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Startseite – Unser Team

MSc. Johannes Löw
Schwerpunkte
  • Ökosystemmonitoring
  • Zeitserienanalysen
  • Fernerkundung
  • Landbedeckungs- und Landnutzungsklassifikationen
Wissenschaftlicher Werdegang
  • seit 07/2022
    Wissenschaftlicher Mitarbeiter am Lehrstuhl für Geoökologie, Universität Halle-Wittenberg
  • 09/2020 – 06/2022
    Wissenschaftlicher Mitarbeiter am Lehrstuhl für Fernerkundung Universität Würzburg, abgeordnet an: Lehrstuhl für Geoökologie, Universität Halle-Wittenberg
  • 06/2019 – 06/2020
    Wissenschaftlicher Mitarbeiter am Lehrstuhl für Fernerkundung, Universität Würzburg im Projekt MedWater
  • 04/2019 – 06/2019
    Wissenschaftliche Hilfskraft am Lehrstuhl für Fernerkundung, Universität Würzburg
  • 10/2016 – 03/2019
    Studium der Erdbeobachtung und Geoanalyse „EAGLE“ (M.Sc.), Universität Würzburg
    Masterarbeit: “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
    Praktikant am WASCAL Competence Center Ouagadougou, Burkina Faso
  • 12/2016 – 12/2017
    Wissenschaftliche Hilfskraft am Lehrstuhl für Fernerkundung, Universität Würzburg
  • 10/2012 – 09/2016
    Studium der Geographie (B.Sc.) mit Schwerpunkt auf Humangeographie und Fernerkundung, Universität Würzburg
    Bachelorarbeit: Analyse der Bodenfeuchteentwicklung in zentralasiatischen Bewässerungssystemen anhand von CCI Soil moisture-Zeitserien
  • 07/2015 – 08/2015
    Praktikant, Abteilung für Dynamik der Landoberfläche, Deutsches Fernerkundungsdatenzentrum (DFD), Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Deutschland
Aktuelles Projekt

Publikationen

2355391 MDLREVTX PeerReview Löw 1 american-journal-of-plant-sciences 50 date desc Löw, J. 3446 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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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.
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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.
1
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.
1
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.
1
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.
1
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.
1
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.
1
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.
1
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.
1
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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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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Conrad, C., Fritsch, S., Lex, S., Löw, F., Rücker, G.R., Schorcht, G., Sultanov, M. and Lamers, J.P.A. (2012) Potenziale Des Red Edge Kanals von RapidEye Zur Unterscheidung Und Zum Monitoring Landwirtschaftlicher Anbaufrüchte Am Beispiel Des Usbekischen Bewässerungssystems Khorezm. In: Borg, E. and Daedolow, H., Eds., From the Basics to the Service: Erste Ergebnisse 4. RESA Workshop, GITO-Verl., Berlin.
2355391 MDLREVTX ConferencePaper Löw 1 american-journal-of-plant-sciences 50 date desc 1 Löw, J. 3446 https://geooeko.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: 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.
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Löw, F., Schorcht, G., Michel, U., Dech, S. and Conrad, C. (2012) Per-Field Crop Classification in Irrigated Agricultural Regions in Middle Asia Using Random Forest and Support Vector Machine Ensemble. In: Michel, U., Civco, D.L., Ehlers, M., Schulz, K., Nikolakopoulos, K.G., Habib, S., Messinger, D. and Maltese, A., Eds., Edinburgh, United Kingdom, 85380R. https://doi.org/10.1117/12.974588.
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Conrad, C., Löw, F., Rudloff, M. and Schorcht, G. (2012) Assessing Irrigated Cropland Dynamics in Central Asia between 2001 and 2010 Based on MODIS Time Series. https://www.researchgate.net/publication/259896412_Assessing_irrigated_cropland_dynamics_in_central_Asia_between_2001_and_2010_based_on_MODIS_time_series.
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Schorcht, G., Löw, F., Fritsch, S. and Conrad, C. (2012) Crop Classification at Subfield Level Using RapidEye Time Series and Graph Theory Algorithms. In: Neale, C.M.U. and Maltese, A., Eds., Edinburgh, United Kingdom, 85311G. https://doi.org/10.1117/12.974670.
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Löw, F., Michel, U., Dech, S. and Conrad, C. (2011) Development of a Satellite-Based Multi-Scale Land Use Classification System for Land and Water Management in Uzbekistan and Kazakhstan. In: Michel, U. and Civco, D.L., Eds., Prague, Czech Republic, 81811K. https://doi.org/10.1117/12.898038.
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Conrad, C., Machwitz, M., Schorcht, G., Löw, F., Fritsch, S. and Dech, S. (2011) Potentials of RapidEye Time Series for Improved Classification of Crop Rotations in Heterogeneous Agricultural Landscapes: Experiences from Irrigation Systems in Central Asia. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, SPIE, 340–348. https://doi.org/10.1117/12.898345.
2355391 MDLREVTX Presentation Löw 1 american-journal-of-plant-sciences 50 date desc 1 Löw, J. 3446 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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1
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.
1
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.
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, 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., 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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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.
2355391 MDLREVTX Others Löw 1 american-journal-of-plant-sciences 50 date desc 1 Löw, J. 3446 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
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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.
MSc. Johannes Löw
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