High‐resolution post‐process corrected satellite AOD

Geophysical Research Letters(2022)

引用 0|浏览11
暂无评分
摘要
Poor air quality poses a great threat to human health. Accurate high-resolution satellite remote sensing of atmospheric aerosols would highly benefit satellite-based air quality estimates. We have developed and validated a post-process correction and downscaling approach for satellite remote sensing of aerosols. We use NASA's Moderate Resolution Imaging Spectroradiometer aerosol optical depth (AOD) over the Washington D.C.-Baltimore area during the Distributed Regional Aerosol Gridded Observation Networks campaign in 2011 to evaluate our approach. We derive and evaluate the AOD fields at high 250 m resolution. The results show that the post-process correction approach is suitable for deriving downscaled, high-resolution AOD estimates and significantly improves the accuracy of the AOD retrievals.
更多
查看译文
关键词
satellite retrieval, aerosol, atmosphere, machine learning, downscaling, post-processing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要