Tree-based ensemble deep learning model for spatiotemporal surface ozone (O) prediction and interpretation

Published: 01 Jan 2021, Last Modified: 14 May 2025Int. J. Appl. Earth Obs. Geoinformation 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The proposed model predicting surface O3 was evaluated at both national and urban scales in China.•Linear and nonlinear relationships were investigated between MODIS TOA and O3.•The proposed model can extract spatiotemporal characteristics from data.
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