首页|Reports from Zhejiang A&F University Advance Knowledge in Machine L earning (Comprehensive Representations of Subpixel Land Use and Cover Shares by Fusing Multiple Geospatial Datasets and Statistical Data with Machine-Learning M ethods)
Reports from Zhejiang A&F University Advance Knowledge in Machine L earning (Comprehensive Representations of Subpixel Land Use and Cover Shares by Fusing Multiple Geospatial Datasets and Statistical Data with Machine-Learning M ethods)
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 DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting originating from Han gzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “L and use and cover change (LUCC) is a key factor influencing global environmental and socioeconomicsystems. Many long-term geospatial LUCC datasets have been de veloped at various scales duringthe recent decades owing to the availability of long-term satellite data, statistical data and computationaltechniques.”
NETL
NSTL
