Mitarbeiterbild von Sina Keller neu

PD Dr. rer. nat. Sina Keller

Akademische Mitarbeiterin
office hours: Nach Vereinbarung
room: 002 (Geb. 20.52)
phone: +49 721 608 41815
fax: +49 721 608 48450
sina keller ∂does-not-exist.kit edu

Curriculum vitae
Research emphasis
Teaching
Other Profiles
Awards
Memberships & Voluntary Activities
Media
Projects
Publications

Curriculum vitae

01/2023	Habilitation at the KIT-Department of Civil Engineering, Geo and Environmental Sciences, Area of Expertise: Machine Learning in Environmental Informatics
02-03/2016	Visiting scientist at the Institute of Geodesy and Photogrammetry, ETH Zürich, Switzerland
2015-2017	Participant of the KIT mentoring program for researcher "X-Ment"
Since 07/2015	Post-Doctorate at the Karlsruhe Institute of Technology (KIT)
2012-2015	Promotion to Dr. rer. nat. at the Karlsruhe Institute of Technology (KIT)
Since 2012	Student of the KIT Graduate School for Climate and Environment (KIT-GRACE)
Since 2012	Lecture for mathematics at the Baden-Württemberg Cooperative State University in the degree program "Applied Computer Science" and "Business Information Systems" as well as consultant on the optes-project
08/2012	Expert Reviewer for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Working Group III, Chapter 12
07-08/2011	Grant-holder for the University of Exeter International Summer School on "Climate Change: Society and Technology", Exeter/ UK
07/2010	Research Associate at the Karlsruhe Institute of Technology (KIT)
2004-2009	Studies in mathematics and geography, University of Karlsruhe (now KIT)

Research emphasis

Machine learning for predicting physical parameters based on remote sensing data
Hyperspectral remote sensing
Vulnerability of critical infrastructure
GIS analysis
Ground based radar interferometry for bridge monitoring

Teaching

Basics of geographical information systems in the context of modeling and planning
Introduction | Logic and algebra at the DHBW Karlsruhe
Introduction | Knowledge-based system at the DHBW Karlsruhe

Other Profiles

Awards

Best Paper Award at the ISPRS Geospatial Week 2019 in Enschede (NL)

Memberships & Voluntary Activities

Young Professionals' Forum of the Academy for Spatial Research and Planning (ARL), Germany
Verband der Geographen an Deutschen Hochschulen (VDGH)
German Red Cross Bühl-Achern - Civil Protection Rescue Dog Unit

Media

KIT-Video of voluntary activity in the German Red Cross: https://www.youtube.com/watch?v=lrPGfqA-mBE
SWR2 Impuls radio interview about "Artificial Intelligence - Search for drinking water with satellites and AI" with Sina Keller

Projects
Titel
CAOS Subproject B
DeepFlameS - Künstliche Intelligenz für die robuste Flammensegmentierung
KRITIS
TRUST: Sustainable, fair and ecologically compatible drinking water supply in prosperous water-shortage regions
WAQUAVID
ZEBBRA: Event based identification and assessment of bridge conditions based on radar sensors in combination with intelligent algorithms

Publications

2024

Arnold, M.; Keller, S. (2024). Machine Learning and Signal Processing for Bridge Traffic Classification with Radar Displacement Time-Series Data. Infrastructures, 9 (3), Article no: 37. doi:10.3390/infrastructures9030037
Florath, J.; Chanussot, J.; Keller, S. (2024). Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis. ISPRS International Journal of Geo-Information, 13 (4), Art.-Nr. 107. doi:10.3390/ijgi13040107
Florath, J.; Chanussot, J.; Keller, S. (2024). Rapid natural hazard extent estimation from twitter data: investigation for hurricane impact areas. Natural Hazards. doi:10.1007/s11069-024-06488-2
Florath, J.; Chanussot, J.; Keller, S. (2024). Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas. Fire, 7 (1), Art.-Nr.: 6. doi:10.3390/fire7010006
Michel, C.; Keller, S. (2024). Assessing Important Uncertainty Influences of Ground-Based Radar for Bridge Monitoring. IEEE Geoscience and Remote Sensing Letters, 21, Art.-Nr.: 3501005. doi:10.1109/LGRS.2023.3343076

