Educating future generations
Members of the OpenSkyLab initiative contribute to teaching at the Czech University of Life Sciences Prague, Faculty of Environmental Sciences. Within the Department of Spatial Sciences, they are involved in both bachelor’s and master’s degree programs focused on Geographic Information Systems (GIS) and Remote Sensing (RS). Our teaching philosophy emphasises the transfer of practical experience, ensuring that students can apply theoretical knowledge in real-world contexts. In addition to regular coursework, we also organise guest lectures by experts from academia and industry, offering students broader perspectives and direct insight into current geospatial and environmental applications.
Our study materials are organised into specialised courses, most prominently Satellite- and Drone-based Remote Sensing. This structure enables students to engage with key domains of Earth observation through both established satellite technologies and the rapidly advancing field of unmanned aerial systems. Through a combination of theoretical instruction and practical training, students develop a comprehensive understanding of remote sensing principles, data acquisition workflows, and processing methodologies. The integration of satellite- and drone-based approaches provides complementary perspectives: satellites support large-scale, long-term environmental monitoring, whilst drones deliver high-resolution, flexible, and site-specific data collection.
DRONE REMOTE SENSING | SATELLITE REMOTE SENSING
These study materials are designed first and foremost to support students of the Czech University of Life Sciences.
That said, curious minds from elsewhere are warmly welcome to explore them too. Knowledge likes to travel!.
Our study materials are published in open data mode, just like the majority of datasets we use for teaching. This approach reflects our commitment to transparency, reproducibility, and the principles of open science. By adhering to the open data and FAIR data management standards, we ensure that both students and the wider research community have equitable access to educational and scientific resources. This model not only strengthens the link between theory and practice but also equips students with the skills necessary to work with open datasets and methodologies that have become the norm in international research environments. The openness of our educational and data resources further fosters critical thinking, interdisciplinary collaboration, and the ability to develop innovative solutions to contemporary challenges in environmental and geospatial sciences.
Curious minds, real data
Working on a bachelor’s or master’s thesis is more than fulfilling a formal study requirement, it’s an entry point to research. We view theses as small but meaningful contributions to environmental science and remote sensing. Students are expected to think critically, plan carefully, and treat their projects as part of a wider scientific effort rather than as isolated tasks. Our goal is not to make the process bureaucratic but to help you produce work you can be genuinely proud of, research that stands up to scrutiny, is understandable to others, and adds real value to the growing field of environmental remote sensing.
We particularly welcome curious and motivated students who approach their topics with responsibility and enthusiasm. If you are genuinely interested in exploring your own ideas, learning new methods, and working with drone or satellite data, we will be happy to collaborate and guide you through the process. Supervision means partnership, combining your curiosity with our experience to make the work both rigorous and enjoyable.
CZ Doporučení | EN Recommendations
While mandatory for our students, these recommendations can also inspire anyone interested in good academic writing.