2022
DOI: 10.21203/rs.3.rs-2174301/v1
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NDVI forecasting model based on the combination of Time series decomposition and CNN - LSTM

Abstract: Normalized difference vegetation index(NDVI) is the most commonly used factor to reflect vegetation growth status, and improving the prediction accuracy of NDVI is of great significance to the development of regional ecology. In this study, a new NDVI forecasting model based on the combination of time series decomposition(TSD), convolutional neural network (CNN) and long short-term memory (LSTM) was proposed. In order to verify the performance of TSD-CNN-LSTM model and explore the response of NDVI to climatic … Show more

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