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Algorithms to distinguish between clouds and aerosols are important in the environmental and remote sensing study. The colour-modulated image from cloud aerosol lidar and infrared pathfinder satellite observation (CALIPSO) has been analysed in this study. CALIPSO is currently obtaining global aerosol and cloud measurements from space. We study the possibility to apply EASI modelling algorithms to...
Remotely sensed can be the only data source in rural and remote areas where no ground-based measurements are taken. This image is used to detect air pollution at regional level, in coarser resolution. Remotely sensed data can be used qualitatively to provide a regional view of pollutants and to help assess the impact of events such as biomass burning or dust transport from remote sources. In this...
This paper outlines recent developments in optical remote sensing of Landsat TM data for air quality monitoring for atmospheric particulate matter having a diameter less than 10-micro meter (PM10). The objective of this study is to evaluate the performance of the developed algorithm and suitability of remote sensing data for PM10 mapping. We used a DustTrak Aerosol Monitor 8520 to collect in situ...
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