2023

Brecht, P.; Keller, S.; Nievera, M.; Hahn, C.; Pfaff, F.; Albers, A. (2023). Product Digital-Platform-Business Co-Design: A Systematic Sprint Approach. Procedia CIRP, 119, 495 – 500. doi:10.1016/j.procir.2023.03.111
Florath, J.; Chanussot, J.; Keller, S. (2023). Investigation of Volunteered Geographic Information Data for Near-Real-Time Spatial Analysis of Fire Hazards. Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management GISTAM.
Keller, S.; Fidlin, A. (2023). Thermomechanical Investigation of a Friction Oscillator under High-frequency Excitation. 4. VDI-Fachtagung: Schwingungen 2023, Würzburg, 27th -28th November 2023, 171–184, VDI Verlag. doi:10.51202/9783181024294-171
Keller, S.; Fidlin, A. (2023). Friction Reduction in a Revolute Joint by the Use of Axial High-Frequency Excitation. 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. (2023). Konzeption und Einsatz Maschineller Lernverfahren zur Schätzung physikalischer Größen aus heterogenen Daten der Geoinformation. habilitation thesis. Karlsruher Institut für Technologie (KIT).

2022

Florath, J.; Keller, S. (2022). Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area. 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. (2022). Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types. Remote sensing, 14 (4), Article no: 845. doi:10.3390/rs14040845
Keller, S.; Seemann, W. (2022). Thermo-mechanische Betrachtung eines Drehgelenks mit trockener Reibung unter axialer Anregung. I. D-A-CH (Ed.), 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. (2022). Evaluation of Transformers and Convolutional Neural Networks for High-Dimensional Hyperspectral Soil Texture Classification. 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. (2022). Evaluation of self-supervised learning approaches for semantic segmentation of industrial burner flames. 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. (2022). Determining and Investigating the Variability of Bridges’ Natural Frequencies with Ground-Based Radar. Applied Sciences, 12 (11), Artk.Nr.: 5354. doi:10.3390/app12115354

2021

Arnold, M.; Hoyer, M.; Keller, S. (2021). Convolutional Neural Networks for Detecting Bridge Crossing Events with Ground-Based Interferometric Radar Data. 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. (2021). Remote Sensing and Computer Vision Image Analysis: Summary and Recent Trends. 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. (2021). Ratio-based features for data-driven bridge monitoring and damage detection. 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. (2021, April). Ratio-based features for data-driven bridge monitoring and damage detection. 10th Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations (IABMAS 2021), Online, April 11–18, 2021.
Florath, J.; Keller, S.; Staub, G.; Weinmann, M. (2021). Optical Remote Sensing for Glacier Monitoring with Respect to Different Snow and Ice Types: A Case Study for the Southern Patagonian Icefield. 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. (2021). Towards detecting, characterizing and rating of road class errors in crowd-sourced road network databases. Journal of spatial information science, 22, 31. doi:10.5311/JOSIS.2021.22.677
León, C. D.; Brauer, F.; Hügler, M.; Keller, S.; Kosow, H.; Krauss, M.; Wasielewski, S.; Wienhöfer, J. (2021). Integrated Water Management Solutions in the Lurín Catchment, Lima, Peru – Supporting United Nations’ Sustainable Development Goal 6. Final report of the joint project TRUST. Universität Stuttgart. doi:10.18419/opus-11390
Maier, P.; Keller, S.; Hinz, S. (2021). Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies. Remote sensing, 13 (4), 718. doi:10.3390/rs13040718
Michel, C.; Keller, S. (2021). Introducing a non-invasive monitoring approach for bridge infrastructure with ground-based interferometric radar. 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. (2021). Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring. Sensors, 21 (6), 2172. doi:10.3390/s21062172
Sefrin, O.; Riese, F. M.; Keller, S. (2021). Deep Learning for Land Cover Change Detection. Remote sensing, 13 (1), Article no: 78. doi:10.3390/rs13010078
Vogelbacher, M.; Keller, S.; Zehm, W.; Matthes, J. (2021). Advanced Methods for Kiln-Shell Monitoring to Optimize the Waelz Process for Zinc Recycling. Processes, 9 (6), 1062. doi:10.3390/pr9061062

