In the Earth Observation module, you will acquire advanced knowledge on remote sensing methods with a focus on optical satellite data. Basic concepts of remote sensing and image interpretation, as well as programming experience in R (e.g. acquired during module MSc1 “Quantitative Methods for Geographers”) are prerequisites for participating in this module.
The research questions targeted here are jointly developed in the accompanying seminar. You will get exposed to ongoing research projects and learn to embed remote sensing approaches in applied scientific analyses. Case studies in the seminar focus on two main research areas in geography: forests and agricultural landscapes. The different regional foci will align with the research projects conducted in the Earth Observation Lab.
Digital formats include weekly, preparatory video lectures for the seminar and assignments provided via an e-learning platform. Presence time sums up to ca. 3 1/2 hours per week, including discussions of the lecture materials, paper discussions and computer practicals. The remaining 190 hours module workload (without exam) are self-studies, including video-lectures, readings and group-wise computer practicals. This module will finish with a set of group projects, designed in close cooperation between students and researchers.
These projects are the basis for the Modulabschlussprüfung (MAP). The MAP is designed as a research paper with focus on a) the methodological and b) the application related aspects within the broader framing of global change and remote sensing in the respective case studies.
Die Veranstaltung wurde 7 mal im Vorlesungsverzeichnis SoSe 2024 gefunden:
