Jul 14, 2023 · This study evaluates the use of time series Sentinel-1 VH/VV for LAI imputation, aiming to increase spatial-temporal density.

This study evaluates the use of time series Sentinel-1 VH/VV for LAI imputation, aiming to increase spatial-temporal density. We utilize a bidirectional LSTM ( ...

Plenty of experimental results show that the LAI imputation results provided by the BiLSTM method are much better than traditional regression methods, such as ...

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network. ... Data and the Earth Observation Land Data Assimilation System (EO-LDAS).

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network. W Zhao, F Yin, H Ma, Q Wu, J Gomez-Dans, P Lewis. arXiv preprint arXiv: ...

LAI imputation performance using different methods. 20 points are used... Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network.

Jun 30, 2024 · ... and P Lewis,. “Combining multitemporal optical and sar data for lai imputa- tion with bilstm network,” arXiv preprint arXiv:2307.07434,. 2023 ...

我们利用双向LSTM (BiLSTM) 网络来估算时间序列LAI，并使用每个时间步长的半均方误差作为损失函数。我们仅使用Sentinel-1 VH/VV 和Sentinel-2 生成的LAI 数据对德国南部和 ...

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network · Environmental Science, Agricultural and Food Sciences. ArXiv · 2023.

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network. The Leaf Area Index (LAI) is vital for predicting winter wheat yield.