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Prof. Dr. Sören Hese



Room H057

Office hours

to be announced / wird noch bekannt gegeben

Short CV

Since 10.2020: interim Professorship Remote Sensing and Geoinformatics, Institute of Geographical Sciences, Freie Universität Berlin

2020: interim Professorship "Geofernerkundung und Kartographie", Martin-Luther-University Halle-Wittenberg

2016: Jenacopterlabs.de group founded at Friedrich-Schiller-University Jena

2013: Winner of the intern. 2012 GRSS Data Fusion Contest (DFTC & IEEE Geoscience and Remote Sensing Society)

2011: Habilitation PD Dr. rer. nat. habil. (Venia Legendi) for „Geoinformatics“ by Friedrich-Schiller-University Jena

2010: Appointment W2 Professorship „Geoinformationssysteme und Fernerkundung“ der HNE Eberswalde (FH)

2006 – 2020: Department for Earth Observation, Institute of Geography, Friedrich-Schiller-University Jena, Akademischer Rat

2004 – 2006: “Wissenschaftlicher Assistent” (C1), Department for Geoinformatics, Remote Sensing and Modelling, Friedrich-Schiller-University Jena

2002 – 2004: Postdoctoral Researcher, EU Project Coordinator at Friedrich-Schiller-University Jena, SIBERIA-II („Multisensor Concepts for Full Greenhouse Gas Accounting in Eurasia“)

1997 – 2001: Research Assistant HRSC-Group („Wissenschaftlicher Mitarbeiter“ at the Institute for Planetary Exploration, German Aerospace Center, Berlin-Adlershof

1996 - 2001: PhD TU Berlin „Entwicklung und Anwendung geostatistischer Verfahren zur strukturellen Klassifikation von Forstbeständen in sehr hochauflösenden Daten der HRSC-A“ (Advisors: Kenneweg, Albertz, Ehlers). Research Assistant HRSC-Group DLR - German Aerospace Center, Berlin-Adlershof. Institute for Planetary Exploration (Advisors: Neukum/Jaumann/Lehmann).

Please refer to the university course catalog.

Research interest and expertise:

  • Land surface parameter retrieval using satellite, airborne and UAV systems and sensors, spectral and spatial very high resolution remote sensing
  • Machine learning algorithms in Earth observation with focus on morphometric 3D point cloud analysis, forest damage analysis, thermal urban hot spot remote sensing and urban structure type analysis and research
  • Forest ecosystem research, Sentinel-2 time series analysis, OBIA and 3D point cloud analysis using shape, curvature and voxel descriptions
  • UAV data capturing/RTK flight campaign planning

