Evaluation of MODIS DT, DB, and MAIAC Aerosol Products over Different Land Cover Types in the Yangtze River Delta of China
نویسندگان
چکیده
The Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) has been widely used in atmospheric environment and climate change research. Based on data of the Aerosol Robotic Network Sun–Sky Radiometer Observation Yangtze River Delta, retrieval accuracies MODIS C6.1 Dark Target (DT), Deep Blue (DB), C6.0 Multi-angle Implementation Atmospheric Correction (MAIAC) products under different land cover types, observation geometries were analyzed. About 65.64% MAIAC AOD is within expected error (Within EE), which significantly higher than 41.43% for DT 56.98% DB. product accuracy varies most obviously with seasons, Within EE winter more three times that spring. DB have low summer but high other seasons. gradually decreases increase urban water land-cover proportion. After being corrected by bias mean relative error, improved, increases 24.12% 32.33%, respectively. types also examined to investigate their effects retrieval.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2072-4292']
DOI: https://doi.org/10.3390/rs15010275