Development of a Green-Based Quantitative Assay Using Time Series to Detect Risks

Abstract

Designing efficient algorithms for forecasting of the state of the environment is one of the most important challenges in the field of time series analysis and accurate prediction. With the exponential rate of development of remote sensing and with the availability of fast computing platforms, it has now become possible to effectively and efficiently make use of vulnerability indicators forest stands.