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Foto: Matthias Friel

Advanced Earth Observation - Einzelansicht

Veranstaltungsart Vorlesung/Übung Veranstaltungsnummer
SWS 4 Semester SoSe 2022
Einrichtung Institut für Umweltwissenschaften und Geographie - Geoökologie   Sprache englisch
Belegungsfrist 01.04.2022 - 10.05.2022

Belegung über PULS
Gruppe 1:
     jetzt belegen / abmelden
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine anzeigen
Vorlesung Mo 08:15 bis 09:45 wöchentlich 18.04.2022 bis 25.07.2022  N.N. Prof. Dr. Herold   20
Einzeltermine anzeigen
Übung Mo 10:15 bis 11:45 wöchentlich 18.04.2022 bis 18.07.2022  N.N.     20
Einzeltermine anzeigen
Übung Mo 10:15 bis 11:45 Einzeltermin am 25.07.2022 N.N. Prof. Dr. Herold   20
Kommentar

Course description

 

The Advanced Earth Observation module is aimed at students from relevant MSc programs (CLEWS, Geo-Ecology, RSIV,) that are interested in deepening their knowledge and experience in the field. The course is designed to build upon the basic remote sensing modules (such as “Angewandte Fernerkundung in der Geoökologie” or “Remote Sensing of the Environment”) and requires students to enter with a basic knowledge of remote sensing principles, methods and applications. We will use R for lab exercises and expect knowledge in a programming language (i.e. R).

 

It provides students the opportunity to acquire further knowledge in the field of earth observation on advanced topics with focus on optical remote sensing; such as more physics on remote sensing, radiative transfer models for biophysical parameter retrieval, LiDAR for deriving vegetation structure, time-series analysis and deep learning methods in land remote sensing, and innovative approaches for in-situ calibration and validation. Acquiring advanced knowledge will be provided through lectures of leading remote sensing experts and gaining hands on experiences through practicals. The teaching and topics of the course are aligned with some of the ongoing research at the German Research Centre for Geosciences (GFZ) in Potsdam and will also link with the recent EO-College online courses MOOC4LAND and HYPERedu. Next to lectures and practicals, part of the course focuses on performing a synthesis on recent Earth Observation papers that will be presented and discussed with the group.

 

The module is an advanced course that will be offered in the summer term. It consists of weekly lectures (2 hr) and practical sessions (2 hr).

 

The module aims for the following learning outcomes:

 

Thematic outcomes

- deepen understanding of novel Earth Observation concepts, methods and applications;

- demonstrate knowledge on advanced earth observation topics taught in the course;

- show awareness of innovative earth observation developments;

 

Methodological outcomes

- critically evaluate earth observation concepts and methods presented during the course;

- apply the acquired knowledge through practical exercises;

- synthesize the outcome of an innovative Earth Observation study through presenting a recent scientific paper

 

Practical outcomes

- analyze the use of innovative earth observation techniques for various applications;

- conceptualize and design state-of-the-art earth observation solutions for specific applications and remote sensing services;

 

Requirements:

-       Should have completed a basic remote sensing course (such as modules “Angewandte Fernerkundung in der Geo-Ökologie” or “Remote Sensing of Environment” or at Uni Potsdam)

-       Should have good command and knowledge in R-programming and image processing techniques

 

Examination:

- Requirement to participate in the final exam: Results of exercises as requirement to be admitted to final examination (80% of homework completed) NOTE: This will not be part of the grade, but is a requirement to participate in the final exam.

- Final exam (100%)

Bemerkung

Note: The lecture and exercise will take place on the Golm campus in house 27, room 0.29/.30.

Lerninhalte

Draft syllabus

 

Lecture-Week

Lecture (~ 90 min)

Practical (1.5-2 hrs + self study)

 

Easter Monday

 

1 (25. Apr)

Environmental optics/spectra (Herold)

Calculations (Herold), Intro R

2 (2. May)

Multispectral satellite remote sensing and atmospheric correction (Segl)

SNAP/Sen2Cor (Segl)

3 (9. May)

Hyperspectral image processing (Bohn et al. )

ENMAP toolbox (Bohn)

4 (16. May)

Biophysical parameters, spectral effects and RTM (Brede)

RTM sensitivity (Brede)

5 (23. May)

Inversions and parameter retrieval (Brede)

RTM inversions (Brede)

6 (30. May)

UAV/terrestrial-based remote sensing (Brede)

Field/drone practical (Brede)

 

Pentecost

 

7 (13. June)

Advanced LIDAR (Brede)

Exploring drone-acquired data (Brede), reading papers

8 (20. June)

Time series analysis of land surface dynamics (Herold)

BFAST practical (Herold)

9 (27. June)

Information extraction and machine learning in land remote sensing (Herold)

Paper presentation/discussion

10 (4. Juli)

Accuracy and uncertainty analysis for land remote sensing products (Herold)

Biomass uncertainty estimation (Herold)

11 (11. Juli)

Large area forest/land monitoring and carbon accounting (Herold)

IPCC accounting MOOC – module (Herold)

12 (15. Juli)

Final exam

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Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester SoSe 2022 , Aktuelles Semester: SoSe 2024