Artikel

Arnold, M.; Keller, S. (2024). Machine Learning Approaches for Vehicle Counting on Bridges Based on Global Ground-Based Radar Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2-2024. doi:10.5194/isprs-annals-X-2-2024-1-2024  

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  

Benz, S. A.; Irvine, D. J.; Rau, G. C.; Bayer, P.; Menberg, K.; Blum, P.; Jamieson, R. C.; Griebler, C.; Kurylyk, B. L. (2024). Global groundwater warming due to climate change. Nature Geoscience, 17, 545–551. doi:10.1038/s41561-024-01453-x  

Calbó, J.; González, J.-A.; Jahani, B.; Sola, Y.; Morales, J. R. de. (2024). How important is the transition zone between clouds and aerosol?. Radiation Processes in the Atmosphere and Ocean, Art.-Nr.: 070005, AIP Publishing. doi:10.1063/5.0182769 

Chen, K.; Dong, B.; Wang, Z.; Cheng, P.; Yan, M.; Sun, X.; Weinmann, M.; Weinmann, M. (2024). PriNeRF: Prior constrained Neural Radiance Field for robust novel view synthesis of urban scenes with fewer views. ISPRS Journal of Photogrammetry and Remote Sensing, 215, 383 – 399. doi:10.1016/j.isprsjprs.2024.07.015 

Desboeufs, K.; Formenti, P.; Torres-Sánchez, R.; Schepanski, K.; Chaboureau, J.-P.; Andersen, H.; Cermak, J.; Feuerstein, S.; Laurent, B.; Klopper, D.; Namwoonde, A.; Cazaunau, M.; Chevaillier, S.; Feron, A.; Mirande-Bret, C.; Triquet, S.; Piketh, S. J. (2024). Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?. Atmospheric Chemistry and Physics, 24 (2), 1525 – 1541. doi:10.5194/acp-24-1525-2024  

Dietel, B.; Andersen, H.; Cermak, J.; Stier, P.; Hoose, C. (2024, Mai 6). Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters. doi:10.35097/VEbaqHtbXdEzreqO 

Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J. (2024). New feature based on influence lines for anomaly detection in bridge monitoring. Bridge Maintenance, Safety, Management, Digitalization and Sustainability, 12th Bridge Maintenance, Safety, Management, Digitalization and Sustainability (IABMAS 2024), Kopenhagen, Dänemark, 24.06.2024–28.06.2024, Artkl.Nr.: 4140, CRC Press. 

Dörr, N.; Schenk, A.; Hinz, S. (2024). Land Subsidence in the Mekong Delta Derived From Advanced Persistent Scatterer Interferometry With an Infrastructural Reference Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 12077–12091. doi:10.1109/JSTARS.2024.3420130  

Dörr, N.; Schenk, A.; Hinz, S. (2024, Juni 28). Vertical surface displacement time series in the Vietnamese Mekong Delta derived from Advanced Sentinel-1 Persistent Scatterer Interferometry. doi:10.35097/YYpQiWnfZaqMVybS 

Evers, M.; Vorwagner, A.; Thiele, A. (2024). Deformation of the Schottwien Bridge in Austria Observed with the European Ground Motion Service. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Athen, 7th-12th July 2024, 11119 – 11122, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS53475.2024.10641686 

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  

Glocke, P.; Holst, C. C.; Khan, B. A.; Benz, S. A. (2024). Impact of Subsurface Thermal Anomalies on Air Temperatures in Idealized Scenarios Using PALM-4U. EGU General Assembly 2024, Copernicus. doi:10.5194/egusphere-egu24-3967  

Glocke, P.; Holst, C. C.; Khan, B. A.; Benz, S. A. (2024). Assessing Soil and Potential Air Temperature Coupling Using PALM-4U: Implications for Idealized Scenarios. Copernicus. doi:10.5194/egusphere-2024-1234 

Grieger, J.; Kunz, T.; Buschow, S.; Daniell, J.; Lucio Eceiza, E. E.; Fauer, F. S.; Feldmann, H.; Friederichs, P.; Guan, X.; Kaspar, F.; Knauf, J.; Kreienkamp, F.; Kunz, M.; Lorenz, P.; Merz, B.; Merz, R.; Mohr, S.; Niermann, D.; Pinto, J. G.; Rakovec, O.; Samaniego, L.; Sauerbrei, R.; Schäfer, A.; Schröter, J.; Szemkus, S.; Tivig, M.; Ulbrich, U.; Vorogushyn, S. (2024). Dauerniederschläge und Weihnachtshochwasser im Winter 2023/24. Freie Universität Berlin. doi:10.17169/refubium-43523  

Hermann, M.; Weinmann, M.; Nex, F.; Stathopoulou, E. K.; Remondino, F.; Jutzi, B.; Ruf, B. (2024). Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset. ISPRS Open Journal of Photogrammetry and Remote Sensing, 13, Art.-Nr.: 100065. doi:10.1016/j.ophoto.2024.100065  

Hillemann, M.; Langendörfer, R.; Heiken, M.; Mehltretter, M.; Schenk, A.; Weinmann, M.; Hinz, S.; Heipke, C.; Ulrich, M. (2024). Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-2024, 137–144. doi:10.5194/isprs-archives-XLVIII-2-2024-137-2024  

Jäger, M.; Kapler, T.; Feßenbecker, M.; Birkelbach, F.; Hillemann, M.; Jutzi, B. (2024). HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2. doi:10.48550/arXiv.2405.02005  

Jäger, M.; Kapler, T.; Feßenbecker, M.; Birkelbach, F.; Hillemann, M.; Jutzi, B. (2024). HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-2024, 159 – 166. doi:10.5194/isprs-archives-XLVIII-2-2024-159-2024  

Krüger, S.; Wursthorn, K.; Jäger, M. A.; Rabold, J.; Mayer, M. (2024). Nachwuchs-Forum "Bildung für Nachhaltige Entwicklung". Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, 72 (1), 50–54. 

Krüger, S.; Wursthorn, K.; Jäger, M. A.; Rabold, J.; Mayer, M. (2024). Nachwuchs-Forum "Gemeinsam Gestalten". Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, 72 (2), 68–71. 

Landgraf, S.; Hillemann, M.; Kapler, T.; Ulrich, M. (2024). Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation. arxiv. doi:10.48550/arXiv.2402.10580  

Landgraf, S.; Hillemann, M.; Wursthorn, K.; Ulrich, M. (2024). Uncertainty-aware Cross-Entropy for Semantic Segmentation. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2-2024, 129–136. doi:10.5194/isprs-annals-X-2-2024-129-2024  

Landgraf, S.; Wursthorn, K.; Hillemann, M.; Ulrich, M. (2024). DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. doi:10.1007/s41064-024-00280-4  

Lin, D.; Zhang, J.; Khan, B.; Katurji, M.; Revell, L. E. (2024). GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system. Geoscientific Model Development, 17 (2), 815 – 845. doi:10.5194/gmd-17-815-2024  

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 

Mohr, S.; Daniell, J. E.; Ehret, U.; Küpfer, K.; Ludwig, P.; Mühr, B.; Rosenberg, S.; Schäfer, A. M.; Wilhelm, J.; Kunz, M. (2024). CEDIM Forensic Disaster Analysis Group (FDA): Außergewöhnliche Niederschläge und Hochwasser in Süddeutschland im Juni 2024. doi:10.5445/IR/1000171441  

Niederhuber, T.; Müller, B.; Röckel, T.; Kalabegishvili, M.; Tsereteli, N.; Aberle, B.; Rebmeister, M.; Schenk, A.; Weisgerber, J.; Westerhaus, M.; Rietbrock, A.; Schilling, F. (2024). Integrales Monitoringkonzept an der Enguri Bogenstaumauer. Messtechnische Überwachung von Stauanlagen ; XIII. Mittweidaer Talsperrentag, 47–51, Hochschule Mittweida. doi:10.48446/opus-15213 

