Albakry, M. F.; Alkhatib, I.; Alonso-González, D.; Anczarski, J.; Aralis, T.; Aramaki, T.; Langroudy, I. A.; Bathurst, C.; Bhattacharyya, R.; Biffl, A. J.; Brink, P. L.; Buchanan, M.; Bunker, R.; Cabrera, B.; Calkins, R.; Cameron, R. A.; Cartaro, C.; Cerdeño, D. G.; Chang, Y.-Y.; Chaudhuri, M.; Chen, J.-H.; Chen, R.; Chott, N.; Cooley, J.; Coombes, H.; Cushman, P.; Cyna, R.; Das, S.; Dharani, S.; di Vacri, M. L.; Diamond, M. D.; Elwan, M.; Fallows, S.; Fascione, E.; Figueroa-Feliciano, E.; Franzen, S. L.; Gevorgian, A.; Ghaith, M.; Godden, G.; Golatkar, J.; Golwala, S. R.; Gualtieri, R.; Hall, J.; Harms, S. A. S.; Hays, C.; Hines, B. A.; Hong, Z.; Hsu, L.; Huber, M. E.; Iyer, V.; Kashyap, V. K. S.; Keller, S. T. D.; Kelsey, M. H.; Kennard, K. T.; Kromer, Z.; Kubik, A.; Kurinsky, N. A.; Lee, M.; Leyva, J.; Lichtenberg, B.; Liu, J.; Liu, Y.; Asamar, E. L.; Lukens, P.; Noé, R. L.; MacFarlane, D. B.; Mahapatra, R.; Mammo, J. S.; Mayer, A. J.; McNamara, P. C.; Michaud, É.; Michielin, E.; Mickelson, K.; Mirabolfathi, N.; Mirzakhani, M.; Mohanty, B.; Mondal, D.; Monteiro, D.; Nelson, J.; Neog, H.; Orrell, J. L.; Osborne, M. D.; Oser, S. M.; Pandey, L.; Pandey, S.; Partridge, R.; Patel, P. K.; Pedreros, D. S.; Peng, W.; Perry, W. L.; Podviianiuk, R.; Potts, M.; Poudel, S. S.; Pradeep, A.; Pyle, M.; Rau, W.; Reynolds, T.; Rios, M.; Roberts, A.; Robinson, A. E.; Rosado, L.; Ryan, J. L.; Saab, T.; Sadek, D.; Sadoulet, B.; Sahoo, S. P.; Saikia, I.; Salehi, S.; Sander, J.; Sandoval, B.; Sattari, A.; Schnee, R. W.; Serfass, B.; Sharbaugh, A. E.; Shenoy, R. S.; Simchony, A.; Sinervo, P.; Smith, Z. J.; Soni, R.; Stifter, K.; Street, J.; Stukel, M.; Sun, H.; Tanner, E.; Tenpas, N.; Toback, D.; Villano, A. N.; Viol, J.; von Krosigk, B.; Wen, O.; Williams, Z.; Wilson, M. J.; Winchell, J.; Yellin, S.; Young, B. A.; Zatschler, B.; Zatschler, S.; Zaytsev, A.; Zhang, E.; Zheng, L.; Zuniga, A.; Zurowski, M. J.
Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning
2026. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1087, Art.Nr: 171437. doi:10.1016/j.nima.2026.171437

SuperCDMS Collaboration; Albakry, M. F.; Alkhatib, I.; Alonso-González, D.; Anczarski, J.; Aralis, T.; Aramaki, T.; Ataee Langroudy, I.; Bathurst, C.; Bhattacharyya, R.; Biffl, A. J.; Brink, P. L.; Buchanan, M.; Bunker, R.; Cabrera, B.; Calkins, R.; Cameron, R. A.; Cartaro, C.; Cerdeño, D. G.; Chang, Y.-Y.; Chaudhuri, M.; Chen, J.-H.; Chen, R.; Chott, N.; Cooley, J.; Coombes, H.; Cushman, P.; Cyna, R.; Das, S.; Dharani, S.; di Vacri, M. L.; Diamond, M. D.; Elwan, M.; Fallows, S.; Fascione, E.; Figueroa-Feliciano, E.; Franzen, S. L.; Gevorgian, A.; Ghaith, M.; Godden, G.; Golatkar, J.; Golwala, S. R.; Gualtieri, R.; Hall, J.; Harms, S. A. S.; Hays, C.; Hines, B. A.; Hong, Z.; Hsu, L.; Huber, M. E.; Iyer, V.; Kashyap, V. K. S.; Keller, S. T. D.; Kelsey, M. H.; Kennard, K. T.; Kromer, Z.; Kubik, A.; Kurinsky, N. A.; Lee, M.; Leyva, J.; Lichtenberg, B.; Liu, J.; Liu, Y.; Lopez Asamar, E.; Lukens, P.; López Noé, R.; MacFarlane, D. B.; Mahapatra, R.; Mammo, J. S.; Mast, N.; Mayer, A. J.; McNamara, P. C.; Meyer zu Theenhausen, H.; Michaud, É.; Michielin, E.; Mickelson, K.; Mirabolfathi, N.; Mirzakhani, M.; Mohanty, B.; Mondal, D.; Monteiro, D.; Nelson, J.; Neog, H.; Novati, V.; Orrell, J. L.; Osborne, M. D.; Oser, S. M.; Pandey, L.; Pandey, S.; Partridge, R.; Patel, P. K.; Pedreros, D. S.; Peng, W.; Perry, W. L.; Podviianiuk, R.; Potts, M.; Poudel, S. S.; Pradeep, A.; Pyle, M.; Rau, W.; Ren, R.; Reynolds, T.; Rios, M.; Roberts, A.; Robinson, A. E.; Rosado Del Rio, L.; Ryan, J. L.; Saab, T.; Sadek, D.; Sadoulet, B.; Sahoo, S. P.; Saikia, I.; Salehi, S.; Sander, J.; Sandoval, B.; Sattari, A.; Schmidt, B.; Schnee, R. W.; Serfass, B.; Sharbaugh, A. E.; Shenoy, R. S.; Simchony, A.; Sinervo, P.; Smith, Z. J.; Soni, R.; Stifter, K.; Street, J.; Stukel, M.; Sun, H.; Tanner, E.; Tenpas, N.; Toback, D.; Villano, A. N.; Viol, J.; von Krosigk, B.; Wang, Y.; Wen, O.; Williams, Z.; Wilson, M. J.; Winchell, J.; Yellin, S.; Young, B. A.; Zatschler, B.; Zatschler, S.; Zaytsev, A.; Zhang, E.; Zheng, L.; Zuniga, A.; Zurowski, M. J.
Search for low-mass electron-recoil dark matter using a single-charge sensitive SuperCDMS-HVeV detector
2026. Physical Review D, 113 (3), Art.-Nr.: 032001. doi:10.1103/5lnp-6mng

