Satellite image classifier that identifies signs of deforestation and pollution using transfer learning with a pre-trained ResNet50 Convolutional Neural Network (CNN) model.

COMP 590 - Data Science for Earth @ UNC-CH Final Project, Google Earth Engine, Amazon Rainforest Classification

Co-authored workshops on Machine Learning for Geospatial data at the University of Waterloo

Effects of drought and habitat fragmentation on Heliconia acuminata.

This project uses Google Earth Engine's (GEE) platform to analyze deforestation in the Amazon rainforest. The analysis is based on the Hansen Global Forest Change dataset.

Machine Learning Engineer Capstone Project. Multi-Class Deep Learning Classification (CNN) to classify images in the Amazon Rainforest. Kaggle Competition.

Scripts for the MA research about Brazil’s parliamentary discourses dynamics on the Amazon rainforest.

Detecting deforestation in the Brazilian Amazon by using NDVI and Woodiness index