Martin Bachmann

hyperspectral soil remote sensing

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.

Recent News

Internship Report on Tuesday, May 21st at 12:00

Internship Report on Tuesday, May 21st at 12:00

NEW DATE: On Tuesday, May 21st, Elly Schmid will present her internship at 12:00 in seminar room 3, John-Skilton-Str. 4a. : From the abstract: The internship was carried out as part of the HEATS-(Urban heat) Project of the Georisks team at the Earth Observation...

Internship Report on Tuesday, April 30 at 14:00

Internship Report on Tuesday, April 30 at 14:00

On Tuesday, April 30 Konstantin Müller will present his internship " GDELT News Analysis of the Noto Earthquake via ERNIE" at 14:00 in 01.B.03, John-Skilton-Str. 4a. : From the abstract: The analysis of socioeconomic data has gained increasing importance. The exchange...