Arnold, M.; Hoyer, M.; Keller, S.
Flame Length and Geometry as Key Indicators for Real-Time Thermal Stress Monitoring in a Multi-Burner Combustion Chamber
2025. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-G-2025, 117–124. doi:10.5194/isprs-annals-X-G-2025-117-2025

Keller, S.
Einfluss der thermomechanischen Kopplung auf die Reibkraft in trockenen Gleitlagern unter hochfrequenter Anregung. Dissertation
2025. KIT Scientific Publishing. doi:10.5445/KSP/1000183036

Keller, S.
Einfluss der thermomechanischen Kopplung auf die Reibkraft in trockenen Gleitlagern unter hochfrequenter Anregung. Dissertation
2025, Mai 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000182049

Keller, S.; Benz, S.; Jehling, M.; Böhnke, D.; Hager, G.; Wursthorn, S.; Gallacher, C.; Reiter, D.; Hänchen, L.; Kistner, F.; Krikau, S.; Schenk, A.; Hinz, S.
Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung - Abschlussbericht
2025. Hessisches Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und ländlichen Raum. doi:10.5445/IR/1000182412

Keller, S.; Kistner, F.
Parking2PV Hesse
2025, April 7. doi:10.35097/tvn5vujqfvf99f32

Kistner, F.; Keller, S.
Machine Learning for Identifying Potential Photovoltaic Installations on Parking Areas
2025. Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2025), 244–252, SciPress. doi:10.5220/0013476300003935

Krikau, S.; Keller, S.
Deep Learning Framework for Multi-Class Segmentation of Photovoltaic Systems
2025. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–12. doi:10.1109/TGRS.2025.3640268

Krikau, S.; Keller, S.
Photovoltaic Systems: Reference Data on Rooftop and Ground-Mounted Installations
2025, August 14. doi:10.35097/ggptxqgmqqczjp7v

SuperCDMS Collaboration; Albakry, M. F.; Alkhatib, I.; Alonso-González, D.; Amaral, D. W. P.; Anczarski, J.; Aralis, T.; Aramaki, T.; Ataee Langroudy, I.; Bathurst, C.; Bhattacharyya, R.; Biffl, A. J.; Brink, P. L.; Buchanan, M.; Bunker, R.; Cabrera, B.; Calkins, R.; Cameron, R. A.; Cartaro, C.; Cerdeño, D. G.; Chang, Y.-Y.; Chaudhuri, M.; Chen, J.-H.; Chen, R.; Chott, N.; Cooley, J.; Coombes, H.; Cushman, P.; Cyna, R.; Das, S.; Dharani, S.; di Vacri, M. L.; Diamond, M. D.; Elwan, M.; Fallows, S.; Fascione, E.; Figueroa-Feliciano, E.; Franzen, S. L.; Gevorgian, A.; Ghaith, M.; Godden, G.; Golatkar, J.; Golwala, S. R.; Gualtieri, R.; Hall, J.; Harms, S. A. S.; Hays, C.; Hines, B. A.; Hong, Z.; Hsu, L.; Huber, M. E.; Iyer, V.; Kashyap, V. K. S.; Keller, S. T. D.; Kelsey, M. H.; Kennard, K. T.; Kromer, Z.; Kubik, A.; Kurinsky, N. A.; Lee, M.; Leyva, J.; Lichtenberg, B.; Liu, J.; Liu, Y.; Lopez Asamar, E.; Lukens, P.; López Noé, R.; MacFarlane, D. B.; Mahapatra, R.; Mammo, J. S.; Mast, N.; Mayer, A. J.; McNamara, P. C.; Meyer zu Theenhausen, H.; Michaud, É.; Michielin, E.; Mickelson, K.; Mirabolfathi, N.; Mirzakhani, M.; Mohanty, B.; Mondal, D.; Monteiro, D.; Nelson, J.; Neog, H.; Novati, V.; Orrell, J. L.; Osborne, M. D.; Oser, S. M.; Pandey, L.; Pandey, S.; Partridge, R.; Patel, P. K.; Pedreros, D. S.; Peng, W.; Perry, W. L.; Podviianiuk, R.; Potts, M.; Poudel, S. S.; Pradeep, A.; Pyle, M.; Rau, W.; Reid, E.; Ren, R.; Reynolds, T.; Rios, M.; Roberts, A.; Robinson, A. E.; Rosado Del Rio, L.; Ryan, J. L.; Saab, T.; Sadek, D.; Sadoulet, B.; Sahoo, S. P.; Saikia, I.; Salehi, S.; Sander, J.; Sandoval, B.; Sattari, A.; Schmidt, B.; Schnee, R. W.; Serfass, B.; Sharbaugh, A. E.; Shenoy, R. S.; Simchony, A.; Sinervo, P.; Smith, Z. J.; Soni, R.; Stifter, K.; Street, J.; Stukel, M.; Sun, H.; Tanner, E.; Tenpas, N.; Toback, D.; Villano, A. N.; Viol, J.; von Krosigk, B.; Wang, Y.; Wen, O.; Williams, Z.; Wilson, M. J.; Winchell, J.; Yellin, S.; Young, B. A.; Zatschler, B.; Zatschler, S.; Zaytsev, A.; Zhang, E.; Zheng, L.; Zuniga, A.; Zurowski, M. J.
Low-energy calibration of SuperCDMS HVeV cryogenic silicon calorimeters using Compton steps
2025. Physical Review D, 112 (9), Art.-Nr.: 092014. doi:10.1103/jj7w-gkgg

