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M.Sc. Johannes Löw

Profile Picture: M.Sc. Johannes Löw JL

M.Sc. Johannes Löw Fellow

Research assistant Geoecology

Mail: johannes.loew@geo.uni-halle.de Tel: +49 (0)345 55-26045 Room: H4 1.37 Consultation hours: by arrangement(during the semester break only by appointment)

Focus Areas:

Earth observation, Land Surface Dynamics, Radar, Crop Phenology

Research

  • Remote sensing
  • Radar time series
  • Ecosystem monitoring
  • Land surface dynamics

Biography

  • since 07/2022
    Research assistant at the Chair of Geoecology, University of Halle-Wittenberg
  • 09/2020 – 06/2022
    Research Assistant at the Chair of Remote Sensing, University of Würzburg, seconded to: Chair of Geoecology, University of Halle-Wittenberg
  • 06/2019 – 06/2020
    Research assistant at the Chair of Remote Sensing, University of Würzburg in the project MedWater
  • 04/2019 – 06/2019
    Research Assistant at the Chair of Remote Sensing, University of Würzburg
  • 10/2016 – 03/2019
    Study of Earth Observation and Geoanalysis “EAGLE” (M.Sc.), University of Würzburg
    Master thesis: “Interferometric and polarimetric signatures of agricultural crops using multi-temporal dual-polarimetric Sentinel-1 Imagery: a case study in north-eastern Germany”
  • 11/2017 – 12/2017
    Intern at the WASCAL Competence Centre Ouagadougou, Burkina Faso
  • 12/2016 – 12/2017
    Research assistant at the Chair of Remote Sensing, University of Würzburg
  • 10/2012 – 09/2016
    Study of Geography (B.Sc.) with focus on Human Geography and Remote Sensing, University of Würzburg
    Bachelor thesis: Analysis of soil moisture development in Central Asian irrigation systems using CCI Soil moisture time series
  • 07/2015 – 08/2015
    Intern, Department of Land Surface Dynamics, German Remote Sensing Data Centre (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany

Publications

2355391MDLREVTXPeerReview,JLLöw american-journal-of-plant-sciences50datedesc Löw, J. 12628https://geo.uni-halle.de/wp-content/plugins/zotpress/
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Löw, J., Conrad, C., Hill, S., Thiel, M., Ullmann, T. and Otte, I. (2026) A Novel Approach to Assessing the Tracking Accuracy of Crop Phenology for Multi-Orbit and Multi-Feature Sentinel-1 Time Series. Science of Remote Sensing, 100370. https://doi.org/10.1016/j.srs.2026.100370.
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Löw, J., Hill, S., Otte, I., Friedrich, C., Thiel, M., Ullmann, T. and Conrad, C. (2025) Integrating the Landscape Scale Supports SAR-Based Detection and Assessment of the Phenological Development at the Field Level. Frontiers in Remote Sensing, 6. https://doi.org/10.3389/frsen.2025.1610005.
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Mahmood, T., Löw, J., Pöhlitz, J., Wenzel, J.L. and Conrad, C. (2024) Estimation of 100 m Root Zone Soil Moisture by Downscaling 1 Km Soil Water Index with Machine Learning and Multiple Geodata. Environmental Monitoring and Assessment, 196, 823. https://doi.org/https://doi.org/10.1007/s10661-024-12969-5.
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Löw, J., Hill, S., Otte, I., Thiel, M., Ullmann, T. and Conrad, C. (2024) How Phenology Shapes Crop-Specific Sentinel-1 PolSAR Features and InSAR Coherence across Multiple Years and Orbits. Remote Sensing, 16, 2791. https://doi.org/10.3390/rs16152791.
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Lobert, F., Löw, J., Schwieder, M., Gocht, A., Schlund, M., Hostert, P. and Erasmi, S. (2023) A Deep Learning Approach for Deriving Winter Wheat Phenology from Optical and SAR Time Series at Field Level. Remote Sensing of Environment, 298, 113800. https://doi.org/10.1016/j.rse.2023.113800.
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Löw, J., Ullmann, T. and Conrad, C. (2021) The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany). Remote Sensing, 13, 2951. https://doi.org/10.3390/rs13152951.

