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Remote Sensing is of paramount importance for Earth Observation to monitor and analyze the Earth’s vital signs. In this Special Issue are reported the latest research results involving active optical remote sensing instruments, both from ground-based to satellite platforms, that are involved in analyzing the vertical and horizontal aerosol and cloud distribution, other than their geometrical, optical and microphysical properties. Those active optical remote sensing techniques are also very useful in determining pollutant dispersion and the dynamics inside the boundary layer. The published studies put in evidence the hidden mechanisms on how pollution from the source is advected transnationally in other countries and the interaction with local meteorology.

rainfall --- lidar --- disdrometer --- evaporation --- meteorology --- climate change --- latent heat --- precipitation --- MOD04 --- Dark-Target --- Deep-Blue --- AERONET --- LiDAR --- AOD --- Beijing --- China --- CALIPSO --- dust top height --- frequency of dust occurrence --- pure dust --- polluted dust --- extinction coefficient --- above-cloud aerosol --- low-level cloud --- cloud base height --- ground-based observations --- relative humidity profile --- threshold --- Yunnan–Kweichow Plateau --- low–latitude plateau monsoon climate --- aerosol type and source --- aerosol properties --- monsoon index --- seasonal variation --- aerosol --- aerosol–cloud interactions --- MPLNET --- image processing --- network --- infrastructure --- virga --- black carbon --- Tibetan plateau --- water vapor transport --- South Asian summer monsoon --- East Asian summer monsoon --- PM2.5 --- radar wind profiler --- wind shear --- dual-field-of-view (FOV) --- geometric overlap factor (GOF) --- blind zone --- transition zone --- mass concentration --- stereo-monitoring networks --- Doppler LiDAR --- spatial wind variability --- air quality --- turbulent mixing --- cloud --- Hong Kong --- aerosols --- remote sensing --- wind lidar --- air-pollution --- radiative effects --- ground based remote sensing --- aerosols optical properties --- lidar ratio --- aerosol type