as aerosols, clouds, and trace gases play pivotal roles in radiative transfer simulations, atmospheric optical propagation effect assessments, and climate change studies. These constituents modulate the Earth’s energy balance through scattering, absorption, and emission processes, directly influencing weather patterns, air quality, and long-term climatic trends. Recent advancements in space- and ground-based active and passive remote sensing technologies—including lidar, hyperspectral imagers, and next-generation spectrometers—have enabled the unprecedented multi-scale monitoring of these components, offering critical insights into their spatiotemporal variability and interactions.

This Special Issue focuses on pioneering, innovative, and fundamental research on advanced retrieval algorithms, multi-source data fusion, multi-scale radiative transfer modeling, and impact assessment methodologies. By integrating cutting-edge observational techniques with theoretical and computational advances, this collection aims to address challenges in characterizing atmospheric dynamics, quantifying uncertainties, and improving predictive capabilities for environmental, climate, and optoelectronic engineering applications. The scope includes, but is not limited to, the following:

• Novel sensor technologies and calibration methods for aerosol, cloud, and trace gas monitoring;
• Advanced retrieval algorithms and modeling techniques to determine multi-scale atmospheric constituent distributions and their microphysical and optical properties;
• Multi-source data fusion and assimilation methodologies to resolve spatiotemporal mismatches and enhance resolution;
• Case studies linking remote sensing observations to radiative transfer, laser propagation, and climate model validation and impact assessments.

We look forward to receiving your valuable contributions.

Dr. Shengcheng Cui
Dr. Bing Chen
Prof. Dr. Yong Han
Dr. Zhen Wang
Dr. Zhenzhu Wang
Guest Editors

Manuscript Submission Information

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