Environmental Science
3 years ago

Machine learning algorithms predict vegetation growth with high accuracy, revolutionizing environmental forecasting.

1 view
Remote Sensing Applications Society and Environment
Optimum machine learning algorithm selection for forecasting vegetation indices: MODIS NDVI & EVI
Bishal Roy

Paper Summary

The article discusses using machine learning to predict vegetation indices like NDVI and EVI. The researchers analyzed MODIS data from 2001 to 2018 and tested four algorithms. The models had low errors in forecasting NDVI and EVI, but couldn't predict sudden changes midyear in some cases. Overall, the data showed an increasing trend in vegetation cover over time.

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