首页|Researchers from Peking University Report Findings in Machine Learning (Estimati on of Nighttime Aerosol Optical Depths Using Atmospheric Infrared Sounder Longwa ve Radiances)
Researchers from Peking University Report Findings in Machine Learning (Estimati on of Nighttime Aerosol Optical Depths Using Atmospheric Infrared Sounder Longwa ve Radiances)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting from Beijing, People’s Republic of Chin a, by NewsRx journalists, research stated, “Aerosol remote sensing typically rel ies on reflected shortwave radiation and thus lacks nighttime retrievals. Here w e made an original attempt to retrieve nighttime aerosol optical depth (AOD) by utilizing longwave measurements in the atmospheric window region from the Atmosp heric InfraRed Sounder (AIRS) instrument.”
BeijingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningPeking University
NETL
NSTL
