Paper
30 November 2004 Comparison of data fusion methods for satellite-assisted determination of PM10 ambient concentration
Dimosthenis A. Sarigiannis, Alberto Gotti, Maria Tombrou, Aggeliki Dandou, Anna Protonotariou, Nicolaos I. Sifakis
Author Affiliations +
Proceedings Volume 5571, Remote Sensing of Clouds and the Atmosphere IX; (2004) https://doi.org/10.1117/12.567883
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain
Abstract
Our recent work has demonstrated the feasibility of using satellite-derived data to draw quantitative maps of particulate loading within the planetary boundary layer. Our method, when used in conjunction with atmospheric dispersion models and ground data, can provide a comprehensive estimate of tropospheric pollution from particulate matter. Information filtering techniques are used to reduce the error of the information fusion algorithm and, consequently, produce the best possible estimate of tropospheric aerosol. Two data filtering methods have been used and their effectiveness with regard to overall error reduction is determined in this work. The first one is based on a weight scheme to take into account an empirical estimate of local error and/or uncertainty in input data. The second uses a modified Kalman filter for error reduction. The effectiveness of each of the filtering techniques depends on factors such as relative error variance across the computational domain, and precision of model input, i.e. on the accuracy of the ground emissions inventory and the reliability of measured ambient aerosol concentrations. The ICAROS NET fusion method was applied in the greater area of Athens, Greece over several days of observation in order to assess conclusively the adequacy of the information fusion filters employed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dimosthenis A. Sarigiannis, Alberto Gotti, Maria Tombrou, Aggeliki Dandou, Anna Protonotariou, and Nicolaos I. Sifakis "Comparison of data fusion methods for satellite-assisted determination of PM10 ambient concentration", Proc. SPIE 5571, Remote Sensing of Clouds and the Atmosphere IX, (30 November 2004); https://doi.org/10.1117/12.567883
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KEYWORDS
Atmospheric modeling

Satellites

Atmospheric particles

Data modeling

Data fusion

Aerosols

Filtering (signal processing)

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