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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Applying calc() on a rasterstack with certain pixels with all NA values

I have a raststack of 768 NDVI files with 4.1 million pixels each. Now I am performing a pixel based time series method (BFAST) using the following functions: Function to convert daily ts into ...
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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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196 views

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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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. ...