ONLINE COURSE - Remote sensing data analysis and coding in R for ecology (RSDA01)
https://www.prstats.org/course/remote-sensing-data-analysis-and-coding-in-r-for-ecology-rsda01/ 30th September - 4th October Instructor - Duccio Rocchini COURSE OVERVIEW: Ecological remote sensing is now recognised as one of the founding disciplines to link spatial patterns to ecological changes in space and time. This course mainly focuses on the application of free and open source algorithms – which ensure high reproducibility and robustness of ecological analysis – to study ecological change in space and time by remotely sensed imagery. Particular emphasis will be given to: 1) remote sensing principles, 2) remotely sensed data gathering and analysis, 3) monitoring ecosystem change in space and time by remote sensing data. The course is dramatically practical giving space to exercises and additional ecological issues provided by the professor and suggested by students. We will make use of R which is one of the main free and open source software for ecological modelling. By the end of the course, participants will: • be able to create their own projects on monitoring of spatial and temporal changes of ecosystems with remote sensing data • be able to report in LaTeX and R Markdown the achieved results Please email oliverhoo...@prstatistics.com with any questions. -- Best wishes, Oliver Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
