Short and Medium-Term Prediction of Winter Wheat NDVI Based on the DTW–LSTM Combination Method and MODIS Time Series Data

Short and Medium-Term Prediction of Winter Wheat NDVI Based on the DTW–LSTM Combination Method and MODIS Time Series Data

The normalized difference vegetation index (NDVI) is an important agricultural parameter that is closely correlated with crop growth. In this study, a novel method combining the dynamic time warping (DTW) model and the long short-term memory (LSTM) deep recurrent neural network model was developed t...

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Autores principales: Fa Zhao, Guijun Yang, Hao Yang, Yaohui Zhu, Yang Meng, Shaoyu Han, Xinlei Bu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
normalized difference vegetation index (NDVI)
prediction
dynamic time warping (DTW)
LSTM
MODIS
Science
Q
Acceso en línea:https://doaj.org/article/81aae3657daa43ed92761ff20d95cedb
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