机译:一种用于提高卫星PM_(2.5)的可解释性和预测准确性的空间时间可解释的深度学习模型
Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;
Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;
Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;
Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China;
Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;
Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;
Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;
Chinese Acad Sci Inst Remote Sensing & Digital Earth DaTun Rd 20 North Beijing 100101 Peoples R China;
MODIS; Deep learning; PM2.5; Interpretability;