Not logged in.png)
Share.png)
SaveShare Save Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm
Guo, Xiaozheng; Yao, Yunjun; Tang, Qingxin; Liang, Shunlin; Shao, Changliang; Fisher, Joshua B.; Chen, Jiquan; Jia, Kun; Zhang, Xiaotong; Shang, Ke; Yang, Junming; Yu, Ruiyang; Xie, Zijing; Liu, Lu; Ning, Jing; Zhang, Lilin Share Save Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration productsXie, Zijing; Yao, Yunjun; Tang, Qingxin; Liu, Meng; Fisher, Joshua B.; Chen, Jiquan; Zhang, Xiaotong; Jia, Kun; Li, Yufu; Shang, Ke; Jiang, Bo; Yang, Junming; Yu, Ruiyang; Zhang, Xueyi; Guo, Xiaozheng; Liu, Lu; Ning, Jing; Fan, Jiahui; Zhang, Lilin Share Save Share Save Soil moisture at 30 m from multiple satellite datasets fused by random forestNing, Jing; Yao, Yunjun; Tang, Qingxin; Li, Yufu; Fisher, Joshua B.; Zhang, Xiaotong; Jia, Kun; Xu, Jia; Shang, Ke; Yang, Junming; Yu, Ruiyang; Liu, Lu; Zhang, Xueyi; Xie, Zijing; Fan, Jiahui Share Save Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary productionYu, Ruiyang; Yao, Yunjun; Tang, Qingxin; Shao, Changliang; Fisher, Joshua B.; Chen, Jiquan; Jia, Kun; Zhang, Xiaotong; Li, Yufu; Shang, Ke; Yang, Junming; Liu, Lu; Zhang, Xueyi; Guo, Xiaozheng; Xie, Zijing; Ning, Jing; Fan, Jiahui; Zhang, Lilin Share Save Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan PlateauShang, Ke; Yao, Yunjun; Di, Zhenhua; Jia, Kun; Zhang, Xiaotong; Fisher, Joshua B.; Chen, Jiquan; Guo, Xiaozheng; Yang, Junming; Yu, Ruiyang; Xie, Zijing; Liu, Lu; Ning, Jing; Zhang, Lilin Share Save A novel TIR-derived three-source energy balance model for estimating daily latent heat flux in mainland China using an all-weather land surface temperature productYang, Junming; Yao, Yunjun; Shao, Changliang; Li, Yufu; Fisher, Joshua B.; Cheng, Jie; Chen, Jiquan; Jia, Kun; Zhang, Xiaotong; Shang, Ke; Yu, Ruiyang; Guo, Xiaozheng; Xie, Zijing; Liu, Lu; Ning, Jing; Zhang, Lilin Share Save The Global LAnd Surface Satellite (GLASS) evapotranspiration product Version 5.0: Algorithm development and preliminary validationXie, Zijing; Yao, Yunjun; Zhang, Xiaotong; Liang, Shunlin; Fisher, Joshua B.; Chen, Jiquan; Jia, Kun; Shang, Ke; Yang, Junming; Yu, Ruiyang; Guo, Xiaozheng; Liu, Lu; Ning, Jing; Zhang, Lilin Share Save DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary informationShang, Ke; Yao, Yunjun; Liang, Shunlin; Zhang, Yuhu; Fisher, Joshua B.; Chen, Jiquan; Liu, Shaomin; Xu, Ziwei; Zhang, Yuan; Jia, Kun; Zhang, Xiaotong; Yang, Junming; Bei, Xiangyi; Guo, Xiaozheng; Yu, Ruiyang; Xie, Zijing; Zhang, Lilin Share Save A Novel NIR-Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of ChinaYao, Yunjun; Liang, Shunlin; Fisher, Joshua B.; Zhang, Yuhu; Cheng, Jie; Chen, Jiquan; Jia, Kun; Zhang, Xiaotong; Bei, Xiangyi; Shang, Ke; Guo, Xiaozheng; Yang, Junming Share Save ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis ProductsChen, Xiaowei; Yao, Yunjun; Li, Yufu; Zhang, Yuhu; Jia, Kun; Zhang, Xiaotong; Shang, Ke; Yang, Junming; Bei, Xiangyi; Guo, Xiaozheng Share Save Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 DataBei, Xiangyi; Yao, Yunjun; Zhang, Lilin; Lin, Yi; Liu, Shaomin; Jia, Kun; Zhang, Xiaotong; Shang, Ke; Yang, Junming; Chen, Xiaowei; Guo, Xiaozheng Share Save Share Save 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