Wenner, F.; Reiter, D.; Keller, S.; Jehling, M.
(Wo) findet Innenentwicklung statt? – Ein siedlungsstruktureller Ansatz zur Analyse baulicher und demographischer Dynamiken
2025. Flächennutzungsmonitoring XVII, 109–121, Rhombos Verlag. doi:10.5281/zenodo.18801120

Arnold, M.; Keller, S.
Machine Learning Approaches for Vehicle Counting on Bridges Based on Global Ground-Based Radar Data
2024. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2-2024, 1–8. doi:10.5194/isprs-annals-X-2-2024-1-2024

Arnold, M.; Keller, S.
Machine Learning and Signal Processing for Bridge Traffic Classification with Radar Displacement Time-Series Data
2024. Infrastructures, 9 (3), Article no: 37. doi:10.3390/infrastructures9030037

Arnold, M. O.
Methods for Event Detection and Classification for Radar-Based Bridge Monitoring. Dissertation
2024, Oktober 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000175422

Böhnke, D. H.; Benz, S. A.; Gallacher, C.; Keller, S.; Krikau, S.; Jehling, M.
Maßnahmen kommunaler Klimaanpassung - von Optionen zur räumlichen Verortung
2024, Juni 11. 16. Dresdner Flächennutzungssymposium (DFNS 2024), Dresden, Deutschland, 11.–12. Juni 2024

Florath, J.; Chanussot, J.; Keller, S.
Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis
2024. ISPRS International Journal of Geo-Information, 13 (4), Art.-Nr. 107. doi:10.3390/ijgi13040107

Florath, J.; Chanussot, J.; Keller, S.
Rapid natural hazard extent estimation from twitter data: investigation for hurricane impact areas
2024. Natural Hazards, 120 (7), 6775–6796. doi:10.1007/s11069-024-06488-2

Florath, J.; Chanussot, J.; Keller, S.
Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas
2024. Fire, 7 (1), Art.-Nr.: 6. doi:10.3390/fire7010006

Florath, J. N.
Assessing the Impacts of Natural Hazards on Road Infrastructure Using Multi-Source Geoinformation. Dissertation
2024, April 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000169618

Keller, S.; Fidlin, A.
Thermo-mechanical investigation of a friction oscillator under high-frequency excitation = Thermomechanische Betrachtung eines Reibschwingers unter hochfrequenter Anregung
2024. Forschung im Ingenieurwesen, 88 (1), Artkl. Nr.: 33. doi:10.1007/s10010-024-00753-3

Keller, S.; Fidlin, A.
Thermo-Mechanical Investigation of a Rotational Friction Joint Under High-Frequency Excitation
2024. Proceedings of ITS-IFToMM 2024. Ed.: E. Ciulli, 306–315, Springer Nature Switzerland. doi:10.1007/978-3-031-62616-6_31

Labenski, P.
Assessing fuels in European temperate forests and heathlands using remote sensing. Dissertation
2024, Juni 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171668

Michel, C.; Keller, S.
Assessing Important Uncertainty Influences of Ground-Based Radar for Bridge Monitoring
2024. IEEE Geoscience and Remote Sensing Letters, 21, Art.-Nr.: 3501005. doi:10.1109/LGRS.2023.3343076

Brecht, P.; Keller, S.; Nievera, M.; Hahn, C.; Pfaff, F.; Albers, A.
Product Digital-Platform-Business Co-Design: A Systematic Sprint Approach
2023. Procedia CIRP, 119, 495 – 500. doi:10.1016/j.procir.2023.03.111

Florath, J.; Chanussot, J.; Keller, S.
Investigation of Volunteered Geographic Information Data for Near-Real-Time Spatial Analysis of Fire Hazards
2023. Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management GISTAM

Keller, S.; Fidlin, A.
Thermomechanical Investigation of a Friction Oscillator under High-frequency Excitation
2023. 4. VDI-Fachtagung: Schwingungen 2023, Würzburg, 27th -28th November 2023, 171–184, VDI Verlag. doi:10.51202/9783181024294-171

