The development of air quality indices through image-retrieved AOT and PM10 measurements in Limassol CyprusSPIE Remote Sensing 2012: Remote Sensing of Clouds and the Atmosphere XVII and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII (2012)
AbstractResearch indicates that aerosol optical thickness (AOT) values and particulate matter (PM10) measurements can be used as indicators of atmospheric pollution. The problem of relating AOT with suspended particulate matter near the ground is still an open question. While satellite images can provide reliable and synoptic measurements from space, comparisons with monitoring surface level air pollution continues to be a challenge since satellite measurements are columnintegrated quantities. In this study, in-situ spectroradiometric measurements were taken during satellite overpass using field spectrometers to obtain the reflectance values of the considered calibration targets used. Sun photometer measurements were taken with the Microtops hand-held sun photometer to measure AOT. Meteorological data was collected from nearby meteorological stations and PM10 measurements were collected from local mobile air pollution stations. Following, the darkest pixel method of atmospheric correction was applied to a series of Landsat satellite images. The reflectance values of the atmospherically-corrected image were used in the radiative transfer equation to solve for AOT. Thematic maps were generated in order to develop air quality indices. The image-derived AOT values were examined for a positive correlation with PM10 measurements. It appears that there exists a strong correlation between AOT and PM10 measurements.
- Aerosol optical thickness; particulate matter; spectroscopy; atmospheric correction; air pollution
Publication DateNovember 1, 2012
Citation InformationThemistocleous, K., Hadjimitsis, D. G., Retalis, A. and Chrysoulakis, N., 2012. The development of air quality indices through image-retrieved AOT and PM10 measurements in Limassol Cyprus. In: Proceedings of SPIE Remote Sensing 2012: Remote Sensing of Clouds and the Atmosphere XVII and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII. Proc. of SPIE Vol. 8534, 85340B; doi: 10.1117/12.974701.