Obrecht, L.; Göttsche, F.-M.; Senn, J. A.; Cermak, J. (2024). Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data. Remote Sensing, 16 (1), Art.-Nr.: 159. doi:10.3390/rs16010159  

Pauli, E.; Cermak, J.; Andersen, H.; Fuchs, J. (2024). An analysis of fog and low stratus life‐cycle regimes over central Europe. Quarterly Journal of the Royal Meteorological Society, 1–15. doi:10.1002/qj.4714  

Petrovska, I.; Jutzi, B. (2024). Vision through Obstacles—3D Geometric Reconstruction and Evaluation of Neural Radiance Fields (NeRFs). Remote Sensing, 16 (7), Art.-Nr.: 1188. doi:10.3390/rs16071188  

Schäfer, A. M.; Daniell, J. E.; Skapski, J.-U.; Mohr, S.; Kunz, M. (2024). CEDIM Forensic Disaster Analysis Group (FDA): Noto Earthquake Japan (Jan. 2024). doi:10.5445/IR/1000166937  

Ulrich, M.; Hillemann, M. (2024). Uncertainty-Aware Hand–Eye Calibration. IEEE Transactions on Robotics, 40, 573–591. doi:10.1109/TRO.2023.3330609  

Ulrich, M.; Steger, C.; Butsch, F.; Liebe, M. (2024). Vision-guided robot calibration using photogrammetric methods. ISPRS Journal of Photogrammetry and Remote Sensing, 218 (Part A), 645–662. doi:10.1016/j.isprsjprs.2024.09.037  

Wilson Kemsley, S.; Ceppi, P.; Andersen, H.; Cermak, J.; Stier, P.; Nowack, P. (2024). A systematic evaluation of high-cloud controlling factors. Atmospheric Chemistry and Physics, 24 (14), 8295–8316. doi:10.5194/acp-24-8295-2024  

Wilson Kemsley, S.; Ceppi, P.; Andersen, H.; Cermak, J.; Stier, P.; Nowack, P. (2024). A systematic evaluation of high-cloud controlling factors. Copernicus. doi:10.5194/egusphere-2024-226  

Wursthorn, K.; Hillemann, M.; Ulrich, M. (2024). Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2-2024, 223–230. doi:10.5194/isprs-annals-X-2-2024-223-2024  

Yang, Y.; Cermak, J.; Chen, X.; Chen, Y.; Hou, X. (2024). High-Resolution PM${}_{10}$ Estimation Using Satellite Data and Model-Agnostic Meta-Learning. Remote Sensing, 16 (13), Art.-Nr.: 2498. doi:10.3390/rs16132498  

Zeising, O.; Neckel, N.; Dörr, N.; Helm, V.; Steinhage, D.; Timmermann, R.; Humbert, A. (2024). Extreme melting at Greenland’s largest floating ice tongue. The Cryosphere, 18, 1333–1357. doi:10.5194/tc-18-1333-2024  

Zipfel, L.; Andersen, H.; Grosvenor, D. P.; Cermak, J. (2024). How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning. Atmosphere, 15 (5), Art.-Nr.: 596. doi:10.3390/atmos15050596  

Andersen, H.; Cermak, J.; Douglas, A.; Myers, T. A.; Nowack, P.; Stier, P.; Wall, C. J.; Wilson Kemsley, S. (2023). Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations. Atmospheric Chemistry and Physics, 23 (18), 10775 – 10794. doi:10.5194/acp-23-10775-2023  

Bradley, P. E. (2023). Heat Equations and Wavelets on Mumford Curves and Their Finite Quotients. Journal of Fourier Analysis and Applications, 29 (5), Art.-Nr.: 62. doi:10.1007/s00041-023-10046-y  

Bradley, P. E.; Ledezma, Á. M. (2023). Hearing shapes via p -adic Laplacians. Journal of Mathematical Physics, 64 (11), Art.-Nr. 113502. doi:10.1063/5.0152374 

Claassen, J. N.; Ward, P. J.; Daniell, J.; Koks, E. E.; Tiggeloven, T.; de Ruiter, M. C. (2023). A new method to compile global multi-hazard event sets. Scientific Reports, 13, Art.-Nr.: 13808. doi:10.1038/s41598-023-40400-5 

Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J. (2023). Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection. Infrastructures, 8 (4), Art.-Nr. 72. doi:10.3390/infrastructures8040072  

Evers, M.; Thiele, A.; Hammer, H.; Hinz, S. (2023). PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool. Remote Sensing, 15 (19), Art.-Nr.: 4646. doi:10.3390/rs15194646  

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. 

Franke, S.; Bons, P. D.; Streng, K.; Mundel, F.; Binder, T.; Weikusat, I.; Bauer, C. C.; Paden, J. D.; Dörr, N.; Helm, V.; Steinhage, D.; Eisen, O.; Jansen, D. (2023). Three-dimensional topology dataset of folded radar stratigraphy in northern Greenland. Scientific Data, 10, Art.-Nr.: 525. doi:10.1038/s41597-023-02339-0  

Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D. (2023). Entwicklung eines mobilen, automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS). Teil 1: Kurzbericht. Bundesministerium für Bildung und Forschung (BMBF). 

Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D. (2023). Entwicklung eines mobilen, automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS). Teil 1: Kurzbericht. Technische Informationsbibliothek (TIB). 

Glocke, P.; Bechtel, B.; Sismanidis, P. (2023). Impacts of Altered Human Activities due to COVID-19 Lockdown on Air Pollutants and Land Surface Temperatures across European Cities. 2023 Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece, 17-19 May 2023, 1–4, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JURSE57346.2023.10144137 

Glocke, P.; Bechtel, B.; Sismanidis, P. (2023). Consideration of Altered Anthropogenic Behavior during the First Lockdown and Its Effects on Air Pollutants and Land Surface Temperature in European Cities. Atmosphere, 14 (6), Art.Nr.: 1025. doi:10.3390/atmos14061025  

Glocke, P.; Scholz, T.; Grudzielanek, A. M. (2023). Assessing the Cooling Potential of Tailing Piles for Urban Heat Mitigation in Germany’s Ruhr Metropolitan Area—A Case Study of the Rungenberg in Gelsenkrichen. Atmosphere, 14 (10), Art.-Nr.: 1492. doi:10.3390/atmos14101492  

Grudzielanek, A. M.; Lemoine-Rodriguez, R.; Glocke, P.; Scholz, T.; Zepp, H. (2023). Cold spots oder hot spots – Thermische Muster und Kaltluftabfluss auf Bergehalden im Ruhrgebiet = Thermal patterns and cold airflow on tailings piles in the Ruhr area. Berichte Geographie und Landeskunde, 96 (3), 189–214. doi:10.25162/bgl-2023-0010  

Haitz, D.; Hübner, P.; Ulrich, M.; Jutzi, B. (2023). A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications. tm - Technisches Messen. doi:10.1515/teme-2023-0009 

Haitz, D.; Jutzi, B.; Ulrich, M.; Jäger, M.; Hübner, P. (2023). Combining Hololens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 167 – 174. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-167-2023  

Haitz, D.; Jutzi, B.; Ulrich, M.; Jäger, M.; Huebner, P. (2023). Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping. arxiv. doi:10.48550/arXiv.2304.14301 

Hare, D. K.; Benz, S. A.; Kurylyk, B. L.; Johnson, Z. C.; Terry, N. C.; Helton, A. M. (2023). Paired Air and Stream Temperature Analysis (PASTA) to Evaluate Groundwater Influence on Streams. Water Resources Research, 59 (4), e2022WR033912. doi:10.1029/2022WR033912  

Hochstuhl, S.; Hammer, H.; Thiele, A.; Hinz, S. (2023). Wishart-Umap - Translating Pixel Similarity of PolSAR Images To Real-Valued Feature Descriptors. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasedena, USA, 16-21 July 2023, 5966 – 5969, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS52108.2023.10281658 

