首页|Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland
Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland
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NSTL
Elsevier
Grasslands in the Iberian Peninsula are some of the most valuable ecosystems in Europe and are vulnerable because of their location in arid-semiarid regions. Remote sensing techniques have the potential for monitoring grasslands using vegetation indices (VIs), which can reveal bare soil and non-photosynthetic vegetation reflectance in these regions. The temporal variability of the VI time-series is commonly measured as the standard deviation of the records, insufficient to study the system dynamics. Recurrence plots (RP) and recurrence quantification analysis (RQA) allow us to visualize and quantify system dynamics based on topology. These advanced analyses calculate stochasticity through determinism (DET) and predictability degree based on the average length of diagonal structures (LT). This study aims to evaluate RPs, Cross Recurrence Plots (CRP), and RQA to visualize and quantify VIs and climatic series and their anomalies responses dynamics.
Recurrence plotsCross-recurrence plotsRecurrence quantification analysisResidual adjustment factorAgro-climatic zones
Almeida-Naunay, Andres F.、Benito, Rosa M.、Quemada, Miguel、Losada, Juan C.、Tarquis, Ana M.
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Univ Politecn Madrid, Ctr Estudios & Invest Gest Riesgos Agr & Medioamb, CEIGRAM, Senda Rey 13, Madrid 28040, Spain
NSTL
Elsevier
