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Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app

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BFAST Explorer v0.0.3

Description

BFAST Explorer is a Shiny app, developed using R and Python, designed for the analysis of Landsat Surface Reflectance time series pixel data.

Three change detection algorithms - bfastmonitor, bfast01 and bfast - are used in order to investigate temporal changes in trend and seasonal components, via breakpoint detection.

If you encounter any bugs, please create an issue or send a message to [email protected].

Usage

Currently, this tool only supports UNIX-like systems (no Windows OS) due to the integration between R and Python.

In order to successfully run this tool, apart from having R and Python installed, you need the following:

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Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app

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  • R 90.7%
  • Python 7.4%
  • CSS 1.9%