Daniel Scherer, M.Eng.

Deutsches Geodätisches Forschungsinstitut und
Lehrstuhl für Geodätische Geodynamik (Prof. Seitz)

Postadresse
Arcisstr. 21
80333 München

Tel.: +49 (89) 23031-1109
Fax.: +49 (89) 23031-1240
daniel.scherer@tum.de

Research Area

Satellite altimetry over inland waters

Academic Career

  • since 10/2019, Research associate at Deutsches Geodätisches Forschungsinstitut der TU München (DGFI-TUM)
  • 10/2017 - 09/2019, Master Degree in Geomatik at the Hochschule München (M.Eng.)
  • 10/2013 - 09/2017, Bachelor Degree in Kartographie und Geomedientechnik at the Hochschule München (B.Eng.)

Publications

2020

Scherer D., Schwatke C., Krzystek P.: Estimation of River Discharge Using Satellite Altimetry and Optical Remote Sensing Images. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V., 29, 497-504, 2020 (Open Access)

2019

Scherer D.: Estimation of River Discharge using Satellite Altimetry and optical Remote Sensing Images. University of Applied Science Munich (M.Eng. Geomatik), Master Thesis, 2019
Schwatke C., Scherer D., Dettmering D.: Automated Extraction of Consistent Time-Variable Water Surfaces of Lakes and Reservoirs Based on Landsat and Sentinel-2. Remote Sensing, 11(9), 1010, 10.3390/rs11091010, 2019 (Open Access)

2017

Scherer D.: Automated Extraction of Time-Variable Water Surfaces with Cloud-Based Google Earth Engine. University of Applied Science Munich (B.Eng. Kartographie und Geomedientechnik), Bachelor Thesis, 2017

Posters/Presentations

2020

Scherer D., Schwatke C., Krzystek P.: Estimation of River Discharge Using Satellite Altimetry and Optical Remote Sensing Images. 40. Wissenschaftlich-Technische Jahrestagung der DGPF, Stuttgart, Germany, 2020 (Poster)

2019

Dettmering D., Schwatke C., Scherer D., Ellenbeck L., Seitz F.: Satellitenaltimetrie: Wasserhöhen, Speichervolumen und Abflüsse aus dem Weltraum. Neue Perspektiven der Erdbeobachtung, Köln, Germany, 2019
Schwatke C., Scherer D.: Estimation of gap-less time series of inland waters` surface areas using Landsat and Sentinel-2. ESA Living Planet Symposium 2019, Milan, 2019 (Poster)
Schwatke C., Scherer D., Dettmering D.: DAHITI: Improving altimetry-derived water level time series of inland waters by a combination with optical remote sensing images from Landsat and Sentinel-2. ESA Living Planet Symposium 2019, Milan, 2019 (Poster)
Schwatke C., Scherer D., Dettmering D.: AWAX: A new Approach for Automated Extraction of Consistent Time-Variable Water Surfaces of Lakes and Reservoirs using Landsat and Sentinel-2. IUGG General Assembly 2019, Montreal, Canada, 2019
Schwatke C., Scherer D., Dettmering D., Ellenbeck L.: Estimating Long-Term Water Level Time Series of Inland Waters since 1984 by Combining Satellite Altimetry and Optical Remote Sensing Images. IUGG General Assembly 2019, Montreal, Canada, 2019

2018

Scherer D., Schwatke C.: Automated Extraction of Time-Variable Water Surfaces based on Google Earth Engine. Geodätische Woche, Frankfurt a. M., Germany, 2018
Schwatke C., Scherer D.: Automated Extraction of Time-Variable Water Surfaces based on Google Earth Engine. 2nd Mapping Water Bodies from Space Conference, Frascati, Italy, 2018

Find more topics on the central web site of the Technical University of Munich: www.tum.de