Aim
Spectroscopy and hyperspectral remote sensing enables to retrieve very detailed spectral information about a certain surface in dense bandwith intervalls. Information on the “spectral fingerprints” of surfaces is then available in a near-continuous manner. This allows for the differentiation of materials, such different geologic surfaces, different urban materials, or plants of different composition and vigor. Especially field- and laboratory spectroscopy has shown many benefits, as measurements can be carried out in a controlled environment, and can be directly visualized and explained. This course provides you insights into practical experiments using a field spectrometer, and subsequent data analysis to assess key environmental parameters such as plant health, soil moisture content, and geologic composition.
Content
The content of this course includes both the theoretical background of field and imaging spectroscopy, as well as practical experiments and subsequent data analysis. In particular, we will adress: the theoretical background of field and imaging spectroscopy / general reflectance and transmittance properties of plant leaves, canopies and soils / the quantification of biophysical and biochemical properties using spectroscopic measurements, feature parametrization and regression analysis / the advantages and challenges of existing and planned hyperspectral spaceborne sensors
Coding
Software
Techniques
Content
General Course News and Updates
Internship Presentation: Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team
On December 17, 2024, Ariana Sofía Argüello Cordero will present her internship " Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team" at 12:00 in seminar room 3,...
GRASS software for Earth Observation
In our international EAGLE MSc program, we go beyond the limitations of a single programming language or software environment. Our goal is to empower students to leverage a wide range of scientific tools effectively. They gain insight into the strengths and...
Master Defense by Isabella Metz: ” Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery
On January 07, 2025, Isabella Metz will defend her master thesis on " Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: In...
EAGLES rock(et) the World Space Forum 2024
Laura - 8th gen EAGLE and in the last week of her internship at UN-SPIDER - and Sunniva - 7th gen EAGLE and working as a student assistant at the DLR's space agency - together happen to help organize the World Space Forum (WSF) 2024 in Bonn. Surrounded by...
EAGLE internship at CIAT in Colombia
Leonie, an 8th generation EAGLE, is currently doing her internship at CIAT (International Center of Tropical Agriculture) in South America, Colombia. She is part of the Multifuncional Landscapes group, which investigates about soil organic carbon sequestration in...
Blender GIS introduction
Within out EAGLE Earth Observation M.Sc. we also cover software applications which might not be used on a regular basis within our field of research but are sometimes highly useful to display our spatial data in a visually appealing way - and also potentially provides...
EAGLE presentation by Gökçe Yağmur Budak
On November 26, 2024, Gökçe Yağmur Budak will present her internship results on " Leveraging Data-Driven Approaches for Seismic Risk Assessment in Istanbul " at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This internship aims to create time...
Internship presentation by Jean de Dieu Tuyizere: Mapping leaf area index in Ghana and Senegal using Gaussian process regression and Sentinel-2 Imagery
On November 26, 2024, Jean de Dieu Tuyizere will present his internship results on " Mapping leaf area index in Ghana and Senegal using Gaussian process regression and Sentinel-2 Imagery" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This study...
social bouldering event
Last Friday did we organize again a social event for all staff members and EAGLEs to get to know the new students, meet and chat with old students and just have a nice time outside the office for all staff members. We spend 4 hours together in the Rock In boulder gym...
Innolab presentation: Deep Learning-driven Image Super-Resolution for TerraSAR-X
On November 05, 2024, Jannik Hoffmann will present his InnoLab results on " Deep Learning-driven Image Super-Resolution for TerraSAR-X" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: High-resolution satellite Synthetic Aperture Radar (SAR) data...