Published December 16, 2023
| Version V1
Dataset
Open
Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM
Creators
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1.
Sun Yat-sen University
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2.
University of Hong Kong
Description
We developed an attention-enhanced long and short memory (AELSTM) model for predicting vegetation LAI time series based on climatic data. The developed AELSTM model establishes the relationships between the time series of vegetation LAI and climatic variables.