Litcius/Paper detail

DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information

Ke Shang, Yunjun Yao, Shunlin Liang, Yuhu Zhang, Joshua B. Fisher, Jiquan Chen, Shaomin Liu, Ziwei Xu, Yuan Zhang, Kun Jia, Xiaotong Zhang, Junming Yang, Xiangyi Bei, Xiaozheng Guo, Ruiyang Yu, Zijing Xie, Lilin Zhang

2021Agricultural and Forest Meteorology55 citationsDOI

Topics & Concepts

Eddy covarianceEvapotranspirationEnvironmental scienceSatelliteArtificial neural networkCovarianceMean squared errorComputer scienceRemote sensingStatisticsArtificial intelligenceMathematicsGeographyEcosystemEcologyEngineeringBiologyAerospace engineeringPlant Water Relations and Carbon DynamicsHydrology and Watershed Management StudiesHydrology and Drought Analysis