Keller, S.; Fidlin, A.
Friction Reduction in a Revolute Joint by the Use of Axial High-Frequency Excitation
2023. Experimental Mechanics in Engineering and Biomechanics - Proceedings ICEM20. Ed.: J.F. Silva Gomes, Article no: 19958, NEGI-Instituto de Ciência e Inovação em Engenharia Mecânica e Gestão Industrial

Keller, S.
Konzeption und Einsatz Maschineller Lernverfahren zur Schätzung physikalischer Größen aus heterogenen Daten der Geoinformation. Habilitation
2023. Karlsruher Institut für Technologie (KIT)

Florath, J.; Keller, S.
Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area
2022. Remote sensing, 14 (3), Art.-Nr.: 657. doi:10.3390/rs14030657

Florath, J.; Keller, S.; Abarca-del-Rio, R.; Hinz, S.; Staub, G.; Weinmann, M.
Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types
2022. Remote sensing, 14 (4), Article no: 845. doi:10.3390/rs14040845

Keller, S.; Seemann, W.
Thermo-mechanische Betrachtung eines Drehgelenks mit trockener Reibung unter axialer Anregung
2022. I. D-A-CH (Hrsg.), Achte IFToMM D-A-CH Konferenz 2022: 24./25. Februar 2022, Online-Konferenz, Universität Duisburg-Essen. doi:10.17185/duepublico/75424

Kühnlein, L.; Keller, S.
Evaluation of Transformers and Convolutional Neural Networks for High-Dimensional Hyperspectral Soil Texture Classification
2022. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WHISPERS56178.2022.9955087

Landgraf, S.; Kühnlein, L.; Hillemann, M.; Hoyer, M.; Keller, S.; Ulrich, M.
Evaluation of self-supervised learning approaches for semantic segmentation of industrial burner flames
2022. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 601–607. doi:10.5194/isprs-archives-XLIII-B2-2022-601-2022

Michel, C.; Keller, S.
Determining and Investigating the Variability of Bridges’ Natural Frequencies with Ground-Based Radar
2022. Applied Sciences, 12 (11), Artk.Nr.: 5354. doi:10.3390/app12115354

Arnold, M.; Hoyer, M.; Keller, S.
Convolutional Neural Networks for Detecting Bridge Crossing Events with Ground-Based Interferometric Radar Data
2021. ISPRS annals, V-1-2021, 31–38. doi:10.5194/isprs-annals-V-1-2021-31-2021

Braun, A. C.; Weinmann, M.; Wursthorn, S.; Keller, S.; Schenk, A.; Jutzi, B.; Hinz, S.
Remote Sensing and Computer Vision Image Analysis: Summary and Recent Trends
2021. Object and pattern recognition in remote sensing. Ed.: S. Hinz, 323–346, Whittles Publishing

Döring, A.; Waibel, P.; Matthes, J.; Scherer, O.; Keller, H. B.; Keller, S.; Müller, J.; Schneider, O.
Ratio-based features for data-driven bridge monitoring and damage detection
2021. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. Ed.: H. Yokota, 2532–2541, CRC Press. doi:10.1201/9780429279119-346

Döring, A.; Waibel, P.; Matthes, J.; Bleszynski, L.; Scherer, O.; Keller, H. B.; Keller, S.; Müller, J.; Schneider, O.
Ratio-based features for data-driven bridge monitoring and damage detection
2021, April. 10th Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations (IABMAS 2021), Online, 11.–18. April 2021

Florath, J.; Keller, S.; Staub, G.; Weinmann, M.
Optical Remote Sensing for Glacier Monitoring with Respect to Different Snow and Ice Types: A Case Study for the Southern Patagonian Icefield
2021. 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 24–26 March 2021, Article no: 33, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WHISPERS52202.2021.9484055

Guth, J.; Keller, S.; Hinz, S.; Winter, S.
Towards detecting, characterizing and rating of road class errors in crowd-sourced road network databases
2021. Journal of spatial information science, 22, 31. doi:10.5311/JOSIS.2021.22.677

Hermann, J. M.; Müller, H.; Daccache, L.; Adler, C.; Keller, S.; Metzler, M.; Jacob, T.; Kibler, L. A.
Formic acid oxidation reaction on Au(111) electrodes modified with 4-mercaptopyridine SAM
2021. Electrochimica Acta, 388, Art.-Nr.: 138547. doi:10.1016/j.electacta.2021.138547

Keller, S.; Seemann, W.
Analytical and numerical approach on quenching friction‐induced oscillations in MDOF‐systems by the use of high‐frequency excitation
2021. Proceedings in applied mathematics and mechanics, 21 (1), e202100066. doi:10.1002/pamm.202100066

Keller, S.; Seemann, W.
Quenching friction‐induced oscillations in multibody‐systems by the use of high‐frequency excitation
2021. Proceedings in applied mathematics and mechanics, 20 (1), Art.-Nr.: e202000185. doi:10.1002/pamm.202000185

León, C. D.; Brauer, F.; Hügler, M.; Keller, S.; Kosow, H.; Krauss, M.; Wasielewski, S.; Wienhöfer, J.
Integrated Water Management Solutions in the Lurín Catchment, Lima, Peru – Supporting United Nations’ Sustainable Development Goal 6. Final report of the joint project TRUST
2021. Universität Stuttgart. doi:10.18419/opus-11390