 

2355391MDLREVTXConferencePaper,JLLöw american-journal-of-plant-sciences50datedesc1 Löw, J. 12628https://geo.uni-halle.de/wp-content/plugins/zotpress/
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Löw, J., Hill, S., Thiel, M., Ullmann, T. and Conrad, C. (2024) Tracking Crop Phenology across Different Sentinel-1 Orbits by Combining PolSAR Features with Growing Degree Data. Remagen.
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Friedrich, C., Löw, J., Otte, I., Hill, S., Förtsch, S., Schwalb-Willmann, J., Gessner, U., Schierghofer, C., Piernecke, T., Truckenbrodt, S., Schonert, E., Assmann, D., Böttcher, F., Conrad, C. and Thiel, M. (2024) A Multi-Talented Datacube: Integrating, Processing and Presenting Big Geodata for the agricultural End User. Informatik in Der Land-, Forstund Ernährungswirtschaft Fokus: Biodiversität Fördern Durch Digitale Landwirtschaft, Stuttgart-Hohenheim.
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Conrad, C., Schlaak, J., Schmelzer, J. and Löw, J. (2023) Downscaling and Validation of 1km ESA Soil Water Index for Soil Moisture Monitoring on Agricultural Land in Temperate Climate Conditions. EGU, Naples. https://doi.org/https://doi.org/10.5194/egusphere-gc8-hydro-97, 2023.

