,

Fuxing Li1, Xiaoli Shi2, Shiyao Wang2

  • 1State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China; School of Geographical Sciences, Hebei Normal University, Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Shijiazhuang, 050024, China.

Chemosphere
|July 10, 2024
PubMed
概括

一个新的STG-ERM模型使用气象数据改进了气溶光学深度 (AOD) 检索,大大提高了北京-天津-河北地区的数据覆盖率和准确性. 这种方法为填补卫星-AOD产品缺口提供了一种有价值的方法.

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