首页|Studies from Xinjiang University Further Understanding of Machine Learning (Ensemble Machine-Learning-Based Framework for Estimating Surface Soil Moisture Using Sentinel-1/2 Data: A Case Study of an Arid Oasis in China)
Studies from Xinjiang University Further Understanding of Machine Learning (Ensemble Machine-Learning-Based Framework for Estimating Surface Soil Moisture Using Sentinel-1/2 Data: A Case Study of an Arid Oasis in China)
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 Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Urumqi, People ’s Republic of China, by NewsRx editors, research stated, “Soil moisture (SM) is a critical parameter in Earth’s water cycle, significantly impacting hydrologic al, agricultural, and meteorological research fields.”
NETL
NSTL