Hochstuhl, S.; Pfeffer, N.; Thiele, A.; Hammer, H.; Hinz, S. (2023). Your Input Matters—Comparing Real-Valued PolSAR Data Representations for CNN-Based Segmentation. Remote Sensing, 15 (24), Art.-Nr.: 5738. doi:10.3390/rs15245738  

Hochstuhl, S.; Pfeffer, N.; Thiele, A.; Hinz, S.; Amao-Oliva, J.; Scheiber, R.; Reigber, A.; Dirks, H. (2023). Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data land cover classification. ISPRS Open Journal of Photogrammetry and Remote Sensing, 10, Article no: 100047. doi:10.1016/j.ophoto.2023.100047  

Hochstuhl, S. M.; Pfeffer, N.; Thiele, A.; Hinz, S.; Amao-Oliva, J.; Scheiber, R.; Reigber, A.; Dirks, H. (2023, August 18). Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2). doi:10.35097/1700 

Hochstuhl, S. M.; Pfeffer, N.; Thiele, A.; Hinz, S.; Amao-Oliva, J.; Scheiber, R.; Reigber, A.; Dirks, H. (2023, Juni 20). Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification. doi:10.5445/IR/1000159469 

Iwaszczuk, D.; Goebel, M.; Du, Y.; Schmidt, J.; Weinmann, M. (2023). Potential of Mobile Mapping to Create Digital Twins of Forests. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 199 – 206. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-199-2023  

Jäger, M.; Hübner, P.; Haitz, D.; Jutzi, B. (2023). A comparative Neural Radiance Field (NERF) 3D analsyis of camera poses from HoloLens trajectories and structure from motion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 207–213. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-207-2023  

Jäger, M.; Jutzi, B. (2023). 3D Density-Gradient Based Edge Detection on Neural Radiance Fields (NERFS) for Geometric Reconstruction. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W3-2023, 71–78. doi:10.5194/isprs-archives-XLVIII-1-W3-2023-71-2023  

Kamm, B.; Schenk, A.; Yuan, P.; Hinz, S. (2023). Mathematical and physical approaches to infer absolute zenith wet delays from double differential interferometric observations using ERA5 atmospheric reanalysis. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-1-2023, 153–159. doi:10.5194/isprs-archives-XLVIII-M-1-2023-153-2023  

Krüger, S.; Kamm, B.; Mayer, M. (2023). Nachwuchs-Forum "Ein multiperspektivischer Blick auf den Berufseinstieg der Generation Z". Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, 71 (1), 57–61. 

Landgraf, S.; Hillemann, M.; Aberle, M.; Jung, V.; Ulrich, M. (2023). Segmentation of industrial burner flames: a comparative study from traditional image processing to machine and deep learning. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023, 953–960. doi:10.5194/isprs-annals-X-1-W1-2023-953-2023  

Landgraf, S.; Hillemann, M.; Aberle, M.; Jung, V.; Ulrich, M. (2023). Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Deep Learning. doi:10.5445/IR/1000159876  

Landgraf, S.; Hillemann, M.; Ulrich, M.; Aberle, M.; Jung, V. (2023, Juni 20). Dataset for the Segmentation of Industrial Burner Flames. doi:10.5445/IR/1000159497 

Landgraf, S.; Hillemann, M.; Wursthorn, K.; Ulrich, M. (2023). U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation. arxiv. doi:10.48550/arXiv.2307.09947  

Landgraf, S.; Wursthorn, K.; Hillemann, M.; Ulrich, M. (2023). DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation. 

Ludwig, P.; Ehmele, F.; Franca, M. J.; Mohr, S.; Caldas-Alvarez, A.; Daniell, J. E.; Ehret, U.; Feldmann, H.; Hundhausen, M.; Knippertz, P.; Küpfer, K.; Kunz, M.; Mühr, B.; Pinto, J. G.; Quinting, J.; Schäfer, A. M.; Seidel, F.; Wisotzky, C. (2023). A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change. Natural Hazards and Earth System Sciences, 23 (4), 1287–1311. doi:10.5194/nhess-23-1287-2023  

McCusker, G. Y.; Vüllers, J.; Achtert, P.; Field, P.; Day, J. J.; Forbes, R.; Forbes, R.; Price, R.; O’Connor, E.; Tjernström, M.; Prytherch, J.; Neely III, R.; Brooks, I. M. (2023). Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System. Atmospheric Chemistry and Physics, 23 (8), 4819–4847. doi:10.5194/acp-23-4819-2023  

Michel, A.; Weinmann, M.; Schenkel, F.; Gomez, T.; Falvey, M.; Schmitz, R.; Middelmann, W.; Hinz, S. (2023). Terrestrial Visual Dust Density Estimation Based On Deep Learning. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasedena, USA, 16-21 July 2023, 4923 – 4926, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS52108.2023.10281563 

Mohr, S.; Ehret, U.; Kunz, M.; Ludwig, P.; Caldas-Alvarez, A.; Daniell, J. E.; Ehmele, F.; Feldmann, H.; Franca, M. J.; Gattke, C.; Hundhausen, M.; Knippertz, P.; Küpfer, K.; Mühr, B.; Pinto, J. G.; Quinting, J.; Schäfer, A. M.; Scheibel, M.; Seidel, F.; Wisotzky, C. (2023). A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis. Natural hazards and earth system sciences, 23 (2), 525–551. doi:10.5194/nhess-23-525-2023  

Mühr, B.; Daniell, J. E.; Schäfer, A. M.; Mohr, S.; Kunz, M. (2023). CEDIM Forensic Disaster Analysis Group (FDA): Starkregen Griechenland & Libyen (Sept. 2023). doi:10.5445/IR/1000163284  

Noethen, M.; Hemmerle, H.; Menberg, K.; Epting, J.; Benz, S. A.; Blum, P.; Bayer, P. (2023). Thermal impact of underground car parks on urban groundwater. Science of The Total Environment, 903, Art.-Nr.: 166572. doi:10.1016/j.scitotenv.2023.166572  

Petrovska, I.; Jäger, M.; Haitz, D.; Jutzi, B. (2023). Geometric Accuracy Analysis Between Neural Radiance Fields (NERFS) and Terrestrial Laser Scanning (TLS). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W3-2023, 153–159. doi:10.5194/isprs-archives-XLVIII-1-W3-2023-153-2023  

Pham, V. C.; Bauer, J.; Börsig, N.; Ho, J.; Vu Huu, L.; Tran Viet, H.; Dörr, F.; Norra, S. (2023). Groundwater Use Habits and Environmental Awareness in Ca Mau Province, Vietnam: Implications for Sustainable Water Resource Management. Environmental Challenges, 13, Art.Nr.: 100742. doi:10.1016/j.envc.2023.100742  

Schäfer, A. M.; Daniell, J. E.; Mühr, B.; Skapski, J.-U.; Mohr, S.; Kunz, M. (2023). CEDIM Forensic Disaster Analysis Group (FDA): Kahramanmaraş & Elbistan Erdbeben Türkei. doi:10.5445/IR/1000155770  

Smith, K. A.; O’Sullivan, A. M.; Kennedy, G.; Benz, S. A.; Somers, L. D.; Kurylyk, B. L. (2023). Shallow groundwater temperature patterns revealed through a regional monitoring well network. Hydrological Processes, 37 (9), Art.-Nr.: e14975. doi:10.1002/hyp.14975  

Werner Wolf, D.; Ulrich, M.; Braun, A. (2023). Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 5190–5197, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC57777.2023.10421970 

Wolf, D. W.; Ulrich, M.; Braun, A. (2023). Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient. arxiv. doi:10.48550/arXiv.2305.14513  

Wolf, D. W.; Ulrich, M.; Braun, A. (2023). Novel developments of refractive power measurement techniques in the automotive world. Metrologia, 60 (6), Article no: 064001. doi:10.1088/1681-7575/acf1a4  

Wolf, D. W.; Ulrich, M.; Kapoor, N. (2023). Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield. 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Paris, 25th December 2023, 4102–4111, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVW60793.2023.00443  