2355391MDLREVTXLöw 1american-journal-of-plant-sciences50datedesc1 Löw, J. 12628https://geo.uni-halle.de/wp-content/plugins/zotpress/
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Löw, J., Conrad, C., Hill, S., Thiel, M., Ullmann, T. and Otte, I. (2026) A Novel Approach to Assessing the Tracking Accuracy of Crop Phenology for Multi-Orbit and Multi-Feature Sentinel-1 Time Series. Science of Remote Sensing, 100370. https://doi.org/10.1016/j.srs.2026.100370.
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Conrad, C., Teucher, M., Wenzel, J.L., Löw, J. and Pöhlitz, J. (2025, August 29) Verbundprojekt: Einsatz von Fernerkundungstechnologien für die Digitalisierung im Pflanzenbau (AgriSens-DEMMIN4.0) - Teilprojekt 5: Sachbericht zum Verwendungsnachweis. Technische Informationsbibliothek (TIB). https://doi.org/10.34657/23043.
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Löw, J., Hill, S., Otte, I., Friedrich, C., Thiel, M., Ullmann, T. and Conrad, C. (2025) Integrating the Landscape Scale Supports SAR-Based Detection and Assessment of the Phenological Development at the Field Level. Frontiers in Remote Sensing, 6. https://doi.org/10.3389/frsen.2025.1610005.
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Löw, J., Hill, S., Friedrich, C., Otte, I., Ullmann, T. and Conrad, C. (2025, June 23) A Relational Framework for Investigating Phenological Development at Landscape and Field Level via Sentinel-1 Time Series. Vienna.
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Löw, J., Hill, S., Otte, I., Thiel, M., Ullmann, T. and Conrad, C. (2025, May 29) Linking Phenological Development at Landscape And Field Level By Means Of Sentinel-1 Time Series. Prague.
1
Mahmood, T., Löw, J., Pöhlitz, J., Wenzel, J.L. and Conrad, C. (2024) Estimation of 100 m Root Zone Soil Moisture by Downscaling 1 Km Soil Water Index with Machine Learning and Multiple Geodata. Environmental Monitoring and Assessment, 196, 823. https://doi.org/https://doi.org/10.1007/s10661-024-12969-5.
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Löw, J., Hill, S., Otte, I., Thiel, M., Ullmann, T. and Conrad, C. (2024) How Phenology Shapes Crop-Specific Sentinel-1 PolSAR Features and InSAR Coherence across Multiple Years and Orbits. Remote Sensing, 16, 2791. https://doi.org/10.3390/rs16152791.
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Löw, J., Hill, S., Thiel, M., Ullmann, T. and Conrad, C. (2024, June 20) How Does Phenology Shape Crop- And Orbit-Specific InSAR Coherence And PolSAR-Signatures Of Sentinel-1. Manchester, UK.
1
Friedrich, C., Löw, J., Otte, I., Hill, S., Schierghofer, C., Gessner, U., Truckenbrodt, S., Schonert, E., Piernecke, T., Conrad, C. and Thiel, M. (2024, March 21) DataCube Architecture for Integrating, Processing and Presenting Big Geodata to End Users. Berlin.
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Löw, J., Hill, S., Thiel, M., Ullmann, T. and Conrad, C. (2024, March 15) Tracking Crop Phenology across Different Sentinel-1 Orbits by Combining PolSAR Features with Growing Degree Data. Remagen.
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Löw, J., Hill, S., Thiel, M., Ullmann, T. and Conrad, C. (2024) Tracking Crop Phenology across Different Sentinel-1 Orbits by Combining PolSAR Features with Growing Degree Data. Remagen.
1
Friedrich, C., Löw, J., Otte, I., Hill, S., Förtsch, S., Schwalb-Willmann, J., Gessner, U., Schierghofer, C., Piernecke, T., Truckenbrodt, S., Schonert, E., Assmann, D., Böttcher, F., Conrad, C. and Thiel, M. (2024) A Multi-Talented Datacube: Integrating, Processing and Presenting Big Geodata for the agricultural End User. Informatik in Der Land-, Forstund Ernährungswirtschaft Fokus: Biodiversität Fördern Durch Digitale Landwirtschaft, Stuttgart-Hohenheim.
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Friedrich, C., Löw, J., Otte, I., Hill, S., Förtsch, S., Schwalb-Willmann, J., Gessner, U., Schierghofer, C., Piernecke, T., Truckenbrodt, S., Schonert, E., Assmann, D., Böttcher, F., Conrad, C. and Thiel, M. (2024, February 28) A Multi-Talented Datacube: Integrating, Processing and Presenting Big Geodata for the agricultural End User. Stuttgart-Hohenheim.
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Lobert, F., Löw, J., Schwieder, M., Gocht, A., Schlund, M., Hostert, P. and Erasmi, S. (2023) A Deep Learning Approach for Deriving Winter Wheat Phenology from Optical and SAR Time Series at Field Level. Remote Sensing of Environment, 298, 113800. https://doi.org/10.1016/j.rse.2023.113800.
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Wenzel, J.L., Löw, J., Pöhlitz, J. and Conrad, C. (2023, November 17) Neues von Oben - Aktuelle Entwicklungen Satelliten- Und Drohnenbasierter Digitalisierung Im Pflanzenbau. Oral Presentation, Hannover, Germany.
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Lobert, F., Löw, J., Schwieder, M., Gocht, A., Schlund, M., Hosert, P. and Erasmi, S. (2023) Deriving Winter Wheat Phenology From Combined Optical And SAR Time Series With Deep Learning. The 42nd EARSeL Symposium, Bucharest.
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Lepore, D., Conrad, C., Allocca, V., Cusano, D., Löw, J., El-Hokayem, L. and De Vita, P. (2023) Integration of Remotely Sensed and Field Monitoring Data for Characterizing the Hydrological Regime of Soils Covering Karst Aquifers and Assessing Groundwater Recharge. EGU, Naples. https://doi.org/https://doi.org/10.5194/egusphere-gc8-hydro-65, 2023.
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Conrad, C., Schlaak, J., Schmelzer, J. and Löw, J. (2023) Downscaling and Validation of 1km ESA Soil Water Index for Soil Moisture Monitoring on Agricultural Land in Temperate Climate Conditions. EGU, Naples. https://doi.org/https://doi.org/10.5194/egusphere-gc8-hydro-97, 2023.
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Löw, J., Hill, S., Ullmann, T. and Conrad, C. (2022) Assessing the Applicability of Interferometric and Polarimetric Time Series Derived from Sentinel-1 for Tracking Phenological Developments of Crops at the JECAM Site DEMMIN (Germany). Arbeitskreis Fernerkundung, Halle (Saale).
