amazon-rainforest

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

Amazon Archeological Site Discovery - a Deep Learning Approach

A cost-efficient, AI-powered tool for discovering archaeological sites in the Amazon basin using satellite imagery, LiDAR data, and historical records. Built for the OpenAI to Z Challenge.

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.

A data science project exploring links between Amazon environmental events and disease-related mortality.

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

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

A machine learning project developed in the context of COP30 to assess socio-environmental risk in Amazonian development projects using environmental indicators.

Fourier Domain Adaptation + Evidential Deep Learning for source-free cross-domain deforestation detection in the Brazilian Amazon using Landsat-8 satellite imagery. ConvNeXt encoder (9.5M params) with per-pixel uncertainty estimation. PyTorch implementation.

Official HackAmazônia website

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

Historical analysis of Funai negative certificates and Indigenous lands rights in Brazil (1968-1990)

Effects of drought and habitat fragmentation on Heliconia acuminata.

Aplicação de Data Science para previsão de desmatamento na Amazônia utilizando Random Forest. Inclui pipeline de engenharia de dados, validação temporal e dashboard interativo em Streamlit.

Windows adaptation of the PyEO forest change detection workflow for Sentinel-2 monitoring in the Amazon BR-163 corridor.

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

End-to-end bioacoustic search for animal vocalizations in Amazonian forest recordings using SurfPerch, Qdrant, and an interactive review UI.