Dec 21, 2023 · Improving Regional Evapotranspiration Prediction Accuracy through Data Fusion Using a GCN-GRU Model: The Case of Qinghai Province.

In this study, we evaluate the accuracy of two types of actual Evapotranspiration (ET) data (GLEAM and ERA5_Land) by comparing them with on-site observations.

Article "Improving Regional Evapotranspiration Prediction Accuracy through Data Fusion Using a GCN-GRU Model: The Case of Qinghai Province" Detailed ...

A remote sensing-based method for daily evapotranspiration mapping and partitioning in a poorly gauged basin with arid ecosystems in the Qinghai-Tibet Plateau.

Improving Regional Evapotranspiration Prediction Accuracy through Data Fusion Using a GCN-GRU Model: The Case of Qinghai Province. CSAE 2023: 15:1-15:7. [+] ...

Improving Regional Evapotranspiration Prediction Accuracy through Data Fusion Using a GCN-GRU Model: The Case of Qinghai Province. 2023, ACM International ...

... Accuracy through Data Fusion Using a GCN-GRU Model: The Case of Qinghai Province ... regional precipitation data fusion model based on BP-LSTM in Qinghai province.

Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion.

Improving Regional Evapotranspiration Prediction Accuracy through Data Fusion Using a GCN-GRU Model: The Case of Qinghai ProvinceChang Liu, Xiaodan Zhang, ...

Improving Regional Evapotranspiration Prediction Accuracy through data fusion using a GCN-GRU Model The case of Qinghai Province, China, Chang Liu, Qinghai ...