Analysis of MODIS NDVI time series using quasi-periodic components

Miguel A. García; Francisco Rodríguez

doi:10.1117/12.2027170

5 August 2013 Analysis of MODIS NDVI time series using quasi-periodic components

Miguel A. García, Francisco Rodríguez

Proceedings Volume 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013); 879523 (2013) https://doi.org/10.1117/12.2027170
Event: First International Conference on Remote Sensing and Geoinformation of Environment, 2013, Paphos, Cyprus

Abstract

NDVI time series data exhibit cyclic behaviors derived from the phenological characteristics of the vegetation. Different forms of Fourier analysis have been effectively used to analyze remote sensed NDVI data, allowing the simultaneous fitting of secular and cyclic components. However, variations in frequencies and/or phases of the cyclic components may exist, that are not considered in typical spectral analysis. In this work, MODIS derived NDVI biweekly time series data are analyzed considering secular and quasi-periodic components, fitted to the data using a smoothing algorithm based on a spectral time-frequency analysis. The algorithm works well with equispaced data, and allows the analysis of temporal variations in cyclic frequencies and phases. Examples of applications in different types of vegetation and conditions in Southeast Spain are shown.

Citation Download Citation

Miguel A. García and Francisco Rodríguez "Analysis of MODIS NDVI time series using quasi-periodic components", Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 879523 (5 August 2013); https://doi.org/10.1117/12.2027170

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