Introduction to Earth Observation Data Science

Interested in learning how to manipulate Earth Observation data? The Applied Remote Sensing Group at Cranfield University will be hosting a training short course in Earth Observation (EO) data science. The course will equip you with the skills to effectively extract, manipulate, and visualise EO data for a variety of use cases. Highly rated (4.65/5) by past participants for its practical approach and beneficial impact on research and professional development, this course is an invaluable opportunity to advance your skills in the growing field of EO data science.

Earth Observation (EO) plays a vital role in a wide range of environmental research areas such as monitoring biodiversity, wildlife populations, deforestation, sea level rise, greenhouse gas emissions, glacier retreat, and changes in land use. With the growing number of EO satellite operators and advancements in computing algorithms, the importance of EO data is expected to increase in both research and in achieving sustainability, net zero, and climate targets.

EO data and automated analysis techniques are becoming increasingly important, providing researchers and practitioners with valuable datasets to tackle environmental challenges using a whole systems approach. Participants in this course will gain hands-on experience with data extraction, manipulation, and visualisation techniques, which they can apply to various uses.

The course is intended for environmental scientists and ecologists, non-profit and conservation organisations, agricultural professionals, urban planners, educators and researchers.