{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T06:26:27Z","timestamp":1761719187427,"version":"build-2065373602"},"reference-count":44,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T00:00:00Z","timestamp":1675382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Publication Fund of the TU Bergakademie Freiberg","award":["397252409"],"award-info":[{"award-number":["397252409"]}]},{"name":"Saxon state parliament and the European social fund","award":["397252409"],"award-info":[{"award-number":["397252409"]}]},{"name":"Faculty of Mathematics and Computer Science of Technische Universit\u00e4t Bergakademie Freiberg","award":["397252409"],"award-info":[{"award-number":["397252409"]}]},{"name":"Deutsche Forschungsgemeinschaft (DFG)","award":["397252409"],"award-info":[{"award-number":["397252409"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Climate change poses special and new challenges to inland waters, requiring intensive monitoring. An application based on an autonomous operation swimming vehicle (ASV) is being developed that will provide simulations, spatially and depth-resolved water parameter monitoring, bathymetry detection, and respiration measurement. A clustered load system is integrated with a high-resolution sonar system and compared with underwater photogrammetry objects. Additionally, a holistic 3D survey of the water body above and below the water surface is generated. The collected data are used for a simulation environment to train artificial intelligence (AI) in virtual reality (VR). These algorithms are used to improve the autonomous control of the ASV. In addition, possibilities of augmented reality (AR) can be used to visualize the data of the measurements and to use them for future ASV assistance systems. The results of the investigation into a flooded quarry are explained and discussed. There is a comprehensive, high-potential, simple, and rapid monitoring method for inland waters that is suitable for a wide range of scientific investigations and commercial uses due to climate change, simulation, monitoring, analyses, and work preparation.<\/jats:p>","DOI":"10.3390\/rs15030860","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T05:29:05Z","timestamp":1675661345000},"page":"860","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7725-1295","authenticated-orcid":false,"given":"Sebastian","family":"Pose","sequence":"first","affiliation":[{"name":"Scientific Diving Center, Freiberg University of Mining and Technology, Gustav Zeuner Stra\u00dfe 7, 09599 Freiberg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0283-8272","authenticated-orcid":false,"given":"Stefan","family":"Reitmann","sequence":"additional","affiliation":[{"name":"Institute of Informatics, Freiberg University of Mining and Technology, Bernhard-von-Cotta-Stra\u00dfe 2, 09599 Freiberg, Germany"}]},{"given":"Gero J\u00f6rn","family":"Licht","sequence":"additional","affiliation":[{"name":"Institute of Informatics, Freiberg University of Mining and Technology, Bernhard-von-Cotta-Stra\u00dfe 2, 09599 Freiberg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4235-5494","authenticated-orcid":false,"given":"Thomas","family":"Grab","sequence":"additional","affiliation":[{"name":"Scientific Diving Center, Freiberg University of Mining and Technology, Gustav Zeuner Stra\u00dfe 7, 09599 Freiberg, Germany"}]},{"given":"Tobias","family":"Fieback","sequence":"additional","affiliation":[{"name":"Scientific Diving Center, Freiberg University of Mining and Technology, Gustav Zeuner Stra\u00dfe 7, 09599 Freiberg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,3]]},"reference":[{"key":"ref_1","unstructured":"FAZ (2022, January 31). Deutscher Wetterdienst Best\u00e4tigt neuen Hitzerekord von 42.6 Grad. Available online: https:\/\/www.faz.net\/aktuell\/gesellschaft\/deutscher-wetterdienst-bestaetigt-neuen-hitzerekord-von-42-6-grad-16303898.html."},{"key":"ref_2","unstructured":"European Commission (2000). Water Framework Directive 2000\/60\/EC. Off. J. Eur. Communities, L269, 1\u201315."},{"key":"ref_3","unstructured":"(1985). Deutsche Norm. German Standard Methods for the Examination of Water, Waste Water and Sludge; General Information (Group A); Sampling from Barrages and Lakes (A 12) (Standard No. DIN 38402-12:1985-06)."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Ziemi\u0144ska-Stolarska, A., Imbierowicz, M., Jaskulski, M., Szmidt, A., and Zbici\u0144ski, I. (2019). Continuous and periodic monitoring system of surface water quality of an impounding reservoir: Sulejow reservoir, Poland. