Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R

A list of books, events, articles, journals, courses, etc related to Environmental Data Science.

IBM Environmental Intelligence Suite

R interface to the CDC National Public Health Tracking Network API

An R package to launch shinyrems; an online application that allows a user to access, download, clean, plot and calculate simple statistics using data from the B.C. government Environmental Monitoring System database.

A tool for capturing snapshots of public data sources and archiving them on Zenodo for programmatic use.

Lectures, Data, and Exercises for Environmental Data Science at UCSB

Cold pool area and temperature data products from eastern Bering Sea, northern Bering Sea, Gulf of Alaska, and Aleutian Islands bottom trawl surveys.

AI and API powered property and land intelligence toolkit for the Netherlands - enriches addresses with cadastral, demographic, environmental, and market data from 35+ APIs to generate comprehensive property profiles and ESG/investment scores.

Tools to process data from trawl-mounted CTDs

The 2021 CARGO (Consumer Awareness of Real GHG Output) Hackathon (October 23-24, 2021) aims to create solutions to the problem of embedded greenhouse gas emissions created by the transportation sector, which accounts for the largest share of GHG emissions in the USA. We built a command line tool for calculating carbon emissions for domestic cargo transport.

Prediksi emisi karbon di Purbalingga berbasis data geospasial dari OpenStreetMap. Menggunakan Random Forest dan XGBoost untuk analisis spasial dalam studi tugas besar mata kuliah Strategi Algoritma.

Environmental issues reports from Argentina

Co-creation toolkit to help you Build better Environmental Data Science (EDS) digital products and services.

EDAM (Environmental Data Acquisition Module) is a template framework that facilitates timeseries data acquisition and integration

A simple UI to view London air quality data. Built with Elm 0.19 and Leaflet JS.

Two-stage machine learning model for producing daily PM2.5 estimates regularly at a 10 km resolution in India.

🌳 This Jupyter Notebook trains a neural network on the Covertype dataset to predict forest cover types using TensorFlow. It includes data preprocessing, model building, training, evaluation, random sample testing, and ROC curve visualization. Achieves ~85% accuracy on multi-class classification of 7 cover types! 🚀📊

The website for the modular course 'Radical Environmental Data'.

A Python package for fractal and complexity analysis of time series.

MariDataHarvest is a tool for scrapping and harvesting Automatic Identification System (AIS) data provided by marinecadastre then appending it with the weather and environment conditions provided by CMEMS and RDA at each geographical and UTC timestamp point.

This project explores the relationship between CO₂ emissions, economic growth, and air pollution across different income groups. Using data storytelling, statistical analysis, and regression modeling, it uncovers key insights into how industrialization and wealth distribution contribute to environmental inequality.

Python notebook for analyzing deforestation in Cancun, Mexico using OpenCV and satellite imagery from Google Earth Engine, designed for impactful environmental monitoring.

Flood risk prediction using machine learning and SHAP explainability

🌍 ML-powered climate impact predictor integrating NASA, World Bank & real-time APIs. Features time-series forecasting, interactive dashboards & production deployment. Portfolio project showcasing end-to-end data science pipeline.

Dataset packages for environmental data analysis using R with tidy approach

How I helped a team scale their categorization using design thinking, cross-functional collaboration, and applied research.

A comprehensive time series forecasting project comparing statistical, machine learning, and deep learning models for air pollution prediction. Features data exploration, model implementation (ARIMA, SARIMAX, Prophet, Random Forest, XGBoost, LightGBM, LSTM, DeepAR), and performance evaluation.

Dünya ve Türkiye genelinde gerçek zamanlı hava kalitesi izleme platformu. Bu uygulama, farklı bölgelerdeki çeşitli sensörlerden hava kalitesi verilerini toplar, işler ve görselleştirir. PM2.5, PM10, NO2, SO2 ve O3 gibi kirleticiler hakkında güncel bilgiler sunar.

UC Berkeley Data 88 (Environmental Data Analysis) Spring 2022