Project coordination and project proposals

  • Beech Decline – Hainich National Park Beech Tree Mortality Mapping with CIR airborne and UAV data (Hese 2020)
  • HAINICH-Project – Deciduous Tree Crown Tomography – UAV based multi seasonal tree crown tomography in the Hainich national park. In cooperation with the national park administration and DLR Jena (Institute for Data Science) (Hese, Thiel & Henkel 2019)
  • SENSORS: Sensornetworks for Environmental Monitoring, “Richtlinienantrag an den Freistaat Thüringen zur Förderung der Forschung“, FSU Jena 2019, (submitted in 2018 and resubmitted in 2019 on invitation)
  • „Perspektiven: Nutzung intelligenter Systeme sowie digitaler Methoden“, Carl-Zeiss-Foundation „Digitalisierung – Grundlagen erforschen, Anwendungen nutzen“ - Analysis of sensor data and simulation of natural processes: cooperate tools of digital natural science, (submitted in 2019 – in evaluation)
  • KULUNDA (Agrarische In-Wertsetzung der südrussisch-kasachischen Steppengebiete - Ökologische sowie sozioökonomische Folgen und Perspektiven einer nachhaltigen Landnutzung), 2011-2014 (BMBF) (1 PhD)
  • TERRASENSE Project: Sensor network project (200k Euro) for multispectral UAV based sensors and TLS systems (2012-2015 and ongoing)
  • Post-Graduate Programme "Image Analysis, Interpretation and Recognition" - co-funded by the Thuringian "ProExzellenz" Initiative in cooperation with TU Ilmenau and Fraunhofer IOF Jena (2009-2011). Mapping of European urban landuse structure in multisensor high resolution Earth observation data (1 PhD).
  • Earth Science Spectrometer Lab Jena Project (FSU Jena) since 2008 (FieldSpec3 based spectrometer based spectral library)
  • SLEUTH - urban growth modelling with the cellular growth modelling using SLEUTH in Brasilia (in cooperation with UFZ Leipzig/Dr. Ellen Banzhaf) 2009-2010
  • RESA Project (Rapideye Science Archive) DLR as part of the DUE Permafrost 2009-2011 (in cooperation with AWI Potsdam), data proposal to DLR /RESA/ Blackridge cooperation
  • ESA Permafrost DUE panarctic vegetation and thermokarst lake change mapping with VHR data (2009-2011), in cooperation with AWI Potsdam , IPF University Wien, GAMMA Remote Sensing (Switzerland) and University of Waterloo (Canada) - financed by ESA (2009–2012) (2 PhD)
  • Bark Beetle Forest Damage Mapping with HyMap HyEurope2008 Data (in Cooperation with "Thüringer Ministerium fürandwirtschaft, Naturschutz und Umwel " as part of the airborne HyMAP HyEurope 2008 campaign, (2008-2010)
  • ENVILAND-2 2008-2012: Synergistic usage of SAR and optical data, in cooperation with University Bonn, Jena Optronik, TU Ilmenau et al. (2008-2012) (4 PhDs)
  • NORTH FP7 proposal and team building 2005, (proposal rejected)
  • SIBESSC (Siberia - Earth System Science Cluster) FSU-Jena (since 2005 and ongoing), GDI based Earth system modelling with Earth observation products) (1 PhD), financed by FSU Jena – ongoing GDI development
  • BMBF Proposal “Challenges of Permafrost Degradation of Siberian Soils to Science and Technology” - the Earth observation perspective. Core-to-Core Projekt with Japan (BMBF)
  • OSCAR: Oilspill Contamination Mapping in Russia using Rapideye and Quickbird data – pilot study in 2008-2009 (BMBF)
  • AGRISAR (International Radar flight campaign, test area Demmin, Mecklenburg-Vorpommern) DLR / ESA financed Sentinel data simulation (finished)
  • Carbon-3D: satellite/sensor mission proposal in cooperation with NASA, Jena Optronics and the VCL team at NASA (2002-2004) – mission proposal was rejected in favor of ENMAP! Finished with publication writing in 2005
  • SIBERIA-II: Project Coordinator: intern. EU-Project SIBERIA-II („Multisensor Concepts for Full Greenhouse Gas Accounting in Eurasia“) (FP-5) - 14 international partners (2002-2004)

Research Gate


Selected Publications

Hese S., Kurepina N., Walde I., Tsimbalei Y.M., Plutalova T.G., 2020. Earth Observation and Map-Based Land-Use Change Analysis in the Kulunda Steppe Since the 1950s. In: Frühauf M., Guggenberger G., Meinel T., Theesfeld I., Lentz S. (eds) KULUNDA: Climate Smart Agriculture. Innovations in Landscape Research. Springer, Cham. https://doi.org/10.1007/978-3-030-15927-6_9

Hese, S., Thiel, C., Henkel, A., 2019. UAV based Multi Seasonal Deciduous Tree Species Analysis in the Hainich National Park Using Multi Temporal and Point Cloud Curvature Features, UAV-g Enschede.

Berger, C., Voltersen, M., Schmullius, S., Hese, S., 2018. Robust Mapping of Urban Structure Types Across Three German Cities, IGARSS2018, IEEE International Geoscience and Remote Sensing Symposium DOI: 10.1109/IGARSS.2018.8518597.