Wolf, D. W.; Ulrich, M.; Kapoor, N. (2023). Sensitivity Analysis of AI-Based Algorithms for Autonomous Driving on Optical Wavefront Aberrations Induced by the Windshield. doi:10.5445/IR/1000162967  

Zhou, B.; Klein, J.-F.; Wang, B.; Hillemann, M. (2023). Semantic Mapping and Autonomous Navigation for Agile Production System. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-30 August 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CASE56687.2023.10260623 

Andersen, H.; Cermak, J.; Zipfel, L.; Myers, T. A. (2022). Attribution of Observed Recent Decrease in Low Clouds Over the Northeastern Pacific to Cloud‐Controlling Factors. Geophysical research letters, 49 (3), e2021GL096498. doi:10.1029/2021GL096498  

Bertels, M.; Jutzi, B.; Ulrich, M. (2022). Automatic Real-Time Pose Estimation of Machinery from Images. Sensors, 22 (7), 2627. doi:10.3390/s22072627  

Bluhm, R.; Polonik, P.; Hemes, K. S.; Sanford, L. C.; Benz, S. A.; Levy, M. C.; Ricke, K. L.; Burney, J. A. (2022). Disparate air pollution reductions during California’s COVID-19 economic shutdown. Nature Sustainability, 5 (6), 509–517. doi:10.1038/s41893-022-00856-1 

Boé, J.; Mass, A.; Deman, J. (2022). A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value?. Climate Dynamics. doi:10.1007/s00382-022-06552-2 

Boldt, M.; Thiele, A.; Schulz, K. (2022). Training data generation for machine learning using GPR images. Proceedings Volume 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, Ed.: K. Schulz, 122680F, SPIE. doi:10.1117/12.2635714 

Bradley, P. E.; Jahn, M. W. (2022). On the Behaviour of p-Adic Scaled Space Filling Curve Indices for High-Dimensional Data. The computer journal, 65 (2), 310–330. doi:10.1093/comjnl/bxaa036 

Christensen, M. W.; Gettelman, A.; Cermak, J.; Dagan, G.; Diamond, M.; Douglas, A.; Feingold, G.; Glassmeier, F.; Goren, T.; Grosvenor, D. P.; Gryspeerdt, E.; Kahn, R.; Li, Z.; Ma, P.-L.; Malavelle, F.; McCoy, I. L.; McCoy, D. T.; McFarquhar, G.; Mülmenstädt, J.; Pal, S.; Possner, A.; Povey, A.; Quaas, J.; Rosenfeld, D.; Schmidt, A.; Schrödner, R.; Sorooshian, A.; Stier, P.; Toll, V.; Watson-Parris, D.; Wood, R.; Yang, M.; Yuan, T. (2022). Opportunistic experiments to constrain aerosol effective radiative forcing. Atmospheric chemistry and physics, 22 (1), 641–674. doi:10.5194/acp-22-641-2022  

Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J. (2022). Ratio-based features for bridge damage detection based on displacement influence line and curvature influence line. Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability, CRC Press. 

Dörr, N.; Schenk, A.; Hinz, S. (2022). On the Relevance of Temporary Persistent Scatterers for Long-Term PS-InSAR Monitoring. EUSAR 2022 ; 14th European Conference on Synthetic Aperture Radar, 541–546, VDE Verlag. 

Dörr, N.; Schenk, A.; Hinz, S. (2022). Systematic Analysis of Initial Settlement of new Constructions in the Mekong Delta by Coherence Change Detection of Temporary Persistent Scatterers. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, 17-22 July 2022, 1111–1114, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS46834.2022.9883381 

Dörr, N.; Schenk, A.; Hinz, S. (2022). Fully Integrated Temporary Persistent Scatterer Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 60, Art no. 4412815. doi:10.1109/TGRS.2022.3200155 

Evers, M.; Thiele, A.; Hammer, H.; Hinz, S. (2022). The Filling Process of an Embankment Dam Monitored with PSI. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 1640–1643, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS46834.2022.9883950 

Fersch, B.; Kamm, B.; Shehaj, E.; Wagner, A.; Yuan, P.; Möller, G.; Schenk, A.; Geiger, A.; Hinz, S.; Kutterer, H.; Kunstmann, H. (2022). A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany. doi:10.1594/PANGAEA.936447 

Fersch, B.; Wagner, A.; Kamm, B.; Shehaj, E.; Schenk, A.; Yuan, P.; Geiger, A.; Moeller, G.; Heck, B.; Hinz, S.; Kutterer, H.; Kunstmann, H. (2022). Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region. Earth System Science Data, 14 (12), 5287–5307. doi:10.5194/essd-14-5287-2022  

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  

Franke, S.; Jansen, D.; Binder, T.; Paden, J. D.; Dörr, N.; Gerber, T. A.; Miller, H.; Dahl-Jensen, D.; Helm, V.; Steinhage, D.; Weikusat, I.; Wilhelms, F.; Eisen, O. (2022). Airborne ultra-wideband radar sounding over the shear margins and along flow lines at the onset region of the Northeast Greenland Ice Stream. Earth system science data, 14 (2), 763–779. doi:10.5194/essd-14-763-2022  

Fuchs, J.; Andersen, H.; Cermak, J.; Pauli, E.; Roebeling, R. (2022). High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds. Atmospheric Measurement Techniques, 15 (14), 4257–4270. doi:10.5194/amt-15-4257-2022  

Haitz, D.; Hübner, P.; Ulrich, M.; Landgraf, S.; Jutzi, B. (2022). Semantic segmentation with small training datasets: A case study for corrosion detection on the surface of industrial objects. Forum Bildverarbeitung 2022. Ed.: T. Längle; M. Heizmann, 73–85, KIT Scientific Publishing.  

Haitz, D.; Jutzi, B.; Hübner, P.; Ulrich, M. (2022). Corrosion detection for industrial objects: from multi-sensor system to 5D feature space. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2022, 143–150. doi:10.5194/isprs-archives-XLIII-B1-2022-143-2022  

Hammer, H.; Kuny, S.; Schmitz, S.; Thielea, A. (2022). Training a CNN with Simulated Data for ATR – Lessons Learned. EUSAR 2022; 14th European Conference on Synthetic Aperture Radar, 1–6, Institute of Electrical and Electronics Engineers (IEEE). 

Heizmann, M.; Braun, A.; Glitzner, M.; Günther, M.; Hasna, G.; Klüver, C.; Krooß, J.; Marquardt, E.; Overdick, M.; Ulrich, M. (2022). Implementing machine learning: chances and challenges. Automatisierungstechnik, 70 (1), 90–101. doi:10.1515/auto-2021-0149 

Hinz, S.; Feitosa, R. Q.; Weinmann, M.; Jutzi, B. (2022). Preface: Technical Commission I. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2022, 7. doi:10.5194/isprs-archives-XLIII-B1-2022-7-2022  

Hinz, S.; Feitosa, R. Q.; Weinmann, M.; Jutzi, B. (2022). Preface: Technical Commission I. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1-2022, 7. doi:10.5194/isprs-annals-V-1-2022-7-2022  

Hübner, P.; Wursthorn, S.; Weinmann, M. (2022). Normal classification of 3D occupancy grids for voxel-based indoor reconstruction from point clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-4-2022, 121–128. doi:10.5194/isprs-annals-V-4-2022-121-2022  

Jahani, B.; Andersen, H.; Calbó, J.; González, J.-A.; Cermak, J. (2022). Longwave radiative effect of the cloud–aerosol transition zone based on CERES observations. Atmospheric chemistry and physics, 22 (2), 1483–1494. doi:10.5194/acp-22-1483-2022  

Jahn, M. W.; Bradley, P. E. (2022). Topological Access Methods for Spatial and Spatiotemporal Data. ISPRS International Journal of Geo-Information, 11 (10), 533. doi:10.3390/ijgi11100533  

Jahn, M. W.; Bradley, P. E. (2022). A Robustness Study for the Extraction of Watertight Volumetric Models from Boundary Representation Data. ISPRS International Journal of Geo-Information, 11 (4), Artk.Nr.: 224. doi:10.3390/ijgi11040224  

