STA applies the Mann-Kendall test for trend to the so-called shape parameters
of periodic time series. STA estimates shape parameters via harmonic regression.
STA can handle
numeric time series and
RasterStack of satellite images.
Shape parameters is the term used in vegetation monitoring to refer to the amplitudes and phase angles resulting from fitting a harmonic regression model to time series of vegetation indices derived from satellite images. Regardless of its origin, STA can be applied to any periodic time series which makes this package potentially useful to other disciplines such as hydrology, climatology and econometrics.
sta (the main function of this package) it is possible to perform
the Mann-Kendall test for trend on time series of the three most commonly used
shape parameters: mean, annual and semiannual. These parameters
are the estimated amplitude coefficients of the aforementioned harmonic regresion
model. This function allows parallel processing to handle large satellite time series
STA includes the following graphical methods:
plot.staNumeric: generic plot displaying
for numeric time series.
plot.staMatrix: maps of
sta's output for
STA include the following datasets:
marismas: numeric vector containing 10-day Composite NDMI values
from 2000 to 2018.
RasterStack containing 612 spatial subsets of 10-day
Composite NDMI images acquired from 2001 to 2017.
Tecuapetla-Gómez, I. email@example.com
Eastman, R., Sangermano, F., Ghimire, B., Zhu, H., Chen, H., Neeti, N., Cai, Y., Machado, E., Crema, S. (2009). Seasonal trend analysis of image time series, International Journal of Remote Sensing 30(10), 2721–2726.
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