n.MA.ENR.RSE.18FS (Remote sensing for ecology) 
Modul: Remote sensing for ecology
Diese Information wurde generiert am: 15.09.2019
Nr.
n.MA.ENR.RSE.18FS
Bezeichnung
Remote sensing for ecology
Credits
3

Beschreibung

Version: 1.0 gültig ab 01.02.2018
Studiengang
Degree Program
MSc in Environment and Natural Resources
Arbeitsaufwand
Workload
3 ECTS
Modulleitung
Module Coordinator
Michael Döring
Dozierende
Lecturers
Diego Tonolla, Pascal Ochsner, Martin Geilhausen, Michael Döring, Diane Whited (University of Montana)
Eingangskompetenzen
Entry Requirements
Students are be able to...
• explain the basic functions and interrelationships in ecosystems.
• perform simple, stand-alone field recordings in ecosystems.
• explain the theoretical foundations of Geographic Information Systems (GIS).
• carry out basic, spatial ecosystem analyses using GIS.
Ausgangskompetenzen
Learning Outcome and Competences
Students will learn to...
• recognise and evaluate the potential of remote sensing for ecosystem assessment and evaluation.
• perform spatio-temporal data and analyses by means of remote sensing (e.g. drone) and GIS.
• interpret and critically assess remote sensing data and products for ecosystem assessment and evaluation.
• integrate remote sensing data and products into their own research or practical projects and carry out such a project.
Inhalte
Module Content
Ecological systems are diverse and spatially heterogeneous areas characterized by interacting natural and impacted terrestrial and aquatic mosaics, which consist of features, such as forests, grasslands, rivers or lakes. Key research topics in these landscape mosaics include the analyses, quantification and scaling of ecological flows, land-use and land-cover change, relating landscape pattern analysis with ecological processes, conservation and sustainability. In this context GIS analyses in concert with  remote sensing using unmanned aerial or aquatic vehicles (UAVs), autonomously or remotely operated and equipped with various sensors such as NIR (Near infrared), TIR (Thermal infrared) or ADP (Acoustic Doppler Profiler) offer new opportunities for scale appropriate measures of ecological phenomena at high spatial- temporal resolutions.
 
The goal of this proposed class is to introduce and expose students to close range remote sensing in ecosystems with the focus on aquatic and terrestrial components of floodplains and adjacent areas such as agricultural land. Students will be gain knowledge of basic spatial analysis through GIS and remote sensing techniques.  In addition, students will learn basic application of drones and ADP, two remote sensing instruments of fast growing interest in ecological research and application. The students will learn about the essentials to operate drones and ADPs, the initial post processing of data products and examples how to integrate these data into ecological research and application.
 
Lehr-/Lernmethoden
Teaching / Learning Methods
Lectures, GIS excercises, Field work
Leistungsnachweis
Assessment of Learning
Outcome
Proposal writing, Project work, Project presentation
Bibliographie
Bibliography
Carbonneau and Piegay 2012. Fluvial Remote Sensing for Science.
Unterrichtssprache
Language
Englisch
Bemerkungen
Comments
Die Modulleitung entscheidet über die Möglichkeit von Nachbesserungen schriftlicher Arbeiten (StO § 11) und Nachprüfungen (StO§ 12).
 

Hinweis

Kurs: Remote sensing for ecology
Nr.
n.MA.ENR.RSE.18FS.V
Bezeichnung
Remote sensing for ecology

Hinweis

  • Für das Stichdatum 01.02.2018 ist kein Modulbeschreibungstext im System verfügbar.