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  

Li, J.; Weinmann, M.; Sun, X.; Diao, W.; Feng, Y.; Hinz, S.; Fu, K. (2022). VD-LAB: A view-decoupled network with local-global aggregation bridge for airborne laser scanning point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing, 186, 19–33. doi:10.1016/j.isprsjprs.2022.01.012 

Ludwig, P.; Ehmele, F.; Franca, M. J.; Mohr, S.; Caldas-Alvarez, A.; Daniell, J. E.; Ehret, U.; Feldmann, H.; Hundhausen, M.; Knippertz, P.; Küpfer, K.; Kunz, M.; Mühr, B.; Pinto, J. G.; Quinting, J.; Schäfer, A. M.; Seidel, F.; Wisotzky, C. (2022). A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe - Part 2: Historical context and relation to climate change. Natural hazards and earth system sciences discussions. doi:10.5194/nhess-2022-225  

Mao, Y.; Chen, K.; Diao, W.; Sun, X.; Lu, X.; Fu, K.; Weinmann, M. (2022). Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 45–61. doi:10.1016/j.isprsjprs.2022.03.019 

Mayer, M.; Przybilla, M.; Kamm, B.; Krüger, S.; Rabold, J. (2022). Training of Ethical Competencies in Bsc Degree Programs – a Digital, Multi-Perspective, and Student-Centered Approach. XXVII FIG Congress: Volunteering for the future - Geospatial excellence for a better living. 

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  

Palka, J.; Lenz, A.; Middelmann, W.; Weinmann, M. (2022). Evaluation of the NEON dataset for the automatic detection of treetops and delineation of tree crowns in American and German mixed forests. Proceedings Volume 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, Art.-Nr.: 1226807, SPIE. doi:10.1117/12.2643747 

Pauli, E.; Cermak, J.; Andersen, H. (2022). A satellite‐based climatology of fog and low stratus formation and dissipation times in central Europe. Quarterly Journal of the Royal Meteorological Society, 148 (744), 1439–1454. doi:10.1002/qj.4272  

Pauli, E.; Cermak, J.; Teuling, A. J. (2022). Enhanced nighttime fog and low stratus occurrence over the Landes forest, France. Geophysical research letters, 49 (5), e2021GL097058. doi:10.1029/2021GL097058  

Rebmeister, M.; Auer, S.; Schenk, A.; Hinz, S. (2022). Geocoding of ground-based SAR data for infrastructure objects using the Maximum A Posteriori estimation and ray-tracing. ISPRS Journal of Photogrammetry and Remote Sensing, 189, 110–127. doi:10.1016/j.isprsjprs.2022.04.030 

Schäfer, A.; Daniell, J. E.; Skapski, J.-U.; Mohr, S. (2022). CEDIM Forensic Disaster Analysis Group (FDA) "Volcano & Tsunami Hunga Tonga" Report No. 1. doi:10.5445/IR/1000142014  

Schill, F.; Michel, C.; Firus, A. (2022). Contactless Deformation Monitoring of Bridges with Spatio-Temporal Resolution: Profile Scanning and Microwave Interferometry. Sensors, 22 (23), Art.-Nr.: 9562. doi:10.3390/s22239562  

Schmitz, S.; Thiele, A.; Hammer, H.; Hinz, S. (2022). Impact of highly varying incidence angle on the feature space of polsar images. EUSAR 2022; 14th European Conference on Synthetic Aperture Radar, 360–365, Institute of Electrical and Electronics Engineers (IEEE). 

Schmitz, S.; Hammer, H.; Thiele, A. (2022). Multi-Frequency Polinsar Data are Advantageous for Land Cover Classification – A Visual and Quantitative Analysis. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V (1), 49–56. doi:10.5194/isprs-annals-v-1-2022-49-2022  

Steger, C.; Ulrich, M. (2022). A Multi-view Camera Model for Line-Scan Cameras with Telecentric Lenses. Journal of Mathematical Imaging and Vision, 64, 105–130. doi:10.1007/s10851-021-01055-x  

Sun, X.; Wang, P.; Yan, Z.; Xu, F.; Wang, R.; Diao, W.; Chen, J.; Li, J.; Feng, Y.; Xu, T.; Weinmann, M.; Hinz, S.; Wang, C.; Fu, K. (2022). FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 184, 116–130. doi:10.1016/j.isprsjprs.2021.12.004 

Wursthorn, K.; Hillemann, M.; Ulrich, M. (2022). Comparison of uncertainty quantification methods for CNN-based regression. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 721–728. doi:10.5194/isprs-archives-XLIII-B2-2022-721-2022  

Yang, Y.; Cermak, J.; Yang, K.; Pauli, E.; Chen, Y. (2022). Land Use and Land Cover Influence on Sentinel-2 Aerosol Optical Depth below City Scales over Beijing. Remote Sensing, 14 (18), Art.-Nr.: 4677. doi:10.3390/rs14184677  

Zipfel, L.; Andersen, H.; Cermak, J. (2022). Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations. Atmosphere, 13 (4), Art.-Nr.: 586. doi:10.3390/atmos13040586  

Zube, A.; Kleiser, D.; Albrecht, A.; Woock, P.; Emter, T.; Ruf, B.; Tchouchenkov, I.; Buller, A.; Wagner, B.; Baatar, G.; Petereit, J. (2022). Autonomously mapping shallow water environments under and above the water surface [Autonome Kartierung von Flachwasserumgebungen unter und über der Wasseroberflache]. at - Automatisierungstechnik, 70 (5), 482–495. doi:10.1515/auto-2021-0145 

Andersen, H.; Cermak, J.; Stirnberg, R.; Fuchs, J.; Kim, M.; Pauli, E. (2021). Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning. Tellus / B, 73 (1), 1–13. doi:10.1080/16000889.2021.1971925  

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  

Benz, S. A.; Davis, S. J.; Burney, J. A. (2021). Drivers and projections of global surface temperature anomalies at the local scale. Environmental Research Letters, 16 (6), Article no: 064093. doi:10.1088/1748-9326/ac0661  

Benz, S. A.; Burney, J. A. (2021). Widespread Race and Class Disparities in Surface Urban Heat Extremes Across the United States. Earth’s Future, 9 (7), e2021EF002016. doi:10.1029/2021EF002016  

Bulatov, D.; Stütz, D.; Hacker, J.; Weinmann, M. (2021). Classification of airborne 3D point clouds regarding separation of vegetation in complex environments. Applied Optics, 60 (22), F6-F20. doi:10.1364/AO.422973 

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 

Dörr, N.; Schenk, A.; Hinz, S. (2021). Analysis of Heterogeneous PS-InSAR Derived Subsidence Rates Using Categorized GIS Objects - A Case Study in the Mekong Delta. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 11-16 July 2021, 2655–2658, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS47720.2021.9553297 

Dubois, C.; Jutzi, B.; Olijslagers, M.; Pathe, C.; Schmullius, C.; Stelmaszczuk-Górska, M. A.; Vandenbroucke, D.; Weinmann, M. (2021). Knowledge and skills related to active optical sensors in the body of knowledge for earth observation and geoinformation (EO4GEO BOK). ISPRS annals, V-5-2021, 9–16. doi:10.5194/isprs-annals-V-5-2021-9-2021  

Erdnüß, B. (2021). A review of the one-parameter division undistortion model. Volume V-1-2021, 2021 | XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission I: 2021 edition, 5-9 July 2021. Ed.: N. Paparoditis, 89–96, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-annals-V-1-2021-89-2021  

Evers, M.; Thiele, A.; Hammer, H.; Cadario, E.; Schulz, K.; Hinz, S. (2021). Concept to analyze the displacement time series of individual persistent scatterers. XXIV ISPRS Congress (2021 edition). Ed.: N. Paparoditis, 147–154, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-archives-XLIII-B3-2021-147-2021  

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  

Hammer, H.; Lorenz, F.; Cadario, E.; Kuny, S.; Thiele, A. (2021). Enhancement of coherence images for coherent change detection. 13th European Conference on Synthetic Aperture Radar, EUSAR 2021: Online ; 29 March 2021 through 1 April 2021, 881–886, Institute of Electrical and Electronics Engineers (IEEE). 

