Last week Steven Hill and Thorsten Dahms gave a course that introduced EAGLE students to Python-based spatial data analysis. The advantages and challenges of different python libraries, data sets and methods were covered in hands-on exercises and also discussed critically with the students. Steven and Thorsten greatly appreciated the discussions with EAGLE students about the similarities and differences between Python and R. In addition to the informative lectures and presentations of the students, the practical application of remote sensing data in Python was also part of this course. The course covered everything from the basic introduction to Python to remote sensing applications such as classification.
From Abandonment to Opportunity: Alexander V. Prishchepov Discusses Global Land Abandonment at the EORC
What are the main drivers and global patterns of farmland abandonment? How can remote sensing help address the challenges of studying farmland abandonment? In what ways might abandoned farmland contribute to biodiversity conservation and carbon reduction? These...
