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An independent project where I used QGIS, Landsat 8 and Sentinel satellite imagery, to research past wildfires that occurred in British Columbia in order to come to reasonable conclusions that can help predict future forest fires based on past wildfires patterns.
This repository contains an exploratory data analysis (EDA) of a deforestation dataset obtained from Kaggle. The dataset includes the abbreviation of countries, the percentage of forest area in 2000 and 2020.
Satellite image classifier that identifies signs of deforestation and pollution using transfer learning with a pre-trained ResNet50 Convolutional Neural Network (CNN) model.