Hammer, H.; Kuny, S.; Thiele, A. (2021). Enhancing coherence images for coherent change detection: An example on vehicle tracks in airborne sar images. Remote Sensing, 13 (24), 5010. doi:10.3390/rs13245010  

Hermann, M.; Ruf, B.; Weinmann, M. (2021). Real-Time Dense 3D Reconstruction from Monocular Video Data Captured by Low-Cost UAVS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2021, 361–368. doi:10.5194/isprs-archives-XLIII-B2-2021-361-2021  

Hermann, M.; Pollok, T.; Brommer, D.; Zahn, D. (2021). IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction. 

Hermann, M.; Pollok, T.; Brommer, D.; Zahn, D. (2021). IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction. Advances in Visual Computing: 16th International Symposium, ISVC 2021, Virtual Event, October 4-6, 2021, Proceedings, Part I. Ed.: G. Bebis, 441–454, Springer-Verlag. doi:10.1007/978-3-030-90439-5_35 

Hinz, S.; Feitosa, R. Q.; Weinmann, M.; Jutzi, B. (2021). Preface: Technical Commission I. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2021, 7. doi:10.5194/isprs-archives-XLIII-B1-2021-7-2021  

Hinz, S.; Feitosa, R. Q.; Weinmann, M.; Jutzi, B. (2021). Preface: Technical Commission I. ISPRS annals, V-1-2021, 7. doi:10.5194/isprs-annals-V-1-2021-7-2021  

Hübner, P.; Weinmann, M.; Wursthorn, S.; Hinz, S. (2021). Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption. Remote sensing, 13 (23), 4765. doi:10.3390/rs13234765  

Hübner, P.; Weinmann, M.; Wursthorn, S.; Hinz, S. (2021). Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes. ISPRS journal of photogrammetry and remote sensing, 181, 254–278. doi:10.1016/j.isprsjprs.2021.07.002 

Jahn, M. W.; Bradley, P. E. (2021). Computing watertight volumetric models from boundary representations to ensure consistent topological operations. ISPRS annals, VIII-4/W2-2021, 21–28. doi:10.5194/isprs-annals-VIII-4-W2-2021-21-2021  

Jijón-Palma, M. E.; Kern, J.; Amisse, C.; Centeno, J. A. S. (2021). Improving stacked-autoencoders with 1D convolutional-nets for hyperspectral image land-cover classification. Journal of applied remote sensing, 15 (2), Artikel-Nr.: 026506. doi:10.1117/1.JRS.15.026506 

Kattenborn, T.; Leitloff, J.; Schiefer, F.; Hinz, S. (2021). Review on Convolutional Neural Networks (CNN) in vegetation remote sensing. ISPRS journal of photogrammetry and remote sensing, 173, 24–49. doi:10.1016/j.isprsjprs.2020.12.010  

Kern, J. (2021, März 18). UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 2). doi:10.5445/IR/1000130454 

Krüger, S.; Mayer, M. (2021). Nachwuchs-Forum "Wie entsteht Berufsethik? - Ein empirischer Antwortversuch". Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, (2), 23–26. 

Kuny, S.; Hammer, H.; Schulz, K. (2021). On the classifier performance for simulation based debris detection in sar imagery. Volume XLIII-B1-2021, XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission I: 2021 edition, 5–9 July 2021. Ed.: N. Paparoditis, 45–50, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-archives-XLIII-B1-2021-45-2021  

Leeuw, G. de; A, R. van der; Bai, J.; Xue, Y.; Varotsos, C.; Li, Z.; Fan, C.; Chen, X.; Christodoulakis, I.; Ding, J.; Hou, X.; Kouremadas, G.; Li, D.; Wang, J.; Zara, M.; Zhang, K.; Zhang, Y. (2021). Air Quality over China. Remote sensing, 13 (17), Art.-Nr.: 3542. doi:10.3390/rs13173542  

Li, J.; Weinmann, M.; Sun, X.; Diao, W.; Feng, Y.; Fu, K. (2021). Random Topology and Random Multiscale Mapping: An Automated Design of Multiscale and Lightweight Neural Network for Remote-Sensing Image Recognition. IEEE Transactions on Geoscience and Remote Sensing, 60, Art.Nr. 5610917. doi:10.1109/TGRS.2021.3102988 

Ma, J.; Zhou, J.; Liu, S.; Göttsche, F.-M.; Zhang, X.; Wang, S.; Li, M. (2021). Continuous evaluation of the spatial representativeness of land surface temperature validation sites. Remote sensing of environment, 265, Article no: 112669. doi:10.1016/j.rse.2021.112669 

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  

Pauli, E.; Cermak, J.; Andersen, H. (2021, Dezember 20). Satellite-based fog and low stratus cloud formation and dissipation times data set. doi:10.5445/IR/1000141293 

Rabold, J.; Heublein, M.; Mayer, M. (2021). Beteiligung von Studierenden bei der Weiterentwicklung des Lehr-Lernsystems. Die Hochschullehre, (6), 520–528. doi:10.3278/HSL2041W  

Rebmeister, M.; Schenk, A.; Bradley, P. E.; Dörr, N.; Hinz, S. (2021). OCLeaS – A tomographic PSI Algorithm using Orthogonal Matching Pursuit and Complex Least Squares. Procedia computer science, 181, 220–230. doi:10.1016/j.procs.2021.01.143  

Ruf, B.; Mohrs, J.; Weinmann, M.; Hinz, S.; Beyerer, J. (2021). ReS²tAC—UAV-borne real-time SGM stereo optimized for embedded ARM and CUDA devices. Sensors, 21 (11), Article: 3938. doi:10.3390/s21113938  

Schenkel, F.; Hinz, S.; Middelmann, W. (2021). Style transfer-based domain adaptation for vegetation segmentation with optical imagery. Applied optics, 60 (22), F109-F117. doi:10.1364/AO.423910 

Schmitz, S.; Weidner, U.; Hammer, H.; Thiele, A. (2021). Evaluating uniform manifold approximation and projection for dimension reduction and visualization of polinsar features. Volume V-1-2021, 2021 | XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission I: 2021 edition, 5-9 July 2021. Ed.: N. Paparoditis, 39–46, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-annals-V-1-2021-39-2021  

Schmitz, S.; Wortmeyer, E.; Thiele, A.; Dirks, H.; Wurpts, A. (2021). Detection of Mussel Beds Using Airborne Polarimetric SAR Data. IGARSS 2021 – 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings ; 12–16 July 2021, Virtual Symposium, Brussels, Belgium, 7501–7504, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS47720.2021.9553437 

Schneider, B.; Wortmeyer, E.; Schmitz, S.; Thiele, A.; Havel, P.; Dirks, H. (2021). Evaluating different water-land-boundary approximations to improve sar-derived digital elevation models. L. F. Y. M. Y. H. S. F. R. Q. W. M. J. B. Paparoditis N. Mallet C. (Hrsg.), Volume XLIII-B1-2021, XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission I: 2021 edition, 5–9 July 2021. Ed.: N. Paparoditis, 51–56, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-archives-XLIII-B1-2021-51-2021  

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  

Steger, C.; Ulrich, M. (2021). A Camera Model for Line-Scan Cameras with Telecentric Lenses. International journal of computer vision, 129, 80–99. doi:10.1007/s11263-020-01358-3  

Stirnberg, R.; Cermak, J.; Kotthaus, S.; Haeffelin, M.; Andersen, H.; Fuchs, J.; Kim, M.; Petit, J.-E.; Favez, O. (2021). Meteorology-driven variability of air pollution (PM₁) revealed with explainable machine learning. Atmospheric chemistry and physics, 21 (5), 3919–3948. doi:10.5194/acp-21-3919-2021  

