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DA-vanderHoek/pixel-lstm-forecasting: PDF ino

Domaine:

environment and energygeospatial
Créateur:
Daa
Éditeur:
Zenodo
Hôte:avatar
Forecasting vegetation dynamics (EVI) across Southern Africa using pixel-level LSTM models and environmental drivers.

Visit

doi.orgzenodo.org

Licenses

MIT Licensehttps://opensource.org/licenses/MIT

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DA-vanderHoek/pixel-lstm-forecasting: Added PDF reportDA-vanderHoek/pixel-lstm-forecastingDA-vanderHoek/pixel-lstm-forecasting: Data statementDA-vanderHoek/pixel-lstm-forecasting: Initial release

DA-vanderHoek/pixel-lstm-forecasting: Added PDF report

Forecasting vegetation dynamics (EVI) across Southern Africa using pixel-level LSTM models and envir

DA-vanderHoek/pixel-lstm-forecasting

Forecasting vegetation dynamics (EVI) across Southern Africa using pixel-level LSTM models and envir

DA-vanderHoek/pixel-lstm-forecasting: Data statement

Forecasting vegetation dynamics (EVI) across Southern Africa using pixel-level LSTM models and envir

DA-vanderHoek/pixel-lstm-forecasting: Initial release

First release of the pixel-level LSTM forecasting model for EVI prediction in Southern Africa. Inclu