2020

Arnold, M.; Keller, S. (2020). Detection and classification of bridge crossing Events with ground-based interferometric radar data and machine learning approaches. ISPRS annals, V-1-2020, 109–116. doi:10.5194/isprs-annals-V-1-2020-109-2020
Fuchs, S.; Keller, S. (2020). 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. doi:10.5445/DIVA/2020-20
Guth, J.; Wursthorn, S.; Keller, S. (2020). Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS International Journal of Geo-Information, 9 (1), Article No.55. doi:10.3390/ijgi9010055
Keller, S.; Gabriel, R.; Guth, J. (2020). Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data. 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. (2020). Überwachung von Brückeninfrastrukturen : Neuer Ansatz von konventionellen und berührungslosen Sensoren. Brückenbau, (3), 22–29.
Keller, S.; Riese, F. M.; Allroggen, N.; Jackisch, C. (2020, May). HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques. doi:10.5880/fidgeo.2020.015
Kubisch, S.; Guth, J.; Keller, S.; Bull, M. T.; Keller, L.; Braun, A. C. (2020). The contribution of tsunami evacuation analysis to evacuation planning in Chile: Applying a multi-perspective research design. International journal of disaster risk reduction, 45, Article No.101462. doi:10.1016/j.ijdrr.2019.101462
Maier, P. M.; Keller, S. (2020). SpecWa: Spectral remote sensing data and chlorophyll a values of inland waters. doi:10.5880/fidgeo.2020.036
Riese, F. M.; Keller, S. (2020). Supervised, Semi-supervised, and Unsupervised Learning for Hyperspectral Regression. 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. (2020). Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data. Remote sensing, 12 (1), Art. Nr.: 7. doi:10.3390/rs12010007
Riese, F. M.; Schroers, S.; Wienhöfer, J.; Keller, S. (2020, April 9). Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019. doi:10.5445/IR/1000118082
Sefrin, O.; Riese, F. M.; Keller, S. (2020). Code for Deep Learning for Land Cover Change Detection 1.0.1. doi:10.5281/zenodo.4289079
Wagner, P.; Riese, F. M.; Keller, S. (2020). CAOS Sentinel-2 Pipeline in Python. doi:10.5281/zenodo.3879622

2019

Guth, J.; Wursthorn, S.; Braun, A. C.; Keller, S. (2019). 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. Natural hazards, 97 (3), 979–999. doi:10.1007/s11069-019-03672-7
Keller, S. (2019). Fusion hyperspektraler, LWIR- und Bodenradar-Daten mit maschinellen Lernverfahren zur Bodenfeuchteschätzung. 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. (2019). Combining a social science approach and GIS-based simulation to analyse evacuation in natural disasters: A case study in the Chilean community of Talcahuano. 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. (2019). Solutions and planning tools for water supply and wastewater management in prosperous regions tackling water scarcity. 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. (2019). ESTIMATING CHLOROPHYLL A CONCENTRATIONS OF SEVERAL INLAND WATERS WITH HYPERSPECTRAL DATA AND MACHINE LEARNING MODELS. 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. (2019). Application Of Different Simulated Spectral Data And Machine Learning To Estimate The Chlorophyll A Concentration Of Several Inland Waters. Institute of Electrical and Electronics Engineers (IEEE).
Maier, P. M.; Keller, S. (2019). Application Of Different Simulated Spectral Data And Machine Learning To Estimate The Chlorophyll A Concentration Of Several Inland Waters. 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. (2019). Hyperspectral Regression: Code Examples. doi:10.5281/zenodo.3450676
Riese, F. M.; Keller, S. (2019). SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python.
Riese, F. M.; Keller, S. (2019). Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data. 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. (2019). Künstliche Intelligenz in der Umweltforschung.
Sefrin, O.; Riese, F. M.; Keller, S. (2019). Soil Texture Processing. doi:10.5281/zenodo.3431628
Stötzer, J.; Wursthorn, S.; Keller, S. (2019). Fuzzy Estimation of Link Travel Time from a Digital Elevation Model and Road Hierarchy Level. 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

