How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM_2.5 Using Machine Learning?

類似資料

• Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM_2.5 in China—Implications for PM_2.5 Remote Sensing
  著者:: Ling Qi, 等
  出版事項: (2022-06-01)
• Influence of Spatial Resolution on Satellite-Based PM_2.5 Estimation: Implications for Health Assessment
  著者:: Heming Bai, 等
  出版事項: (2022-06-01)
• Estimation of the PM_2.5 and PM₁₀ Mass Concentration over Land from FY-4A Aerosol Optical Depth Data
  著者:: Yuxin Sun, 等
  出版事項: (2021-10-01)
• Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM_2.5 Using a Random Forest Approach
  著者:: Jana Handschuh, 等
  出版事項: (2023-04-01)
• Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM_2.5 Prediction
  著者:: Behzad Kianian, 等
  出版事項: (2021-01-01)