Maier, P.; Keller, S.; Hinz, S.
Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies
2021. Remote sensing, 13 (4), 718. doi:10.3390/rs13040718

Michel, C.; Keller, S.
Introducing a non-invasive monitoring approach for bridge infrastructure with ground-based interferometric radar
2021. 13th European Conference on Synthetic Aperture Radar, EUSAR 2021: Online ; 29 March 2021 through 1 April 2021, 1073–1077, Institute of Electrical and Electronics Engineers (IEEE)

Michel, C.; Keller, S.
Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring
2021. Sensors, 21 (6), 2172. doi:10.3390/s21062172

Sefrin, O.; Riese, F. M.; Keller, S.
Deep Learning for Land Cover Change Detection
2021. Remote sensing, 13 (1), Article no: 78. doi:10.3390/rs13010078

Vogelbacher, M.; Keller, S.; Zehm, W.; Matthes, J.
Advanced Methods for Kiln-Shell Monitoring to Optimize the Waelz Process for Zinc Recycling
2021. Processes, 9 (6), 1062. doi:10.3390/pr9061062

Arnold, M.; Keller, S.
Detection and classification of bridge crossing Events with ground-based interferometric radar data and machine learning approaches
2020. ISPRS annals, V-1-2020, 109–116. doi:10.5194/isprs-annals-V-1-2020-109-2020

Fuchs, S.; Keller, S.
Suche nach Wasserreserven aus der Luft - Am Karlsruher Institut für Technologie werden Methoden der Fernerkundung für eine nachhaltige Trinkwasserversorgung eingesetzt - Campusreport am 14.01.2020
2020. doi:10.5445/DIVA/2020-20

Guth, J.; Wursthorn, S.; Keller, S.
Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control
2020. ISPRS International Journal of Geo-Information, 9 (1), Article No.55. doi:10.3390/ijgi9010055

Keller, S.; Gabriel, R.; Guth, J.
Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data
2020. ISPRS International Journal of Geo-Information, 9 (11), Art.-Nr.: 638. doi:10.3390/ijgi9110638

Keller, S.; Michel, C.; Schneider, O.; Müller, J.; Arnold, M.; Döring, A.; Hoyer, M.; Hinz, S.; Keller, H. B.
Überwachung von Brückeninfrastrukturen : Neuer Ansatz von konventionellen und berührungslosen Sensoren
2020. Brückenbau, (3), 22–29

Keller, S.; Riese, F. M.; Allroggen, N.; Jackisch, C.
HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques
2020, Mai. doi:10.5880/fidgeo.2020.015

Kubisch, S.; Guth, J.; Keller, S.; Bull, M. T.; Keller, L.; Braun, A. C.
The contribution of tsunami evacuation analysis to evacuation planning in Chile: Applying a multi-perspective research design
2020. International journal of disaster risk reduction, 45, Article No.101462. doi:10.1016/j.ijdrr.2019.101462

Maier, P. M.; Keller, S.
SpecWa: Spectral remote sensing data and chlorophyll a values of inland waters
2020. doi:10.5880/fidgeo.2020.036

Riese, F. M.; Keller, S.
Supervised, Semi-supervised, and Unsupervised Learning for Hyperspectral Regression
2020. Hyperspectral Image Analysis : Advances in Machine Learning and Signal Processing. Hrsg.: S. Prasad, 187–232, Springer Nature. doi:10.1007/978-3-030-38617-7_7

Riese, F. M.; Keller, S.; Hinz, S.
Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data
2020. Remote sensing, 12 (1), Art. Nr.: 7. doi:10.3390/rs12010007

Riese, F. M.; Schroers, S.; Wienhöfer, J.; Keller, S.
Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019
2020, April 9. doi:10.5445/IR/1000118082

Sefrin, O.; Riese, F. M.; Keller, S.
Code for Deep Learning for Land Cover Change Detection 1.0.1
2020. doi:10.5281/zenodo.4289079

Wagner, P.; Riese, F. M.; Keller, S.
CAOS Sentinel-2 Pipeline in Python
2020. doi:10.5281/zenodo.3879622

Guth, J.; Wursthorn, S.; Braun, A. C.; Keller, S.
Development of a generic concept to analyze the accessibility of emergency facilities in critical road infrastructure for disaster scenarios: exemplary application for the 2017 wildfires in Chile and Portugal
2019. Natural hazards, 97 (3), 979–999. doi:10.1007/s11069-019-03672-7

Keller, S.
Fusion hyperspektraler, LWIR- und Bodenradar-Daten mit maschinellen Lernverfahren zur Bodenfeuchteschätzung
2019. Digitale Bildverarbeitung und Geoinformation. Datenfusion unter geometrischen, physikalischen und semantischen Aspekten. Hrsg.: S. Hinz, 217–250, Wichmann

Kubisch, S.; Guth, J.; Keller, S.; Bull, M.; Braun, A.
Combining a social science approach and GIS-based simulation to analyse evacuation in natural disasters: A case study in the Chilean community of Talcahuano
2019. Conference proceedings 16th International Conference on Information Systems for Crisis Response and Management, Valencia (Spain), May 19-22. Ed.: Z. Franco, 497–515, Universitat Politècnica de València