2018

Bradley, P. E.; Keller, S.; Weinmann, M. (2018). Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data. Remote sensing, 10 (10), Art.Nr.: 1564. doi:10.3390/rs10101564
Braun, A.; Stötzer, J.; Kubisch, S.; Keller, S. (2018). 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. 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. (2018). Infrared measurements and estimation of temperature in the restrictive scope of an industrial cement plant. 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. (2018). Influence of surface properties on the dip coating behavior of hollow fiber membranes. 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. (2018). Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity. 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. (2018). Modeling Subsurface Soil Moisture Based on Hyperspectral Data : First Results of a Multilateral Field Campaign. 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. (2018). Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data. 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. (2018). Estimation of Chlorophyll a, Diatoms and Green Algae Based on Hyperspectral Data with Machine Learning Approaches. 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. (2018). Machine learning regression on hyperspectral data to estimate multiple water parameters.
Riese, F. M.; Keller, S. (2018). Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data. 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. (2018, April 24). Hyperspectral benchmark dataset on soil moisture. doi:10.5281/zenodo.1227837
Riese, F. M.; Keller, S. (2018). Fusion of hyperspectral and ground penetrating radar data to estimate soil moisture. 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. (2018). A strain sensor based monitoring and damage detection system for a two-span beam bridge. 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.

2017

Braun, A.; Stötzer, J.; Kubisch, S.; Dittrich, A.; Keller, S. (2017). A Vulnerability Index and Analysis for the Road Network of Rural Chile. 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. (2017). Revisiting Existing Classification Approaches for Building Materials Based on Hyperspectral Data. 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. (2017). Investigation of the Potential of Hyperspectral EnMAP Data for Land Cover and Land Use Classification. 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. (2017). Smarte online und in-situ operierende Multisensorsondensysteme für das moderne Gewässermonitoring. DWA-Landesverbandstagung 2017 Baden-Württemberg, Fellbach, 12.-13.10.2017, 217–230, DWA.
Vogelbacher, M.; Keller, S.; Waibel, P.; Matthes, J.; Keller, H. B. (2017). Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern durch bildbasierte Verfahren. 28. Deutscher Flammentag (2017), Darmstadt, Germany, September 6–7, 2017.
Waibel, P.; Vogelbacher, M.; Matthes, J.; Keller, S.; Keller, H. B. (2017). Neuartige Kenngrößen zur Online-Beschreibung des Sonderabfall-Verbrennungsprozesses im Drehrohr einer Industrieanlage auf Basis von Infrarotaufnahmen. Energie aus Abfall, Band 14. Hrsg.: K. J. Thomé-Kozmiensky, 541–552, TK Verlag Karl Thomé-Kozmiensky.

2016

Keller, S.; Braun, A. C.; Hinz, S.; Weinmann, M. (2016). Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data. 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. (2016). 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. 28. VDI-/ITAD-Konferenz Thermische Abfallbehandlung 2016, Würzburg, 21.-22.September.
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, S.; Keller, H. B. (2016). Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern. Anlagenbezogenes Monitoring : neue Anforderungen - neue Konzepte ; Würzburg, 25. und 26. Oktober 2016, 201–212, VDI Verlag.

2015

Braun, A. C.; Weinmann, M.; Keller, S.; Müller, R.; Reinartz, P.; Hinz, S. (2015). The EnMAP contest: developing and comparing classification approaches for the Environmental Mapping and Analysis Programme - Dataset and first results. 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. (2015). Datenbasierte Analyse und Modellbildung zur Abschätzung spezifischer Gefahren des Klimawandels für Straßen - Methodik und Szenarien. PhD dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000048624

2014

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

2013

Atzl, A.; Keller, S. (2013). A Systemic Approach for the Analysis of Infrastructure-Specific Social Vulnerability. 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.
Keller, S. (2013). Klimabezogene Hotspot-Analyse Kritischer Infrastrukturen in Baden-Württemberg. Deutscher Geographentag Passau 2.-8. Oktober 2013, Fachsitzung 71.

2012

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