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Inference of Aerosol and Land use Interactions from Remote Sensing Data (AerosolLand)
Coordinators: | Dr. Thomas Jarmer, Dr. Sascha Klonus |
Project partner: | Dr. David Broday, Yael Etzion (Technion - Civil and Environmental Engineering) |
Remote sensing methodologies provide means for monitoring spatial and temporal patterns of ambient aerosol properties that are relevant to air pollution and health hazards. In particular, acquisition of hyperspectral data allows for better discrimination between physical and chemical characteristics of aerosols in the atmosphere. We have developed a procedure for ground level hyperspectral imaging of horizontal/oblique ambient air columns that records spectral response to aerosols in the open path. This procedure enables the retrieval of concentrations of several mixed fine aerosol modes (smaller than 2.5 μm) over urban scale open paths (~1km). Since retrieval of aerosol size resolved concentrations from observed spectra is an inherently ill posed problem, we propose to combine into the process spatial information on land use and land cover, in order to constrain the solution. Data from various remote sensing platforms (ground hyperspectral measurements and satellite data) will be acquired over open paths in the study region in Israel, which is characterized by heterogeneous land use/land cover patterns. Satellite data will be cross-calibrated by field measurements. Different land use/ land cover parameters will be analyzed in order to understand their effects on the aerosol size distribution parameters. Comparison of results obtained under different land uses and land covers will be used to study how future land use changes may affect the aerosol size distribution and concentration, and may point out which land cover modifications can modify the aerosol size distribution and help in reducing public health risks. We expect that land cover/land use information will improve the aerosol retrieval from hyperspectral data. | |
Duration: | 01.03.2012 - 28.02.2015 |
Funding: | Niedersachsen Israeli Research Cooperation Program |
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