Spatially cumulative sum algorithm for change detection

About

This dasboard application based on the sepal-ui framework, provides a user-friendly interface for the use of the spatially cumulative sum algorithm for time-series change detection as proposed by Manogaran & Lopez. Its implementation has been taken from the SERVIR SAR handbook and has been optimised to run on GPU instances.

Input

The module can be run with any single-band time-series (optical or SAR) generated through the SEPAL recipes menu. The module asks to provide the high-level folder.

Output

The resulting output file can be found at:

• ~/module_results/cumsum/[name_of_output_folder]/cumsum_result.tif

The output file is a 3-band raster that contains the date of change (Band 1), its confidence (Band 2) and the magnitude (Band 3).

Contribute

first download the repository to your own sepal account

git clone https://github.com/buddyvolly/cumsum_change.git

Then in the cumsum_change folder, launch the ui.ipynb notebook and run it with voila.

⚠️ If for some reason the sepal_ui module doesn't work on your instance, you can run the no_ui.ipynb file as a notebook using kernel->run all