Overview

Recent advances in remote sensing technology and the increasing availability of ecological data have transformed the field of ecological research. Remote sensing provides unprecedented insights into environmental changes and species distributions on a global scale. However, these advancements also present new challenges that must be addressed to fully leverage the potential of remote sensing data. These challenges include understanding and utilizing various coordinate systems,  and accurately modeling and analyzing ecological data over space and time.

In this course,  we will cover a range of topics and R packages designed to address these challenges. Participants will gain theoretical knowledge and practical skills necessary for advanced ecological remote sensing analyses. By the end of the course, participants will gain proficiency in coding their own analysis workflows and effectively reporting their findings using Markdown and LaTeX. The final part of the course will cover the fundamentals of LaTeX scripting for both articles and presentations.

Learning outcomes

• Spatio-ecological modelling of remote sensing data

• Proper RS data analysis scripting in GitHub and reporting via Markdown

• Proper reporting in LaTeX for coding texts and output reporting

Daily schedule: 3 - 6 PM (Berlin time)

Session 1 – Introduction (Monday)

• Introduction to ecological remote sensing

• Reference systems: introduction to the main coordinate systems

• The imageRy R package: how to develop your RS package [R packages: imageRy, terra]

Session 2 –  Measuring variability (Tuesday)

• How to measure ecosystem variability in space and time by information theory measures

• Measuring variability via spectral distances

• The rasterdiv R package to couple information theory and spectral distances

Session 3 – Species distribution modelling with RS based variables (Wednesday)

• The sdm R package to model species distributions

Session 4 - Colorblind friendly maps (Wednesday)

• How to deal with colorblindness

• R Packages related to colorblindness

Session 5 – Reporting(Thursday)

• Proper coloring of RS based graphs for colorblind people

• Using Markdown to write R documentation

• Using LaTeX for article and presentation based reporting

Cancellation Policy:

> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.