Sun, X.; Wang, P.; Yan, Z.; Diao, W.; Lu, X.; Yang, Z.; Zhang, Y.; Xiang, D.; Yan, C.; Guo, J.; Dang, B.; Wei, W.; Xu, F.; Wang, C.; Hansch, R.; Weinmann, M.; Yokoya, N.; Fu, K. (2021). Automated High-resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14. doi:10.1109/JSTARS.2021.3106941  

Sun, X.; Wang, P.; Yan, Z.; Xu, F.; Wang, R.; Diao, W.; Chen, J.; Li, J.; Feng, Y.; Xu, T.; Weinmann, M.; Hinz, S.; Wang, C.; Fu, K. (2021). FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery. doi:10.48550/arXiv.2103.05569 

Ulrich, M.; Hillemann, M. (2021). Generic Hand–Eye Calibration of Uncertain Robots. IEEE International Conference on Robotics and Automation (ICRA), 30 May-5 June 2021, 11060–11066, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48506.2021.9560823 

Vey, S.; Al-Halbouni, D.; Haghighi, M. H.; Alshawaf, F.; Vüllers, J.; Güntner, A.; Dick, G.; Ramatschi, M.; Teatini, P.; Wickert, J.; Weber, M. (2021). Delayed subsidence of the Dead Sea shore due to hydro-meteorological changes. Scientific Reports, 11 (1), 13518. doi:10.1038/s41598-021-91949-y  

Weinmann, M.; Wursthorn, S.; Weinmann, M.; Hübner, P. (2021). Efficient 3D Mapping and Modelling of Indoor Scenes with the Microsoft HoloLens: A Survey. Journal of photogrammetry, remote sensing and geoinformation science, 89, 319–333. doi:10.1007/s41064-021-00163-y  

Wit, K. de; Lexmond, B. R.; Stouthamer, E.; Neussner, O.; Dörr, N.; Schenk, A.; Minderhoud, P. S. J. (2021). Identifying Causes of Urban Differential Subsidence in the Vietnamese Mekong Delta by Combining InSAR and Field Observations. Remote sensing, 13 (2), Art.-Nr. 189. doi:10.3390/rs13020189  

Yang, Y.; Chen, Y.; Yang, K.; Cermak, J.; Chen, Y. (2021). High-resolution aerosol retrieval over urban areas using sentinel-2 data. Atmospheric research, 264, Art.-Nr.: 105829. doi:10.1016/j.atmosres.2021.105829 

Andersen, H.; Cermak, J.; Fuchs, J.; Knippertz, P.; Gaetani, M.; Quinting, J.; Sippel, S.; Vogt, R. (2020). Synoptic-scale controls of fog and low-cloud variability in the Namib Desert. Atmospheric chemistry and physics, 20 (6), 3415–3438. doi:10.5194/acp-20-3415-2020  

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  

Bradley, P. E. (2020). Generalised Diffusion on Moduli Spaces of p-Adic Mumford Curves. P-adic numbers, ultrametric analysis, and applications, 12 (2), 73–89. doi:10.1134/S2070046620020016 

Breunig, M.; Bradley, P. E.; Jahn, M.; Kuper, P.; Mazroob, N.; Rösch, N.; Al-Doori, M.; Stefanakis, E.; Jadidi, M. (2020). Geospatial Data Management Research: Progress and Future Directions. ISPRS International Journal of Geo-Information, 9 (2), 95. doi:10.3390/ijgi9020095  

Bulatov, D.; Stütz, D.; Lucks, L.; Weinmann, M. (2020). Superpoints in RANSAC planes: A new approach for ground surface extraction exemplified on point classification and context-aware reconstruction. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP. Ed.: K. Bouatouch, 25–37, SciTePress. doi:10.5220/0008895600250037 

Bulatov, D.; Burkard, E.; Ilehag, R.; Kottler, B.; Helmholz, P. (2020). From multi-sensor aerial data to thermal and infrared simulation of semantic 3D models: Towards identification of urban heat islands. Infrared physics & technology, 105, Art. Nr.: 103233. doi:10.1016/j.infrared.2020.103233 

Erdnuess, B. (2020). Proper synchronization of geospatial metadata in motion imagery and its evaluation. Geospatial Informatics X 2020; None; United States; 27 April 2020 through 8 May 2020, Art. Nr.: 113980C, SPIE. doi:10.1117/12.2558696 

Erdnüß, B.; Müller, T. (2020). Leistungsstarke und effiziente Bildinterpolation. Forum Bildverarbeitung 2020. Ed.: T. Längle ; M. Heizmann, 253–265, KIT Scientific Publishing.  

Evers, M.; Kyriou, A.; Thiele, A.; Hammer, H.; Nikolakopoulos, K.; Schulz, K. (2020). How to set up a dam monitoring system with PSInSAR and GPS. Earth Resources and Environmental Remote Sensing/GIS Applications XI. Ed.: K. Schulz, Art.-Nr.: 115340L, SPIE. doi:10.1117/12.2573880 

Evers, M.; Hammer, H.; Thiele, A.; Schulz, K. (2020). Strategies for PS processing of large sentinel-1 datasets. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B1-2020, 2020, XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis, 99–106, ISPRS. doi:10.5194/isprs-archives-XLIII-B1-2020-99-2020  

Franke, S.; Jansen, D.; Binder, T.; Dörr, N.; Helm, V.; Paden, J.; Steinhage, D.; Eisen, O. (2020). Bed topography and subglacial landforms in the onset region of the Northeast Greenland Ice Stream. Annals of Glaciology, 61 (81), 143–153. doi:10.1017/aog.2020.12  

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  

Heizmann, M.; Braun, A.; Hüttel, M.; Klüver, C.; Marquardt, E.; Overdick, M.; Ulrich, M. (2020). Artificial intelligence with neural networks in optical measurement and inspection systems. Automatisierungstechnik, 68 (6), 477–487. doi:10.1515/auto-2020-0006 

Hermann, M.; Ruf, B.; Weinmann, M.; Hinz, S. (2020). Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery. ISPRS annals, V-2-2020, 357–364. doi:10.5194/isprs-annals-V-2-2020-357-2020  

Heublein, M.; Bradley, P. E.; Hinz, S. (2020). Observing geometry effects on a Global Navigation Satellite System (GNSS)-based water vapor tomography solved by least squares and by compressive sensing. Annales geophysicae, 38 (1), 179–189. doi:10.5194/angeo-38-179-2020  

Hinz, S.; Feitosa, R. Q.; Weinmann, M.; Jutzi, B. (2020). Preface: Technical Commission I. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43 (B1), 7. doi:10.5194/isprs-archives-XLIII-B1-2020-7-2020  

Hinz, S.; Feitosa, R. Q.; Weinmann, M.; Jutzi, B. (2020). Preface: Technical Commission I. ISPRS annals, 5 (1), 7. doi:10.5194/isprs-annals-V-1-2020-7-2020  

Hübner, P.; Clintworth, K.; Liu, Q.; Weinmann, M.; Wursthorn, S. (2020). Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications. Sensors, 20 (4), 1021. doi:10.3390/s20041021  

Hübner, P.; Weinmann, M.; Wursthorn, S. (2020). Voxel-Based Indoor Reconstruction from HoloLens Triangle Meshes. ISPRS annals, V-4-2020, 79–86. doi:10.5194/isprs-annals-V-4-2020-79-2020  

Ilehag, R.; Leitloff, J.; Weinmann, M.; Schenk, A. (2020). Urban Material Classification Using Spectral and Textural Features Retrieved from Autoencoders. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume V-1-2020, 2020, XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis, 25–32, ISPRS. doi:10.5194/isprs-annals-V-1-2020-25-2020  

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, Mai). 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 

Kim, M.; Kim, H.-C.; Im, J.; Lee, S.; Han, H. (2020). Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data. Remote sensing of environment, 242, 111782. doi:10.1016/j.rse.2020.111782 

Kim, M.; Cermak, J.; Andersen, H.; Fuchs, J.; Stirnberg, R. (2020). A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data. Remote sensing, 12 (21), Article: 3475. doi:10.3390/rs12213475  

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 

Mayer, M.; Rabold, J.; Raible, B.; Muhler, M.; Krüger, S. (2020). Forum für Lehre 2019 am KIT: Geodäsie und Geoinformatik : Ein interdisziplinäres Berufsfeld mit hoher gesellschaftlicher Relevanz. Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, (1), 62–67. 