Hese, S. & Behrendt, F. 2017. Multiseasonal Tree Crown Structure Mapping with Point Clouds from OTS Quadrtocopter Systems, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W6, 141-143, htps://doi.org/10.5194/isprs-archives-XLII-2-W6-141-2017.

Berger, C., Rosentreter, J., Voltersen, M., Baumgart, C., Schmullius, C., Hese, S. 2017. Spatio-temporal analysis of the relationship between 2D/3D urban site characteristics and land surface temperature. Remote Sensing of Environment, 1-38 – 2017.

Hese, S., Heyer, T., 2016. Earth Observation data based rapid flood-extent modelling for tsunami-devastated coastal areas, International Journal of Applied Earth Observation and Geoinformation 46 (2016) 63-83.

Urban, M., Voltersen, M., Poecking, S., Hese, S., Herold, M. & Schmullius, C., 2016. Multi-Scale Vegetation and Water Body Mapping of the Northern Latitudes in Siberia with Optical Remote Sensing. In: Mueller, L. Sheudshen, A.K. & Eulenstein, F. (Eds), Novel Methods for Monitoring and Managing Land and Water Resources in Siberia. Springer Water, DOI: 10.1007/978-3-319-24409-9_19.

Berger, C., Riedel, F., Rosentreter, J., Stein, E., Hese, S., Schmullius, S., 2015. Fusion of Airborne Hyperspectral and LIDAR Remote Sensing Data to Study the Thermal Characteristics of Urban Environments, in: Computational Approaches for Urban Environments, Vol. 13, Series: Geotechnologies and the Environment, pp273-292.

Walde, I., Hese, S., Berger, C., Schmullius, C., 2014. From Land Cover-Graphs to Urban Structure Types. – International Journal of Geographical Information Science, 28 (3), pp. 584-609, DOI: 10.1080/13658816.2013.865189.

Voltersen, M., Berger, C., Hese, S. & Schmullius, C., 2014. Object-based land cover mapping and comprehensive feature calculation for an automated derivation of urban structure types at block level. Remote Sensing of Environment, 154, 192-201.

Berger, C., Voltersen, M., Eckardt, R., Eberle, J., Heyer, T., Salepci, N., Hese, S., Schmullius, C., Tao, J., Auer, S., Bamler, R., Ewald, K., Gartley, M., Jacobson, J., Buswell, A., Du, Q. & Pacifici, F. 2013. Multi-modal and multi-temporal data fusion: Outcome of the 2012 GRSS Data Fusion Contest. IEEE Selected Topic of Applied Earth Observation Remote Sensing 6(3): 1324-1340.

Fröhlich, B., E., Bach, I., Walde, S., Hese, C., Schmullius & J., Denzler, 2013. Land cover classification of satellite images using contextual information . ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W1, 1-6, doi:10.5194/isprsannals-II-3-W1-1-2013.

Urban, M., M., Forkel, C., Schmullius, S., Hese, C., Hüttich & M., Herold, 2013. Identification of Land Surface Temperature and Albedo Trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia. – International Journal of Remote Sensing, 34, 12, 4491-4507.

Walde, I., S. Hese, C. Berger & C. Schmullius, 2013. Graph based Mapping of Urban Structure Types from High Resolution Satellite Image Objects - A case study of the German cities Rostock and Erfurt . IEEE Geoscience and Remote Sensing Letters 10 (4), pp. 932–936, doi: 10.1109/LGRS.2013.2252323.

Berger, C., Voltersen, M., Hese, S., Walde, I., Schmullius, C. 2013. Robust Extraction of Urban Land Cover Information from HSR Multi-Spectral and LiDAR Data , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (6), pp. 1–16, doi: 10.1109/ JSTARS. 2013.2252329.

Walde, I., S., Hese, C., Berger & C., Schmullius, 2012. Graph-based Urban Land Use Mapping from High Resolution Satellite Images. – Proceedings of XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), Ann. Photogramm. Remote Sens. Spatial Inf. Sci. Vol. I-4, Melbourne, AUS, 119-124. (doi:10.5194/isprsannals-I-4-119-2012).