León, C. D.; Kosow, H.; Zahumensky, Y.; Krauß, M.; Wasielewski, S.; Minke, R.; Wienhöfer, J.; Riese, F. M.; Keller, S.; Sturm, S.; Brauer, F.; Hügler, M.; Gottwalt, J.; Riepl, D.
Solutions and planning tools for water supply and wastewater management in prosperous regions tackling water scarcity
2019. Proceedings of the GRoW Midterm Conference - Global analyses and local solutions for sustainable water resources management, Frankfurt am Main, 20-21 February 2019. Ed.: A. Kramer, 28–31, adelphi

Maier, P.; Keller, S.
ESTIMATING CHLOROPHYLL A CONCENTRATIONS OF SEVERAL INLAND WATERS WITH HYPERSPECTRAL DATA AND MACHINE LEARNING MODELS
2019. ISPRS Geospatial Week 2019, 10–14 June 2019, Enschede, The Netherlands. Ed.: G. Vosselman, 609–614, ISPRS. doi:10.5194/isprs-annals-IV-2-W5-609-2019

Maier, P. M.; Keller, S.
Application Of Different Simulated Spectral Data And Machine Learning To Estimate The Chlorophyll A Concentration Of Several Inland Waters
2019. Institute of Electrical and Electronics Engineers (IEEE)

Maier, P. M.; Keller, S.
Application Of Different Simulated Spectral Data And Machine Learning To Estimate The Chlorophyll A Concentration Of Several Inland Waters
2019. 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 24-26 Sept. 2019, Amsterdam, Netherlands, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WHISPERS.2019.8921073

Riese, F. M.; Keller, S.
Hyperspectral Regression: Code Examples
2019. doi:10.5281/zenodo.3450676

Riese, F. M.; Keller, S.
SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python
2019

Riese, F. M.; Keller, S.
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
2019. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2019 ISPRS) Geospatial Week 2019, Enschede, NL, June 10-14, 2019. Vol. IV-2/W5, 615–621. doi:10.5194/isprs-annals-IV-2-W5-615-2019

Riese, F. M.; Sexauer, A.; Wetzel, C.; Reiling, Y.; Keller, S.; Hinz, S.
Künstliche Intelligenz in der Umweltforschung
2019

Sefrin, O.; Riese, F. M.; Keller, S.
Soil Texture Processing
2019. doi:10.5281/zenodo.3431628

Stötzer, J.; Wursthorn, S.; Keller, S.
Fuzzy Estimation of Link Travel Time from a Digital Elevation Model and Road Hierarchy Level
2019. Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Heraklion, GR, May 3-5, 2019. Vol. 1, 15–25, SciTePress. doi:10.5220/0007655800150025

Bradley, P. E.; Keller, S.; Weinmann, M.
Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data
2018. Remote sensing, 10 (10), Art.Nr.: 1564. doi:10.3390/rs10101564

Braun, A.; Stötzer, J.; Kubisch, S.; Keller, S.
Critical Infrastructure Analysis (CRITIS) in Developing Regions – Designing an Approach to Analyse Peripheral Remoteness, Risks of Accessibility Loss, and Isolation due to Road Network Insufficiencies in Chile
2018. GI-Forum, 6 (2), 302 - 321. doi:10.1553/giscience2018_02_s302

Gabriel, R.; Keller, S.; Matthes, J.; Waibel, P.; Keller, H. B.; Hinz, S.
Infrared measurements and estimation of temperature in the restrictive scope of an industrial cement plant
2018. 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018, 53–60, Curran. doi:10.5194/isprs-annals-IV-1-53-2018

Jesswein, I.; Uebele, S.; Dieterich, A.; Keller, S.; Hirth, T.; Schiestel, T.
Influence of surface properties on the dip coating behavior of hollow fiber membranes
2018. Journal of applied polymer science, 135 (16), 46163. doi:10.1002/app.46163

Keller, S.; Maier, P.; Riese, F.; Norra, S.; Holbach, A.; Börsig, N.; Wilhelms, A.; Moldaenke, C.; Zaake, A.; Hinz, S.
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity
2018. International journal of environmental research and public health, 15 (9), 1881/1–15. doi:10.3390/ijerph15091881

Keller, S.; Riese, F. M.; Allroggen, N.; Jackisch, C.; Hinz, S.
Modeling Subsurface Soil Moisture Based on Hyperspectral Data : First Results of a Multilateral Field Campaign
2018. Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie 2018 (PFGK18) : Beiträge der 37. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 5. Münchner GI-Runde Runder Tisch GIS e.V. und des 66. Deutscher Kartographie Kongress der DGfK e.V., München, Deutschland, 7. - 9. März 2018. Hrsg.: T. P. Kersten, 34–48, Deutsche Gesellschaft für Photogrammetrie

Keller, S.; Riese, F. M.; Stötzer, J.; Maier, P. M.; Hinz, S.
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
2018. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences - Symposium “Innovative Sensing – From Sensors to Methods and Applications”, Karlsruhe, Germany, 10–12 October 2018. Volume: IV-1, 101–108, ISPRS. doi:10.5194/isprs-annals-IV-1-101-2018

Maier, P. M.; Hinz, S.; Keller, S.
Estimation of Chlorophyll a, Diatoms and Green Algae Based on Hyperspectral Data with Machine Learning Approaches
2018. Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie 2018 (PFGK18) : Beiträge der 37. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 5. Münchner GI-Runde Runder Tisch GIS e.V. und des 66. Deutscher Kartographie Kongress der DGfK e.V., München, Deutschland, 7. - 10. März 2018. Hrsg.: T. P. Kersten, 49–57, Deutsche Gesellschaft für Photogrammetrie

