About
Dr. Martin Bachmann is research scientist with the Applied Spectroscopy Group at the German Remote Sensing Data Center, German Aerospace Center (DLR), Wessling, Germany. He has over 10 years of experience in the fields of hyperspectral data analysis and data pre-processing. For 8 years he was in charge of the data pre-processing chain of DLR’s Optical Airborne Remote Sensing and Calibration Facility (OpAiRS). He leads the work package on “Data Quality Control’ within the EnMAP ground segment, and is involved in the FP7 EUFAR Joint Research Activity on Data Quality Control for airborne hyperspectral and LiDAR pre-processing. In addition, he is also involved in the pre-processing of NOAA AVHRR time series within DLR’s TIMELINE project, and was involved within ESA CCI “fire” within the same field of activity. His research interests also include the development and application of spectral unmixing approaches, and algorithm developments towards the derivation of soil parameters using field, laboratory and airborne spectroscopy. His teaching and training experience is focusing on field and imaging spectroscopy, and includes courses at the Universities of Wuerzburg and Jena, within FP6 Marie Curie Project “Hyper-I-Net”, for Carl-Cranz-Gesellschaftand within DLR capacity building activities.
Courses
Recent News
Covid-19 situation and EAGLE
The Covid-19 situation is also challenging for the University as well as the EAGLE program. Even though we are all in the process to adapt to this new situation, the program itself is continuing as usual. All courses, exams, MSc thesis defense and so on will take...
new book by our lecturer “Intro to Spatial Data Analysis”
The upcoming book by our lecturer Jakob Schwalb-Willmann, Stefan Dech and Martin Wegmann on "Introduction to Spatial Data Analysis" with QGIS and first steps in R is available for pre-order - order now and get 30% discount. This textbook aims at students and...
M.Sc. defense by Benjamin Lee
Benjamin will defend his M.Sc. thesis " DEVELOPMENT OF A SEMI-ANALYTICAL MODEL FOR SEAGRASS MAPPING USING CLOUD-BASED COMPUTING AND OPEN SOURCED OPTICAL SATELLITE DATA" on Friday March 6th 10 am in room 1.009 OKW 86. from the abstract: "Seagrasses provide USD$2.28...
Anna Orthofer successfully presented her M.Sc. thesis
Anna Orthofer presented last Friday her M.Sc. thesis "Deriving Leaf Area Index and mowing dates for grasslands based on the radiative transfer model SLC and Sentinel 2 data" successfully and is our first EAGLE M.Sc. graduate in 2020. Congratulations!
EAGLE wall of fame – our graduates
All our graduated EAGLE students are shown on our wall-of-fame. Great way to see who studied when and what was the topic about. Some of them are already doing their PhD with us or other research organizations and two of these graduates just founded their own remote...
EAGLEs at DLR EOC
Our 2019 EAGLEs visited the DLR-EOC and learned a lot about current earth observation research at DLR. Many talks as well as discussions with PhD, Postdocs and teamleaders were organized by Prof. Claudia Kuenzer, head of the landsurface department and professor in...
Short Presentation on UAV and LiDAR
This Friday at 12am we will have two brief presentations by colleagues from the Max-Planck-Insitute and University Göttingen in room 1.009 OKW 86, right after the student presentations: Dr. Anne Scharf (MPI-AB) "The need for a closer look: how drones could fill in the...
M.Sc. idea presentations and internship presentation
On Friday 25th of October several EAGLEs will present their M.Sc. thesis ideas and report back from an internship experience. It will take place at 10am in room 1.009, OKW 86. Katrin Hasenbein (MSc idea): "The potential of time-series data to improve fine scale...
M.Sc. idea presentation by Salim Soltani
Salim Soltani will present his M.Sc. idea ""Spatio-Temporal Analysis of Urbanization caused by the Belt-and-Road Initiative" on October 23rd at 10:30 in 1.009 OKW 86.
Welcome of the 2019 EAGLEs
On Monday, 14th of October, at 4 p.m., we will again welcome a new generation of EAGLEs (Z6, 01.002). After the official welcome and some introductory presentations, we will also introduce the lecturer and provide first details about the upcoming semester(s)....