Forecasting NDVI in multiple complex areas using neural network techniques combined feature engineering

Forecasting NDVI in multiple complex areas using neural network techniques combined feature engineering

NDVI (Normalized difference vegetation index) is a critical variable for monitoring climate change, studying ecological balance, and exploring the pattern of regional phenology. Traditional neural network models only consider image features in time series prediction, while historical data and its ch...

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Bibliographic Details
Main Authors: Changlu Cui, Wen Zhang, ZhiMing Hong, LingKui Meng
Format: Article
Language:English
Published: Taylor & Francis Group 2020-12-01
Series:International Journal of Digital Earth
Subjects:
sf-cnn
feature engineering
cnn
ndvi
time series prediction
Online Access:http://dx.doi.org/10.1080/17538947.2020.1808718

Internet

http://dx.doi.org/10.1080/17538947.2020.1808718

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