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.
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.
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 carg…
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.
🌳 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! 🚀📊
Two-stage machine learning model for producing daily PM2.5 estimates regularly at a 10 km resolution in India.
The website for the modular course 'Radical Environmental Data'.
🌍 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.
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