Eagle Creek Fire Remote Sensing Analysis
Analyzing vegetation damage and recovery using satellite imagery and supervised classification.
Project Description
This project utilizes supervised classification models (random forest classification) and remote sensing techniques (band composites, NDVI change detection) to analyze satellite imagery, assessing vegetation damage and recovery in the context of the Eagle Creek forest fire.
Key methods:
Tools and methods include: Python Scikit-Learn, ArcGIS Pro, QGIS, and Google Earth.