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A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2.5

Xing Yan, Zhou Zang, Yize Jiang, Wenzhong Shi, Yushan Guo, Dan Li, Chuanfeng Zhao, Husi Letu

2021Environmental Pollution103 citationsDOI

Topics & Concepts

InterpretabilityDeep learningArtificial intelligenceSatelliteComputer scienceMachine learningRemote sensingPattern recognition (psychology)GeographyEngineeringAerospace engineeringAir Quality Monitoring and ForecastingAtmospheric chemistry and aerosolsAtmospheric aerosols and clouds
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2.5 | Litcius