Hyperspectral Remote Sensing
field spectroscopy and image analysis
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.
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 examples and individual work will be covered
Various software programs will be used, but mainly OpenSource software such as R.
Different techniques will be introduced and practically applied.
The content of scientific with regard to the audience will be discussed.
General Course News and Updates
We congratulate Johannes Löw to a great M.Sc. defense within the EAGLE colloquium! Another great remote sensing M.Sc. thesis has been defended within the EAGLE program.read more
Pilar Endara Pinillos succssfully defended her M.Sc. thesis within the EAGLE colloquium. Congratulations to Pilar!read more
Sarah Nolting will defend her M.Sc. thesis "Risk Assessment for Flood Events based on Geo- and Socioeconomic Data – A Case Study for North-Rhine Westphalia, Germany" on Wednesday 27th 2pm in room 0.004 OKW 86. from her abstract: "The world’s population has doubled...read more
You are all invited to join the M.Sc. presentation by Johannes Löw. He will defend his M.Sc. thesis on Wednesday 20th of March at 2pm in room 0.004 in OKW 86. from his abstract:Since Sentinel-1 A and B have become fully operational, it is now possible to generate...read more
Pilar Endara Pinillos handed in her M.Sc. thesis "Flooding patterns and vegetation developments in the Orinoco flooded savannas of Colombia." Her M.Sc. defense will be on Wednesday 13th at 2pm in room 0.004 (OKW 86). The ecosystems that are present within Colombian...read more
we congratulate Marcus Groll for his successful defense of this M.Sc. presentation “Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War ”. He has only a few days off before starting his new job as image data...read more
The following students will present next Tuesday (26th) at 2pm in room 0.004 their internships or innovation labs:Itohan-osa Abu (internship): Mangrove Mapping with TimeScan Data for Nigeria and an Analysis in Context of Coastal Gas Flaring Salim Soltani (internship):...read more
Marcus Groll handed in his M.Sc. thesis "Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War " and will defend it next week. Abstract: During the Second World War (WWII) many air strikes were flown on German...read more
We congratulate Maninder who successfully defended his M.Sc. thesis “Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany” supervised by Martin Wegmann and Christopher Conrad.read more
Maninder Singh Dhillon handed in his M.Sc. "Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany" supervised by Thorsten Dahms with the first and second supervisors Martin Wegmann and Christopher Conrad, respectively....read more