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project_abstract
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Advanced Himawari Imager (AHI) data with a cloud mask algorithm. Aerosol optical depth (AOD) data were analysed to derive pixel-wise aerosol properties (cloud, smoke, dust, fog, absorptive) over a 2 km grid covering Australia (Qin et al., 2015; Qin et al. 2018 - submitted). The AOD fields were derived in 10-minute increments spanning each study timeframe.
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| Qin, Y., R. Mitchell and B. W. Forgan, Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR, in IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 6163-6182, Nov. 2015. doi: 10.1109/TGRS.2015.2433911.
| Qin, Y., Steven, A.D.L., Schroeder, T., McVicar, T.R., Huang, J., Cope, M., Zhou, S., 2018, “Cloud Masking, Cloud Classification and Optical Depth Retrieval of Advanced Himawari Imager data: Development and Evaluation of a Time-Series Radiative Transfer Modelling Based Approach”, Frontiers in Environmental Science, (submitted).
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