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651-7104-00L 2 Credits MSC D-ITET , D-ERDW , D-MAVT , D-PHYS

Spatial Ecology and Remote Sensing (University of Zurich)

Does not take place this semester. No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: UWW250 Mind the enrolment deadlines at UZH:

VVZ CR n/a

Last Updated: 2026-06-01 11:31:30

Abstract

This lecture focus on quantitative methods and data to study spatial ecological processes. Computing work includes an introduction to ArcGIS, remote sensing data handling, and spatial analyses. Students can bring their own data for the self-run project in the second part or use provided data.

Content

This course is an introduction to scientific concepts and methods in spatial ecology. Spatial ecological patterns and processes are discussed and methods to assess and analyze spatial relations are introduced. The course has a focus on satellite-derived environmental and ecosystems data and their spatial analysis with respect to vegetation distribution and activity, and animal movement. The course includes lectures, hands-on computer labs, and a literature study relating to the theory. The lectures introduce the spatial component of ecological questions and methods to assess spatial patterns and relationships with processes. During computer labs, the students will run exercises to introduce them to ArcGIS and get first skills in handling spatial data (including remote sensing data) and analyses. Towards the end of the course, students do their own project based on provided or potentially own scientific data sets. The aim of the course is to develop knowledge and spatial analytical and mapping skills that can be applied in the master or PhD thesis to solve ecological questions and present results meaningfully.

General Information

Language: English
Levels: MSC
Frequency: Yearly recurring

Examination

Type: graded semester performance

Anmeldemodalitäten, Datum und Ort dieser Leistungskontrolle werden ausschliesslich von der UZH festgelegt.

Course Components

Type	Title	Time & Place	Hours
lecture	Spatial Ecology and Remote Sensing Does not take place this semester.	No time listed	60 h semesterly

Offered In

Space Systems Master
- Fachspezifische Vertiefung (Es müssen mindestens 20 KP aus den Deep Track Lerneinheiten absolviert werden. Überzählige KP können für Wahlfächer angerechnet werden.)
  - Earth Observation
    - Vertiefungsfächer Earth Observation (Diese LE's können sowohl als Vertiefungsfach als auch als Wahlfach angerechnet werden.)