Maier, P. M.; Keller, S.
Machine learning regression on hyperspectral data to estimate multiple water parameters
2018

Riese, F. M.; Keller, S.
Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data
2018. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22nd - 27th July, 2018, 6151–6154, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2018.8517812

Riese, F. M.; Keller, S.
Hyperspectral benchmark dataset on soil moisture
2018, April 24. doi:10.5281/zenodo.1227837

Riese, F. M.; Keller, S.
Fusion of hyperspectral and ground penetrating radar data to estimate soil moisture
2018. 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers 2018), Amsterdam, NL, September 23-26, 2018, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WHISPERS.2018.8747076

Waibel, P.; Schneider, O.; Keller, H. B.; Müller, J.; Schneider, O.; Keller, S.
A strain sensor based monitoring and damage detection system for a two-span beam bridge
2018. Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges: Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), Melbourne, AUS, July 9-13, 2018. Ed.: N. Powers, 1627–1634, CRC Press

Braun, A.; Stötzer, J.; Kubisch, S.; Dittrich, A.; Keller, S.
A Vulnerability Index and Analysis for the Road Network of Rural Chile
2017. Natural hazard impacts on technological systems and infrastructures - European Geosciences Union General Assembly, Vienna, Austria, 23–28 April 2017

Ilehag, R.; Weinmann, M.; Schenk, A.; Keller, S.; Jutzi, B.; Hinz, S.
Revisiting Existing Classification Approaches for Building Materials Based on Hyperspectral Data
2017. The international archives of photogrammetry, remote sensing and spatial information sciences, XLII-3/W3, 65–71. doi:10.5194/isprs-archives-XLII-3-W3-65-2017

Keller, S.; Braun, A. C.; Hinz, S.; Weinmann, M.
Investigation of the Potential of Hyperspectral EnMAP Data for Land Cover and Land Use Classification
2017. Kulturelles Erbe erfassen und bewahren : Von der Dokumentation zum virtuellen Rundgang : 37. Wissenschaftlich-Technische Jahrestagung der DGPF, Würzburg, Deutschland, 7.-10. März 2017. Hrsg.: T. P. Kersten, 110–121, DGPF

Norra, S.; Börsig, N.; Holbach, A.; Wilhelms, A.; Yang, J.; Haushahn, P.; Moldaenke, C.; Zaake, A.; Maier, P.; Keller, S.; Hinz, S.; Schmitt, C.; Düpmeier, C.
Smarte online und in-situ operierende Multisensorsondensysteme für das moderne Gewässermonitoring
2017. DWA-Landesverbandstagung 2017 Baden-Württemberg, Fellbach, 12.-13.10.2017, 217–230, DWA

Vogelbacher, M.; Keller, S.; Waibel, P.; Matthes, J.; Keller, H. B.
Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern durch bildbasierte Verfahren
2017. 28. Deutscher Flammentag (2017), Darmstadt, Deutschland, 6.–7. September 2017

Waibel, P.; Vogelbacher, M.; Matthes, J.; Keller, S.; Keller, H. B.
Neuartige Kenngrößen zur Online-Beschreibung des Sonderabfall-Verbrennungsprozesses im Drehrohr einer Industrieanlage auf Basis von Infrarotaufnahmen
2017. Energie aus Abfall, Band 14. Hrsg.: K. J. Thomé-Kozmiensky, 541–552, Thomé-Kozmiensky Verlag (TK)

Keller, S.; Braun, A. C.; Hinz, S.; Weinmann, M.
Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data
2016. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, USA, 21 - 24 August 2016, 1–6

Matthes, J.; Keller, S.; Schönecker, H.; Waibel, P.; Keller, H. B.
Effizienzsteigerung von bestehenden Anlagen. Optimierung in der thermischen Abfallbehandlung durch den Einsatz von Infrarot-Kameratechnologien und dem INSPECT pro control System / Improving the efficiency of waste incineration processes. Optimization of thermal waste treatment based on infrared camera technologies and the INSPECT pro control system
2016. 28. VDI-/ITAD-Konferenz Thermische Abfallbehandlung 2016, Würzburg, 21.-22.September

Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, S.; Keller, H. B.
Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern
2016. Anlagenbezogenes Monitoring : neue Anforderungen - neue Konzepte ; Würzburg, 25. und 26. Oktober 2016, 201–212, VDI Verlag

Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, S.; Keller, H. B.
Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern
2016. 3.VDI-Fachtagung ’Anlagenbezogenes Monitoring’, Würzburg, 25.-26.Oktober 2016

Braun, A. C.; Weinmann, M.; Keller, S.; Müller, R.; Reinartz, P.; Hinz, S.
The EnMAP contest: developing and comparing classification approaches for the Environmental Mapping and Analysis Programme - Dataset and first results
2015. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week 2015; La Grande Motte; France; 28 September 2015 through 3 October 2015. Ed.: N. Paparoditis, 169–175, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprsarchives-XL-3-W3-169-2015

Keller, S.
Datenbasierte Analyse und Modellbildung zur Abschätzung spezifischer Gefahren des Klimawandels für Straßen - Methodik und Szenarien. Dissertation
2015. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000048624

Keller, S.; Atzl, A.
Mapping Natural Hazard Impacts on Road Infrastructure - The Extreme Precipitation in Baden-Württemberg, Germany, June 2013
2014. International journal of disaster risk science, 5 (3), 227–241. doi:10.1007/s13753-014-0026-1

