Questions tagged [bfast]

BFAST integrates the decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. BFAST can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics.

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Can BFAST algorithm be applied to to a whole study area/ ROI?

I am working on identification of breakpoints in Landsat based NDVI time series (1990-2018). I am using The Breaks for Additive Seasonal and Trend (BFAST) algorithm which is a pixel based time series ...
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Using BFAST Spatial algorithm in R?

I have 65 monthly MOD11A2 (LST) images. The images came from the average of the original 8 day products. I have made them a time series stack using the timeStackMODIS function of the bfastSpatial ...
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Time series data analysis error with bfast

The error is inadmissable change points: 'from' is larger than 'to'. Setting trim to a low number (~7) makes it not give this error any more. Does anyone has any suggestion? #Sample Data generation x ...
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Analyze time series NDVI using bfast

I would like to study a trend of NDVI data for a specific time interval using bfast package. For this final aim, I read about the necessity to convert my data frame into a time series object in R. ...