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16030301"},{"key":"ref_5","first-page":"1","article-title":"Treatment of acid mine lakes\u2013Lab and field studies","volume":"29","author":"Schipek","year":"2011","journal-title":"FOG Freib. Online Geosci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.chemer.2016.04.002","article-title":"Greenhouse gas emissions from soils\u2014A review","volume":"76","author":"Oertel","year":"2016","journal-title":"Geochemistry"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.earscirev.2018.11.012","article-title":"Emissions from dry inland waters are a blind spot in the global carbon cycle","volume":"188","author":"Obrador","year":"2019","journal-title":"Earth Sci. Rev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1080\/1023697X.2015.1038322","article-title":"Hybrid underwater robotic vehicles: The state-of-the-art and future trends","volume":"22","author":"Xiang","year":"2015","journal-title":"HKIE Trans. Hong Kong Inst. Eng."},{"key":"ref_9","unstructured":"DVW-Gesellschaft f\u00fcr Geodasie Geoinformation und Landmanagement (2018). Hydrographie 2018\u2013Trend zu Unbemannten Messsystemen, Wi\u00dfner-Verlag."},{"key":"ref_10","unstructured":"Nakagawa, M. (2018). Recent Applications in Data Clustering, IntechOpen."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kisner, H., and Thomas, U. (2018, January 27\u201329). Segmentation of 3D Point Clouds using a New Spectral Clustering Algorithm without a-priori Knowledge. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP, Funchal, Portugal.","DOI":"10.5220\/0006549303150322"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., and Reddy, C.K. (2013). Data Clustering\u2013lgorithms and Applications, CRC Press.","DOI":"10.1201\/b15410"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Reitmann, S., Neumann, L., and Jung, B. (2021). Blainder\u2014A blender ai add-on for generation of semantically labeled depth-sensing data. Sensors, 21.","DOI":"10.3390\/s21062144"},{"key":"ref_14","unstructured":"Qi, C.R., Su, H., Mo, K., and Guibas, L.J. (2016, January 27\u201330). PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA."},{"key":"ref_15","unstructured":"Qi, C.R., Yi, L., Su, H., and Guibas, L.J. (2017). PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. Adv. Neural Inf. Process. Syst., 30."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2980179.2980238","article-title":"A Scalable Active Framework for Region Annotation in 3D Shape Collections","volume":"35","author":"Yi","year":"2016","journal-title":"ACM Trans. Graph. ToG"},{"key":"ref_17","first-page":"9","article-title":"Shallow water bathymetry mapping from UAV imagey based on machine learning","volume":"Volume 42","author":"Agrafiotis","year":"2019","journal-title":"Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences"},{"key":"ref_18","unstructured":"Gibs, J., Wilde, F.D., and Heckathorn, H.A. (2007). Use of Multiparameter Instruments for Routine Field Measurements (Ver. 1.1): U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9, Chapter A6, Section 6.8."},{"key":"ref_19","unstructured":"Hofmann, H., and Ostendorp, W. (2019). Seeufer: Wellen\u2013Erosion\u2013Schutz\u2013Renaturierung: Handlungsempfehlungen f\u00fcr den Gew\u00e4sserschutz: Ergebnisse aus dem ReWaM-Verbundprojekt HyMoBioStrategie (2015\u20132018), KOPS Universit\u00e4t Konstanz."},{"key":"ref_20","unstructured":"Degel, C. (2019). FactSheet HydroCrawler, Fraunhofer Institut f\u00fcr Biomedizinische Technik (IBMT) Joseph-von-Fraunhofer-Weg. Technical Report."},{"key":"ref_21","first-page":"221","article-title":"Herausforderungen der \u00f6kohydrologischen Forschung in Deutschland","volume":"58","author":"Schaik","year":"2014","journal-title":"Hydrol. Wasserbewirtsch."},{"key":"ref_22","unstructured":"Krebs, P. (2019). FactSheet BOOT-Monitoring, Technische Universit\u00e4t Dresden. Technical Report."},{"key":"ref_23","unstructured":"Wehmeyer, D. (2019). FactSheet RiverBoat, Forschungsinstitut f\u00fcr Wasser-und Abfallwirtschaft an der RWTH Aachen (FiW) e. V. Kackertstr. Technical Report."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Kapetanovi\u0107, N., Vasilijevi\u0107, A., Na\u0111, \u0110., Zub\u010di\u0107, K., and Mi\u0161kovi\u0107, N. (2020). Marine robots mapping the present and the past: Unraveling the secrets of the deep. Remote Sens., 12.","DOI":"10.3390\/rs12233902"},{"key":"ref_25","first-page":"5","article-title":"Compact, large aperture 2D deflection optic for LiDAR underwater applications","volume":"12263","author":"Gangelhoff","year":"2022","journal-title":"SPIE Int. Soc. Opt. Eng."