Pauli, E.; Andersen, H.; Bendix, J.; Cermak, J.; Egli, S. (2020). Determinants of fog and low stratus occurrence in continental central Europe – a quantitative satellite-based evaluation. Journal of hydrology, 591, Art.-Nr.: 125451. doi:10.1016/j.jhydrol.2020.125451 

Riese, F. M. (2020). LUCAS Soil Texture Processing Scripts. doi:10.5281/zenodo.3871431 

Riese, F. M. (2020). Processing Scripts of the ALPACA Dataset. doi:10.5281/zenodo.3871459 

Riese, F. M. (2020, März). Hyperspectral Processing Scripts for the HydReSGeo Dataset 1.0.0. doi:10.5281/zenodo.3706418 

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 

Schmitt, A.; Wendleder, A.; Kleynmans, R.; Hell, M.; Roth, A.; Hinz, S. (2020). Multi-source and multi-temporal image fusion on hypercomplex bases. Remote sensing, 12 (6), 943. doi:10.3390/rs12060943  

Schmitz, S.; Weinmann, M.; Thiele, A. (2020). Incorporating interferometric coherence into lulc classification of airborne polsar-images using fully convolutional networks. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B1-2020, 2020, XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis, 115–122, ISPRS. doi:10.5194/isprs-archives-XLIII-B1-2020-115-2020  

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 

Shatnawi, N.; Weidner, U.; Hinz, S. (2020). Monitoring Urban Expansion as a Result of Refugee Fluxes in North Jordan Using Remote Sensing Techniques. Journal of urban planning and development, 146 (3), Art.-Nr.: 04020026. doi:10.1061/(ASCE)UP.1943-5444.0000584 

Stirnberg, R.; Cermak, J.; Fuchs, J.; Andersen, H. (2020). Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning. Journal of geophysical research / D, 125 (4), Art.e2019JD031380. doi:10.1029/2019JD031380  

Wagner, P.; Riese, F. M.; Keller, S. (2020). CAOS Sentinel-2 Pipeline in Python. doi:10.5281/zenodo.3879622 

Weinmann, M.; Jäger, M. A.; Wursthorn, S.; Jutzi, B.; Weinmann, M.; Hübner, P. (2020). 3D Indoor Mapping with the Microsoft HoloLens: Qualitative and Quantitative Evaluation by Means of Geometric Features. ISPRS annals, V-1-2020, 165–172. doi:10.5194/isprs-annals-V-1-2020-165-2020  

Westerhuis, S.; Fuhrer, O.; Cermak, J.; Eugster, W. (2020). Identifying the key challenges for fog and low stratus forecasting in complex terrain. Quarterly journal of the Royal Meteorological Society, 146 (732), 3347–3367. doi:10.1002/qj.3849 

Woollam, J.; Rietbrock, A.; Leitloff, J.; Hinz, S. (2020). HEX: Hyperbolic Event eXtractor, a Seismic Phase Associator for Highly Active Seismic Regions. Seismological research letters, 91 (5), 2769–2778. doi:10.1785/0220200037 

Adler, B.; Babić, K.; Kalthoff, N.; Lohou, F.; Lothon, M.; Dione, C.; Pedruzo-Bagazgoitia, X.; Andersen, H. (2019). Nocturnal low-level clouds in the atmospheric boundary layer over southern West Africa: an observation-based analysis of conditions and processes. Atmospheric chemistry and physics, 19 (1), 663–681. doi:10.5194/acp-19-663-2019  

Andersen, H.; Cermak, J.; Solodovnik, I.; Lelli, L.; Vogt, R. (2019). Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations. Atmospheric chemistry and physics, 19 (7), 4383–4392. doi:10.5194/acp-19-4383-2019  

Babić, K.; Adler, B.; Kalthoff, N.; Andersen, H.; Dione, C.; Lohou, F.; Lothon, M.; Pedruzo-Bagazgoitia, X. (2019). The observed diurnal cycle of low-level stratus clouds over southern West Africa: a case study. Atmospheric chemistry and physics, 19 (2), 1281–1299. doi:10.5194/acp-19-1281-2019  

Benz, S.; Park, H.; Li, J.; Crawl, D.; Block, J.; Nguyen, M.; Altintas, I. (2019). Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. 15th International Conference on eScience (eScience), 243–251, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eScience.2019.00034 

Boldt, M.; Thiele, A.; Schulz, K.; Meyer, F. J.; Hinz, S. (2019). Practical approach for synthetic aperture radar change analysis in urban environments. Journal of applied remote sensing, 13 (03), Article: 0345281. doi:10.1117/1.JRS.13.034528  

Bradley, P. E. (2019). Methodology for the sequence analysis of building stocks. Building research and information, 47 (2), 141–155. doi:10.1080/09613218.2018.1380343 

Bradley, P. E. (2019). On the Logistic Behaviour of the Topological Ultrametricity of Data. Journal of classification, 36 (2), 266–276. 

Bradley, P. E.; Behnisch, M. (2019). Heavy-tailed distributions for building stock data. Environment and planning / B, 46 (7), 1281–1296. doi:10.1177/2399808318794499 

Erdnüß, B. (2019). Calibration and synchronization of geospatial metadata for aerial sensor systems. Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII. Ed.: I. Kadar, Art.-Nr.: 1101819, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2518905 

Fuchs, S.; Hilgert, S.; Sotiri, K.; Wagner, A.; Ishikawa, M.; Kern, J.; Jirka, S.; Klassen, I.; Krumm, J.; Malewski, C.; Rohr, H.; Pakzad, K. (2019). Sustainable management of reservoirs - defining minimum data needs and model complexity. GRoW- Water as a Global Resource, Status Seminar 2019, Frankfurt. MuDak-WRM: Multidisciplinary data acquisition as key for a globally applicable water resource management, 12–15, adelphi. 

Giovanella, A.; Bradley, P. E.; Wursthorn, S. (2019). Evaluation of Topological Consistency in CityGML. ISPRS International Journal of Geo-Information, 8 (6), Article: 278. doi:10.3390/ijgi8060278  

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 

Hillemann, M.; Meidow, J.; Jutzi, B. (2019). Impact of different trajectories on extrinsic self-calibration for vehicle-based mobile laser scanning systems. The international archives of photogrammetry, remote sensing and spatial information sciences, XLII-2/W16, 119–125. doi:10.5194/isprs-archives-XLII-2-W16-119-2019  

Hillemann, M.; Weinmann, M.; Mueller, M. S.; Jutzi, B. (2019). Automatic Extrinsic Self-Calibration of Mobile Mapping Systems Based on Geometric 3D Features. Remote sensing, 11 (16), Article: 1955. doi:10.3390/rs11161955  

Hübner, P.; Landgraf, S.; Weinmann, M.; Wursthorn, S. (2019). Evaluation of the Microsoft HoloLens for the Mapping of Indoor Building Environments. 39. Wissenschaftlich-Technische Jahrestagung der DGPF - Dreiländertagung OVG – DGPF – SGPF - Photogrammetrie - Fernerkundung - Geoinformation, Wien, 20 - 22. Februar 2019. Ed. T. B. Kersten, 44–53, Deutsche Gesellschaft für Photogrammetrie. 

Ilehag, R.; Schenk, A.; Huang, Y.; Hinz, S. (2019). KLUM: An urban VNIR and SWIR spectral library consisting of building materials. Remote sensing, 11 (18), Article: 2149. doi:10.3390/rs11182149