A neural architecture with a horizon-weighted quantile loss forecasts field-level NDVI from irregular satellite observations and weather covariates, outperforming baselines on European data.
An integrated artificial intelligence-deep learning approach for vegetation canopy assessment and monitoring through satellite images,
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Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates
A neural architecture with a horizon-weighted quantile loss forecasts field-level NDVI from irregular satellite observations and weather covariates, outperforming baselines on European data.