"Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine" paper presented at IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023)

Paper:

Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine"

The presented poster at IGARSS 2023

Formulas:

Codes:

This code repository is an attachment for the open-access IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".

This repository contains a folder "GEE-codes" where you can find:

• A JavaScript Google Earth Engine (GEE) code "Time-Series-Analysis.js"
• A JavaScript Google Earth Engine (GEE) code "Speckle-Tuning.js"
• A Jupyter notebook with a Python code "Accuracy-Assessment-for-speckle-tuning.ipynb"