Department für Geographie
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Meine Publikationen

Dr.  Christoph Jörges

Dr. Christoph Jörges

Wissenschaftler/in

Letzte Aktualisierung: 04.03.2024 16:37 Uhr

 

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Jörges, C., et al. (2024): Learning from hyperspectral remote sensing data for machine learning algorithms in earth science - A case study to detect plastic-covered greenhouses and plastic-mulched farmlands , In: Biodiversität fördern durch digitale Landwirtschaft. C. Hoffmann et al.; Lecture Notes in Informatics (LNI); Gesellschaft für Informatik , 305-310 , Bonn, Germany , Article in Book, published.

Jörges, C.; d’Hondt, J. E.; Chatzigeorgakidis, G.; Migdall, S.; Miesgang, C.; Karg, S.; Bach, H.; Betchavas, P. & Skoutas, D. (2023): Leaf Area Index Time Series Imputation For Early Yield Prediction , Big Data From Space 2023 Proceedings, Wien, Österreich , Proceeding, published.

Jörges, C.; Vidal, H. S.; Hank, T. & Bach, H. (2023): Detection of Solar Photovoltaic Power Plants Using Satellite and Airborne Hyperspectral Imaging , Remote Sensing, DOI: 10.3390/rs15133403 , Reviewed, published.

Stumpe, B.; Bechtel, B.; Heil, J.; Jörges, C.; Jostmeier,A.; Kalks, F.; Schwarz, K. & Marschner, B. (2023): Soil texture mediates the surface cooling effect of urban and periurban green spaces during a drought period in the city area of Hamburg (Germany) , Science of the Total Environment, DOI: 10.1016/j.scitotenv.2023.165228 , Reviewed, published.

Jörges, C. (2023): Learning from the hyperspectral - Machine learning for land use classification on fields using Earth Observation data , CODE Jahrestagung, oral presentation , Munich, Germany , Abstract, published.

Jörges, C. (2023): Neural networks for spatial and temporal ocean wave height prediction considering coastal morphodynamics in the East Frisian North Sea , Dissertation, DOI: 10.25926/BUW/0-85 , Wuppertal, Germany , Book, published.

Jörges, C.; Berkenbrink, C.; Gottschalk, H. & Stumpe, B. (2023): Spatial ocean wave height prediction with CNN mixed-data deep neural networks using random field simulated bathymetry , Ocean Engineering, DOI: 10.1016/j.oceaneng.2023.113699 , Reviewed, published.

Heil, J.; Jörges, C. & Stumpe, B. (2022): Fine-Scale Mapping of Soil Organic Matter in Agricultural Soils Using UAVs and Machine Learning , Remote Sensing, DOI: 10.3390/rs14143349 , Reviewed, published.

Jörges, C. & Stumpe, B. (2022): Storm surge early warning with machine learning methods including dynamic bathymetries in the East Frisian North Sea , IGU 2022, oral presentation , Paris, France , Abstract, published.

Jörges, C. & Stumpe, B. (2022): Regional nearshore wave height prediction using a mixed-data CNN-LSTM neural network and dynamic bathymetric maps for the East Frisian North Sea , EGU General Assembly 2022, DOI: 10.5194/egusphere- egu22-5151, oral presentation , Vienna, Austria , Abstract, published.

Heil, J.; Jörges, C. & Stumpe, B. (2022): Evaluation of using digital photography as a cost-effective tool for the rapid assessment of soil organic carbon at a regional scale , Soil Security, DOI: 10.1016/j.soisec.2021.100023 , Reviewed, published.

Jörges, C.; Berkenbrink, C. & Stumpe, B. (2021): Prediction and reconstruction of ocean wave heights based on bathymetric data using LSTM neural networks , Ocean Engineering, DOI: 10.1016/j.oceaneng.2021.109046 , Reviewed, published.

Jörges, C.; Berkenbrink, C.; Heil, J. & Stumpe, B. (2021): Quantification of morphodynamic variability and sea state damping of plates at the nearshore area in the East Frisian North Sea , Coastal Engineering, DOI: 10.1016/j.coastaleng.2020.103779 , Reviewed, published.

Jörges, C. & Hoogen, A. (2020): Digitales Kartieren mit GIS. In: Digitale Kartographie , Geographie heute (350) , Friedrich Verlag, Hannover, Germany , Reviewed, published.

Jörges, C.; Berkenbrink, C. & Stumpe, B. (2020): Wave data prediction and reconstruction by recurrent neural networks at the nearshore area of Norderney , EGU General Assembly 2020, DOI: 10.5194/egusphere-egu2020-19772, online presentation , Vienna, Austria , Abstract, published.

Jörges, C. & Stumpe, B. (2019): Drohnen im Geographieunterricht - Das digitale Mensch-Umwelt Schülerlabor GeoIT , 15. LeLa-Jahrestagung, oral presentation , Dresden, Germany , Abstract, published.

Jörges, C. & Stumpe, B. (2019): Drohnen im Geographieunterricht - Die Chancen des Schülerlaborkonzeptes am Beispiel des GeoIT , Deutscher Kongress für Geographie 2019, oral presentation , Kiel, Germany , Abstract, published.

Jörges, C. & Stumpe, B. (2019): Räumliche und zeitliche Rekonstruktionen von Seegangsdaten durch künstliche neuronale Netze , Deutscher Kongress für Geographie 2019, oral presentation , Kiel, Germany , Abstract, published.

Jörges, C., Berkenbrink, C. & Stumpe, B. (2018): Statistical analysis of sea state data to identify climate trends and morphodynamic variability in the nearshore area of the East Frisian North Sea , EGU General Assembly 2018, Bibcode: 2018EGUGA..20.1160J, poster presentation , Vienna, Austria , Abstract, published.

Jörges, C., Berkenbrink, C., Wurpts, A. & Stumpe, B. (2016): Statistische Analyse von Seegangsdaten zur Identifizierung von Klimatrends an der ostfriesischen Nordseeküste , Deutscher Kongress für Geographie 2016, poster presentation , Tübingen, Germany , Abstract, published.

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