Interpreting Annual Time Series with LandTrendr

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Abstract

Time-series analysis of change can be achieved by fitting the entire spectral trajectory using simple statistical models. These allow us to both simplify the time series and to extract useful information about the changes occurring. In this chapter, you will get an introduction to the use of LandTrendr, one of these time-series approaches used to characterize time series of spectral values.

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Kennedy, R., Braaten, J., & Clary, P. (2023). Interpreting Annual Time Series with LandTrendr. In Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications (pp. 317–330). Springer International Publishing. https://doi.org/10.1007/978-3-031-26588-4_17

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