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ONLINE COURSE - Remote sensing data analysis and coding in R for ecology (RSDA01)

Oliver Hooker 
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 oliverhooker at prstatistics.com with any questions.