Atzl, A.; Keller, S.
A Systemic Approach for the Analysis of Infrastructure-Specific Social Vulnerability
2013. From social vulnerability to resilience: measuring progress toward disaster risk reduction : outcomes of the 7th UNU-EHS Summer Academy of the Munich Re Foundation Chair on Social Vulnerability, 1 - 7 July 2012, Hohenkammer, Germany. Ed.: S.L. Cutter, 27–43, UNU-EHS

Jahreis, G.; Wohlgemuth, S.; Grünz, G.; Martin, L.; Knieling, M.; Engel, R.; Türk, M.; Keller, S.
Dietary Crystallinge common-, micro-, nanoscale and emulsified nanoscale sitosterol reduce equally the cholesterol pool in guinea pigs, but varying nanosystems result in different sterol concentrations in serosal jejunum
2013. Nanomedicine, 9, 1027–1035. doi:10.1016/j.nano.2013.03.007

Keller, S.
Klimabezogene Hotspot-Analyse Kritischer Infrastrukturen in Baden-Württemberg
2013. Deutscher Geographentag Passau 2.-8. Oktober 2013, Fachsitzung 71

Keller, S.; Atzl, A.
Anpassung regionalplanerischer Entscheidungen mit Hilfe eines GIS-basierten Tools
2012. Themenblock "Energiewende und Klimaschutz: Bewertungs- und Steuerungsinstrumente zur Unterstützung der naturverträglichen Anpassung", EUREGIA Leipzig , 24.10.2012

Hilpert, K.; McLeod, B.; Yu, J.; Elliott, M. R.; Rautenbach, M.; Ruden, S.; Bürck, J.; Muhle-Goll, C.; Ulrich, A. S.; Keller, S.; Hancock, R. E. W.
Short cationic antimicrobial peptides interact with ATP
2010. Antimicrobial Agents and Chemotherapy, 54, 4480–83. doi:10.1128/AAC.01664-09

Holy, V.; Baumbach, T.; Lübbert, D.; Helfen, L.; Ellyan, M.; Mikulik, P.; Keller, S.; DenBaars, S. P.; Speck, J.
Diffuse X-ray scattering from statistically inhomogeneous distributions of threading dislocations beyond the ergodic hypothesis
2008. Physical Review B, 77, 094102/1–9. doi:10.1103/PhysRevB.77.094102

Lübbert, D.; Baumbach, T.; Holy, V.; Mikulik, P.; Helfen, L.; Pernot, P.; Elyyan, M.; Keller, S.; Katona, T. M.; DenBaars, S. P.; Speck, J. S.
Microdiffraction imaging of dislocation densities in microstructured samples
2008. EPL, 82, 56002/1–2. doi:10.1209/0295-5075/82/56002

Baumbach, T.; Lübbert, D.; Holy, V.; Mikulik, P.; Helfen, L.; Pernot, P.; Elyyan, M.; Keller, S.; Haskell, B.; Speck, J.
Epitaxial lateral overgrowth of GaN studied by X-ray micro-diffraction imaging
2006. 8th Bienneal Conf.on High Resolution X-Ray Diffraction and Imaging (XTOP 2006), Baden-Baden, September 19-22, 2006 Book of Abstracts

Lübbert, D.; Mikulik, P.; Pernot, P.; Helfen, L.; Craven, M. D.; Keller, S.; DenBaars, S.; Baumbach, T.
X-ray microdiffraction imaging investigations of wing tilt in epitaxially overgrown GaN
2006. Physica status solidi (a), 203, 1733–38. doi:10.1002/pssa.200565251

Lübbert, D.; Baumbach, T.; Mikulik, P.; Pernot, P.; Helfen, L.; Keller, S.; Den Baars, S.
Characterization of epitacially laterally overgrown GaN structures by micrometer-resolved X-ray rocking curve imaging
2005. Physik seit Albert Einstein : 69.Jahrestagung der DPG, Berlin, 4.-9.März 2005 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.40(2005) HL 43.7

Lübbert, D.; Baumbach, T.; Mikulik, P.; Pernot, P.; Helfen, L.; Köhler, R.; Katona, T. M.; Keller, S.; DenBaars, S. P.
Local wing tilt analysis of laterally overgrown GaN by x-ray rocking curve imaging
2005. Journal of Physics D, 38, A50-A54. doi:10.1088/0022-3727/38/10A/010

Natau, O.; Buehler, M.; Keller, S.; Mutschler, T.
Large scale triaxial tests in combination with a FEM analysis for the determination of the properties of a transversal isotropic rock mass
1995. In: Proceedings of the 8th International Congress on Rock Mechanics, Tokyo, Japan 1995. Ed.: T. Fujii. Rotterdam 1995. S. 635-643

Keller, S.
Einflüsse von Foliationsbelägen, Temperaturen und Fluiden auf die Scherfestigkeit von Trennflächen in Paragneisen und Amphiboliten
1994. In: Proceedings. "Forum für junge Geotechniker" anläßlich der 23. Baugrundtagung, Köln 1994. S. 16

Keller, S.; Natau, O.
High temperature direct shear test parameters of soliations in gneisses of the KTB-pilot-hole
1993. In: Geoscientific results, Giessen 1993. Hrsg.: R. Emmermann. Hannover 1993. S. 187-190. (Beitraege zum KTB-Kolloquium. 6.) (KTB-Report. 93,2.)