Online Courses

This website offers a wide array of tutorials designed to help users effectively utilize QGIS, the free and open-source geographic information system. It covers fundamental GIS concepts, data manipulation, spatial analysis, and advanced mapping techniques. The resource is structured to guide users through various QGIS functionalities with clear, step-by-step instructions.

This website offers comprehensive guides for OpenStreetMap users, covering beginner topics, advanced editing with JOSM, and detailed information on OSM data. It provides practical tutorials on mapping various features and utilizing tools like the iD editor and QGIS for data management.

OpenTopography provides easy, centralized access to a diverse collection of high-resolution topographic data. This platform strives to simplify data discovery by integrating data from various sources, including the USGS 3D Elevation Program. It also offers a suite of tools for processing and analyzing these datasets.

LiDAR and Aerial Archaeology offers free LiDAR and aerial photography maps from various global regions. It also provides access to other related archaeological resources, including training materials and geological data.

Esri's free massive open online courses are available year-round, typically lasting four to six weeks. These courses cover essential geospatial topics such as spatial analysis, spatial data science, imagery analysis, and location analytics. Participants can also learn no-coding methods for building and sharing ArcGIS applications.

NOAA CoastWatch provides access to global and regional satellite data for a wide range of ocean and coastal applications. This service supports research, resource management, and decision-making by offering data products and tools to understand and protect marine ecosystems and assess environmental change.

Learn the latest GIS technology through free live training seminars, self-paced courses, or classes taught by Esri experts. Resources are available for professionals, educators, and students.

This online book serves as an introduction to geographic data science using the R programming language. It is designed as a companion for a university module, focusing on core programming, data wrangling, statistical analysis, and machine learning techniques for geographers. The resource emphasizes R's versatility as a free and open-source tool for spatial data processing and geographic information analysis.

This website offers a detailed compilation of lecture notes designed for an introductory course on GIS and spatial analysis. It covers fundamental concepts from what GIS is to data representation, management, and analysis techniques. The resource aims to provide foundational knowledge for students and practitioners in the geospatial field.

OpenCV is a comprehensive, real-time optimized computer vision library that also supports machine learning and artificial intelligence model execution. It offers tools and hardware, enabling a wide range of applications from image processing to object detection and deep learning. The platform provides resources for learning, consulting, and an active community store.

This resource provides a structured introduction to GIS programming, guiding users through software setup, Python fundamentals, and key geospatial libraries. It covers essential tools for data analysis, visualization, and cloud computing in a geospatial context, making complex topics accessible for learners.

GeoAI Essentials is a learning plan from Esri that focuses on integrating artificial intelligence (AI), machine learning (ML), and deep learning (DL) with GIS. It teaches how to apply GeoAI workflows to produce knowledge and solve geographic challenges.

This online course from the University of Alaska Fairbanks focuses on the applications of Synthetic Aperture Radar (SAR) remote sensing for disaster monitoring. It covers weather and illumination-independent SAR technology and its use in analyzing natural hazards such as earthquakes, volcanic eruptions, and flooding.

WorldCereal is a research project funded by the European Space Agency, dedicated to providing a free, cloud-based processing system. This system generates high-resolution custom crop location and type products at both local and global scales. It aims to enhance food security through advanced geospatial data and analysis.

This three-week course introduces Geographical Information Systems (GIS) and their applications in generating Geospatial Intelligence (GEOINT) using ArcGIS Pro Desktop software. It covers fundamental GIS concepts, data types, data engineering, advanced analytical techniques, and cartography. Participants will learn to create, manage, analyze, and visualize geospatial data to support decision-making processes.

NASA's Applied Remote Sensing Training (ARSET) program provides free online and in-person webinars and workshops. It aims to empower individuals and organizations to leverage Earth-observing data for informed environmental management and decision-making across various applications globally.

This online book serves as an open educational resource for applied spatial statistics at McMaster University. It was developed by Antonio Paez with support from several contributors and funded by an Open Educational Resources grant. The resource provides a structured course in spatial data analysis and statistics using the R programming language.

This resource provides access to the book "Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications." Published by Springer, the book is available for free download as a PDF, offering in-depth material for learning and applying geospatial analysis. It covers essential concepts and practical applications within the Google Earth Engine platform.

Spatial Thoughts provides an open learning platform focused on modern geospatial technologies. It offers hundreds of hours of free, openly accessible, and ad-free learning materials, alongside cohort-based live online instructor-led classes. The platform aims to equip learners with skills to solve complex real-world problems using key open-source tools.