LSTM-Based Prediction of Mediterranean Vegetation Dynamics Using NDVI Time-Series Data

LSTM-Based Prediction of Mediterranean Vegetation Dynamics Using NDVI Time-Series Data

Vegetation index time-series analysis of multitemporal satellite data is widely used to study vegetation dynamics in the present climate change era. This paper proposes a systematic methodology to predict the Normalized Difference Vegetation Index (NDVI) using time-series data extracted from the Mod...

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Bibliographic Details
Main Authors: Christos Vasilakos, George E. Tsekouras, Dimitris Kavroudakis
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Land
Subjects:
remote sensing
NDVI
machine learning
LSTM
spatiotemporal forecasting
Online Access:https://www.mdpi.com/2073-445X/11/6/923

Internet

https://www.mdpi.com/2073-445X/11/6/923

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