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Student Wildfire Classification Jupyter Notebooks
A NASA software catalog entry available for reuse or request.
About this technology
Overview
These are 4 Jupyter notebooks that prepare airborne radar data for wildfire classification products. The notebooks use a super pixel segmentation method to generate fire perimeters and a simple k-means clustering method to classify burn severity for SAR data. These notebooks automate the data pre-processing for polarimetric radar remote sensing data, and generate preliminary fire perimeter and burn severity maps, which are usually manually generated and from sources other than radar.