Learning extreme vegetation response to climate drivers with recurrent neural networks
<p>The spectral signatures of vegetation are indicative of ecosystem states and health. Spectral indices used to monitor vegetation are characterized by long-term trends, seasonal fluctuations, and responses to weather anomalies. This study investigates the potential of neural networks in lear...
| Published in: | Nonlinear Processes in Geophysics |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-11-01
|
| Online Access: | https://npg.copernicus.org/articles/31/535/2024/npg-31-535-2024.pdf |