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Dun, M., and Grinham, A. (2010, January 3\u20137). Experimental evaluation of an Autonomous Surface Vehicle for water quality and greenhouse gas emission monitoring. Proceedings of the 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, USA.","DOI":"10.1109\/ROBOT.2010.5509187"},{"key":"ref_27","unstructured":"(2020). Robotic Subsea Exploration Technologies | ROBUST Project | Fact Sheet | H2020, CORDIS European Commission."},{"key":"ref_28","unstructured":"Edson, E.C., and Patterson, M.R. (2016). Proceedings of the OCEANS 2015\u2013MTS\/IEEE Washington, Institute of Electrical and Electronics Engineers Inc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1108\/02602281211197116","article-title":"A review of in situ\/IT methods and sensors for monitoring the marine environment","volume":"32","author":"Mills","year":"2012","journal-title":"Sens. Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.egypro.2017.03.1138","article-title":"A Multitiered Approach for Monitoring Water Quality","volume":"Volume 112","author":"Polonschii","year":"2017","journal-title":"Proceedings of the Energy Procedia"},{"key":"ref_31","unstructured":"Miles, E.J. (2009). Guidelines Shallow Water Quality Monitoring Continuous Monitoring Station: Selection, Assembly & Construction, Virginia Institute of Marine Science. Technical Report."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Reitmann, S., and Jung, B. (2022). Generating Synthetic Labeled Data of Animated Fish Swarms in 3D Worlds with Particle Systems and Virtual Sound Wave Sensors, Springer International Publishing.","DOI":"10.1007\/978-3-031-20875-1_12"},{"key":"ref_33","unstructured":"Dreier, O., G\u00fcth, F., and Joseph, Y. (2021). Proceedings of the Poster, AMA Service GmbH."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2724","DOI":"10.1002\/joc.4166","article-title":"Projected changes in extreme precipitation characteristics for Central Eastern Germany (21st century, model-based analysis)","volume":"35","author":"Schwarzak","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_35","unstructured":"Jarosch, L., Pose, S., Reitmann, S., Dreier, O., Licht, G., and R\u00f6der, E. (2020). Roboter f\u00fcr das Wasser der Zukunft. WWT Wasserwirtsch. Wassertech., 66\u201369."},{"key":"ref_36","unstructured":"Scientific Diving Center TU Bergakademie Freiberg (2021). Training of Scientific Divers | TU Bergakademie Freiberg, Scientific Diving Center TU Bergakademie Freiberg."},{"key":"ref_37","first-page":"32","article-title":"RoBiMo\u2014The tasks of scientific divers for robot-assisted fresh-water monitoring","volume":"58","author":"Pose","year":"2021","journal-title":"Freib. Online Geosci. Spec. Vol. Proc. 6th Eur. Conf. Sci. Diving"},{"key":"ref_38","unstructured":"Agisoft (2023, January 28). AgiSoft Metashape Professional (Version 1.7.4) (Software). Available online: https:\/\/www.agisoft.com\/."},{"key":"ref_39","unstructured":"QPS (2023, January 28). Qinsy 9. Available online: https:\/\/www.qps.nl\/qinsy\/#."},{"key":"ref_40","unstructured":"Reitmann, S., Kudryashova, E.V., Jung, B., and Reitmann, V. (2021). Proceedings of the IFIP International Conference on Artificial Intelligence Applications and Innovations, Springer."},{"key":"ref_41","unstructured":"Richter, F., Reitmann, S., and Jung, B. (2022). Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations, ICVARS \u201922, Association for Computing Machinery."},{"key":"ref_42","unstructured":"Kersten, T.P., Wolf, J.T., and Lindstaedt, M. (2022). Beitrag Oldenburger 3D-Tage, Wichmann."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Akkaynak, D., and Treibitz, T. (2019, January 16\u201320). Sea-THRU: A method for removing water from underwater images. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA.","DOI":"10.1109\/CVPR.2019.00178"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Shortis, M. (2019). Camera Calibration Techniques for Accurate Measurement Underwater, Springer Nature Switzerland AG.","DOI":"10.1007\/978-3-030-03635-5_2"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/3\/860\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:23:41Z","timestamp":1760120621000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/3\/860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,3]]},"references-count":44,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["rs15030860"],"URL":"https:\/\/doi.org\/10.3390\/rs15030860","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2023,2,3]]}}}