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Open Educational Resources in Sustainable Technology

  • Earth and Environmental Data Science Book - An Introduction to Earth and Environmental Data Science.
  • Free Earth Data Science Courses & Textbooks - A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team.
  • ESM-lectures - Lecture slides for KIT Energy System Modelling course.
  • GreenCity - Teach people in a playful and challenging way to have an eco-friendly lifestyle.
  • ClimateModeling_courseware - A collection of interactive lecture notes and assignments in Jupyter notebook format.
  • Climate Change Impact Assessment - A practical walk-through.
  • CoastWatch Satellite Course - The goal of the course is to familiarize university researchers and students with different types of ocean satellite data, different tools, and teach participants how to use satellite data in their own research using their choice of software (R, python, ArcGIS).
  • openlca-python-tutorial - Explains the usage of the openLCA API from Python.
  • ECCO-v4-Python-Tutorial - Contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate.
  • MIT-PraCTES - Materials for MIT workshop "Practical Computing Tutorials for Earth Scientists".
  • geothermics - Educational repository with Jupyter Notebooks all around the topic of geothermal energy.
  • ICAR - A simplified atmospheric model designed primarily for climate downscaling, atmospheric sensitivity tests, and hopefully educational uses.
  • energy-sparks - An open source application that is designed to help schools improve their energy efficiency.
  • stats_for_soil_survey - Lecture material on "Statistics for Pedologists".
  • GEOG0133 - Open Terrestrial Carbon modelling and monitoring lecture.
  • ECOSTRESS Tutorial - The ECOSTRESS mission is tasked with measuring the temperature of plants to better understand how much water plants need and how they respond to stress.
  • Tutorial for Working with NASA VIIRS Surface Reflectance Data - Converting VNP09GA files into quality-filtered vegetation indices and examining the trend in vegetation greenness during July 2018 to observe drought in Europe.
  • python-ecology-lesson - Data Analysis and Visualization in Python for Ecologists.
  • R-ecology-lesson - Data Analysis and Visualization in R for Ecologists.
  • Fundamentals of Remote Sensing - Participants will have a basic understanding of NASA satellites, sensors, data, tools, portals and applications to environmental monitoring and management.
  • Building DC Energy Systems - Hosts an Open Educational Resource (OER) for Building DC Energy Systems.
  • The General Circulation of the Atmosphere - The course gives a broad overview about the general circulation of the atmosphere, including the tropospheric and stratospheric circulations.
  • The Climate Laboratory - A hands-on approach to climate physics and climate modeling.
  • Objective Analysis in Atmospheric Sciences - The course provides an overview of the methods used to interpret data sets in the atmospheric and oceanic sciences.
  • Python for Atmosphere and Ocean Scientists - Contains the Data Carpentry lesson materials for a single day workshop on using python in the atmosphere and ocean sciences.
  • Photovoltaics Education Website - A detailed deep dive to get started with photovolatic technology.
  • Spatial data science for sustainable development - Introduces geographical and computational analysis approaches to study sustainability related questions.
  • Climate Risks Academy 2021 - Contains solutions for the advanced assignment of the Modelling Lab of the Climate Risks Academy 2021.
  • SDG Academy - Education platform of the Sustainable Development Solutions Network (SDSN), a global initiative for the United Nations.
  • PVSC48-Python-Tutorial - Computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz.
  • Power Systems Optimization - How to implement and apply linear and mixed integer linear programs to solve such problems using Julia/JuMP, and the practical application of such techniques in energy systems engineering.
  • Advanced Urban Analytics - This course series takes a computational social science approach to working with urban data.
  • PyEarthScience - Python modules, scripts and iPython notebooks, in particular for Earth System data processing and visualization used in climate science.
  • Predicting the Wind: Data Science in Wind Resource Assessment - Contains material for a hands-on tutorial and additional content about data science in wind resource assessment.
  • 2020_ICESat-2_Hackweek_Tutorials - Combined repository for the final tutorial material presented at the 2020 ICESat-2 Cryosphere Hackweek.
  • LTPy - Learning tool for Python on Atmospheric Composition Data.
  • World Glaciers Explorer - An interactive web application with which you can learn and teach about the world's glaciers.
  • Water Productivity and Water Accounting using WaPOR - Jupyter notebooks for Water Accounting and Water Productivity using WaPOR course.
  • Open Source Geoprocessing Tutorial - Tutorial of fundamental remote sensing and GIS methodologies using open source software in python.
  • NSIDC-Data-Tutorials - Tutorials and code resources provided by the NASA National Snow and Ice Data Center Distributed Active Archive Center.
  • NEON Data Skills - Provides tutorials and resources for working with scientific data, including that collected by the National Ecological Observatory Network.
  • EO College - This course is part of a series of online learning materials that will give you insights on the potential of remote sensing technologies for applications over land surfaces.
  • Africa Soil and Agronomy Data Cube - Accessing and using soil and agronomy data for Africa.
  • MarineEcosystemsJuliaCon2021.jl - Modeling Marine Ecosystems At Multiple Scales Using Julia.
  • EDS220_Fall2021 - Provide an introduction to various environmental data sets, which should give you a good sense of the range of tools out there for manipulating and processing environmental data.
  • Climate Change Impact Assessment: A practical walk-through - Throughout the course of this book, you will learn how to acquire observed historical climate data from Environment and Climate Change Canada, and perform basic analyses of a climate index and meteorological variables.
  • To Catch The Sun - Inspiring stories of communities coming together to harness their own solar energy, and how you can do it too.
  • ICESat-2 Sea Ice Thickness Data Analysis and Visualization - Interactive Jupyter Book for wrangling, visualizing, and analyzing ICESat-2 sea ice thickness data
  • mebioda - This repository contains materials for the MSc course Methods in Biodiversity Analysis.
  • LP DAAC E-Learning - Frequently updated presentations, webinars, tutorials, and video tips on accessing, managing, and processing LP DAAC data using a variety of software, web applications, custom tools, and scripts.
  • Copernicus Training - Data tutorials for the Copernicus Climate Change and Atmosphere Monitoring Services.
  • Africa Soil and Agronomy Data Cube - Accessing and using soil and agronomy data for Africa.
  • Systems' Engineering for Energy Efficiency - A Python course on Systems engineering for energy efficiency in German within the Master of Electrical Engineering and Master of Renewable Energy at the Cologne University of Applied Sciences.
  • The Environmental Data Science book - A living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science.