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Löw, J., Hill, S., Ullmann, T. and Conrad, C. (2022) Tracking the Phenological Developments of Crops by a Complementary Set of Interferometric and Polarimetric Time Series Derived from Sentinel-1 at the JECAM Site DEMMIN (Germany). ESA Living Planet Symposium, Bonn.
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Löw, J., Ullmann, T. and Conrad, C. (2021) The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany). Remote Sensing, 13, 2951. https://doi.org/10.3390/rs13152951.
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Nußbaum, P., Somogyvári, M., Bresinsky, L., Löw, J., Schönbrodt-Stitt, S., Sauter, M., Conrad, C. and Engelhardt, I. (2020) Vulnerability Assessment of Karst Aquifers under Mediterranean Climates. other, oral. https://doi.org/10.5194/egusphere-egu2020-5112.
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Schönbrodt-Stitt, S., Conrad, C., Dimov, D., Ergashev, I., Löw, F., Morper-Busch, L., Muminov, S., Ruziev, I., Schorcht, G., Solodky, G., Sorokin, A., Sorokin, D., Stulina, G., Toshpulatov, R., Zaitov, S., Kitapbayev, A. and Unger-Shayesteh, K. (2018) The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin. In: FSBSI “Pryanishnikov Institute of Agrochemistry,” Ed., Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes, Moscow, 351–356.
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Löw, F., Biradar, C., Fliemann, E., Lamers, J.P.A. and Conrad, C. (2017) Assessing Gaps in Irrigated Agricultural Productivity through Satellite Earth Observations—A Case Study of the Fergana Valley, Central Asia. International Journal of Applied Earth Observation and Geoinformation, 59, 118–134. https://doi.org/10.1016/j.jag.2017.02.014.
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Conrad, C., Löw, F. and Lamers, J.P.A. (2017) Mapping and Assessing Crop Diversity in the Irrigated Fergana Valley, Uzbekistan. Applied Geography, 86, 102–117. https://doi.org/10.1016/j.apgeog.2017.06.016.
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Conrad, C., Schönbrodt-Stitt, S., Löw, F., Sorokin, D. and Paeth, H. (2016) Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012. Remote Sensing, 8, 630. https://doi.org/10.3390/rs8080630.
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Conrad, C., Lamers, J.P.A., Ibragimov, N., Löw, F. and Martius, C. (2016) Analysing Irrigated Crop Rotation Patterns in Arid Uzbekistan by the Means of Remote Sensing: A Case Study on Post-Soviet Agricultural Land Use. Journal of Arid Environments, 124, 150–159. https://doi.org/10.1016/j.jaridenv.2015.08.008.
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Conrad, C., Rudloff, M., Abdullaev, I., Thiel, M., Löw, F. and Lamers, J.P.A. (2015) Measuring Rural Settlement Expansion in Uzbekistan Using Remote Sensing to Support Spatial Planning. Applied Geography, 62, 29–43. https://doi.org/10.1016/j.apgeog.2015.03.017.
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Löw, F., Duveiller, G., Conrad, C. and Michel, U. (2015) Impact of Categorical and Spatial Scale on Supervised Crop Classification Using Remote Sensing. Photogrammetrie - Fernerkundung - Geoinformation, 2015, 7–20. https://doi.org/10.1127/pfg/2015/0252.
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Lex, S., Asam, S., Löw, F. and Conrad, C. (2015) Comparison of Two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton. Photogrammetrie - Fernerkundung - Geoinformation, 2015, 55–67. https://doi.org/10.1127/pfg/2015/0250.
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Löw, F., Knöfel, P. and Conrad, C. (2015) Analysis of Uncertainty in Multi-Temporal Object-Based Classification. ISPRS Journal of Photogrammetry and Remote Sensing, 105, 91–106. https://doi.org/10.1016/j.isprsjprs.2015.03.004.
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Löw, F., Fliemann, E., Abdullaev, I., Conrad, C. and Lamers, J.P.A. (2015) Mapping Abandoned Agricultural Land in Kyzyl-Orda, Kazakhstan Using Satellite Remote Sensing. Applied Geography, 62, 377–390. https://doi.org/10.1016/j.apgeog.2015.05.009.
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Löw, F., Conrad, C. and Michel, U. (2015) Decision Fusion and Non-Parametric Classifiers for Land Use Mapping Using Multi-Temporal RapidEye Data. ISPRS Journal of Photogrammetry and Remote Sensing, 108, 191–204. https://doi.org/10.1016/j.isprsjprs.2015.07.001.
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Conrad, C., Rudloff, M., Abdullaev, I., Thiel, M., Löw, F. and Lamers, J.P.A. (2015) Measuring Rural Settlement Expansion in Uzbekistan Using Remote Sensing to Support Spatial Planning. Applied Geography, 62, 29–43. https://doi.org/10.1016/j.apgeog.2015.03.017.
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Zoungrana, B.J.-B., Conrad, C., Amekudzi, L.K., Thiel, M., Da, E.D., Forkuor, G. and Löw, F. (2015) Multi-Temporal Landsat Images and Ancillary Data for Land Use/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa. Remote Sensing, 7, 12076–12102. https://doi.org/10.3390/rs70912076.
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Conrad, C., Dech, S.W., Dubovyk, O., Fritsch, S., Klein, D., Löw, F., Schorcht, G. and Zeidler, J. (2014) Derivation of Temporal Windows for Accurate Crop Discrimination in Heterogeneous Croplands of Uzbekistan Using Multitemporal RapidEye Images. Computers and Electronics in Agriculture, 103, 63–74. https://doi.org/10.1016/j.compag.2014.02.003.
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Löw, F., Michel, U., Dech, S.W. and Conrad, C. (2013) Impact of Feature Selection on the Accuracy and Spatial Uncertainty of Per-Field Crop Classification Using Support Vector Machines. ISPRS Journal of Photogrammetry and Remote Sensing, 85, 102–119. https://doi.org/10.1016/j.isprsjprs.2013.08.007.

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Wenzel, J.L., Löw, J., Pöhlitz, J. and Conrad, C. (2023, November 17) Neues von Oben - Aktuelle Entwicklungen Satelliten- Und Drohnenbasierter Digitalisierung Im Pflanzenbau. Oral Presentation, Hannover, Germany.

Supervised Theses

23553912XDMJIQCbachelorLöw 1annals-of-hematology50datedesc 12628https://geo.uni-halle.de/wp-content/plugins/zotpress/
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