3DGeo Research Group Heidelberg

The #HELIOS++ user community is continuously growing. 🤝 Let's spotlight some outstanding contributions from our colleagues worldwide who use HELIOS++ for method development and for #DeepLearning. 🤩 ➡️ HELIOS++ for algorithm development - Cai et al. (2024): Branch architecture quantification of large-scale coniferous forest plots using UAV-LiDAR data https://lnkd.in/eMrjaGV6 Xinlian Liang ➡️ HELIOS++ to generate training data for deep learning - Noichl et al. (2024): Enhancing point cloud semantic segmentation in the data-scarce domain of industrial plants through synthetic data https://lnkd.in/eceWWyJ6 Florian Noichl, Fiona Collins, Alexander Braun, André Borrmann Technical University of Munich - Bornand et al. (2024): Completing 3D point clouds of individual trees using deep learning https://lnkd.in/eNvgqRS9 Eidg. Forschungsanstalt WSL & University of Zurich ➡️ HELIOS++ as part of a synthetic data generation pipeline - Tang et al. (2024): TreeNet3D : A large scale tree benchmark for 3D tree modeling, carbon storage estimation and tree segmentation https://lnkd.in/e3WbH8T6 📑 Check them out! #3DGeo #DFG #sustainableHELIOS #opensource #OpenSourceSoftware #ResearchSoftware As part of our new project, we will be continuously working on quality improvement & community building over the next few years, together with the Scientific Software Center (SSC, IWR) at Heidelberg University ✨ Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation 🌐 HELIOS++ Website: https://lnkd.in/eCtHXmgP 🔗 Sustainable HELIOS++: https://lnkd.in/eHeR-srC 💻 GitHub: https://lnkd.in/dHDZeVSG 🔗 SSC: https://lnkd.in/e2SVGMuE

📚 3DGeo teaching in winter 2024/25 – part II 🎓 In addition to our core #3DGeo courses (https://lnkd.in/eQW4-zhK), our #3DGeoteaching portfolio includes seminars on #climatechange, #transdisciplinarity and #transfer in #ScienceCommunication and #education: 🔗 TdLab Geographie: https://lnkd.in/e2ZurVXD 1️⃣ Klimaphysik meets Bildung für nachhaltige Entwicklung (#BNE) – Climate Physics meets Education for Sustainable Development (ESD) by Nicole Aeschbach in cooperation with the Heidelberg School of Education and Werner Aeschbach (Institute of Environmental Physics, Heidelberg University). 🔎 This seminar combines the acquisition of knowledge about climate change based on a strong #STEM foundation with transformative skills in science communication and the concept of Education for Sustainable Development (#ESD). The course can be taken in B.Sc., M.Sc. and M.Ed. modules and includes the design of a digital unit as a final project. (Photo by Werner Aeschbach) 2️⃣ Forschungskolloquium TdLab Geographie – Research colloquium #TdLabGeography by Nicole Aeschbach in cooperation with Kathrin Foshag. 🔎 Within the framework of this #research colloquium, we discuss current B.Sc., M.Sc. and M.Ed. theses on topics related to climate change #mitigation and #adaptation, transdisciplinarity and education. Students receive advice on content and methodology, benefit from mutual exchange, and present their results. Fachschaft Geographie Heidelberg

🚆 Conference Recap 🌍 Daniel Schröder (Hochschule Bochum - Bochum University of Applied Sciences), along with Ronald Tabernig (#3DGeo) and Yihui Yang (Technical University of Munich), gave an update on the #BMBF project AImon5.0 at this year's #DigitalGreenTech conference in #Berlin. 🌱 💻 The discussions once again highlighted the importance of our monitoring solutions in addressing today's #climatechange challenges in a targeted and preventative way. 💪 🌐 https://lnkd.in/eNy8ZNx8 🔗 https://lnkd.in/e-ZTS9fX #3DGeo #AIMon 🤝 AImon5.0 is a cooperation project between Heidelberg University (Bernhard Höfle), the DMT GROUP, Hochschule Bochum - Bochum University of Applied Sciences (Daniel Schröder) and the Technical University of Munich (Christoph Holst) and is funded by the Federal Ministry of Education and Research, Germany (Digital GreenTech).

🌍💻 AImon5.0 auf der Digital Greentech Konferenz in Berlin 💡 Zusammen mit Yihui Yang (Technische Universität München) und Ronald Taberning (3DGeo Research Group Heidelberg) haben wir auf der diesjährigen #DigitalGreenTech Konferenz in Berlin den aktuellen Stand unseres #BMBF Projekts AImon5.0 präsentiert. In wertvollen Diskussionen wurde deutlich, wie bedeutend unsere Monitoringlösungen sind, um gezielt und präventiv den aktuellen Herausforderungen des Klimawandels zu begegnen. Ein herzliches Dankeschön an alle Teilnehmenden für den inspirierenden Austausch und die spannenden Einblicke! AImon5.0 ist ein Kooperationsprojekt von der Universität Heidelberg (Bernhard Höfle), der DMT GROUP, Hochschule Bochum - Bochum University of Applied Sciences (Daniel Czerwonka-Schröder) und der Technische Universität München (Christoph Holst) und wird gefördert durch das Bundesministerium für Bildung und Forschung (Digital GreenTech). ------------------------------------------------------------------------------------ 🌍💻 AImon5.0 at the Digital Greentech Conference in Berlin 💡 Together with Yihui Yang (Technical University of Munich) and Ronald Taberning (3DGeo Research Group Heidelberg), we presented the current status of our BMBF project AImon5.0 at this year's DigitalGreenTech conference in Berlin. Valuable discussions made it clear how important our monitoring solutions are for tackling the current challenges of climate change in a targeted and preventative manner. A big thank you to all participants for the inspiring exchange and the exciting insights! AImon5.0 is a cooperation project between the University of Heidelberg (Bernhard Höfle), the DMT GROUP, Bochum University of Applied Sciences (Daniel Czerwonka-Schröder) and the Technical University of Munich (Christoph Holst) and is funded by the Federal Ministry of Education and Research (Digital GreenTech).

📊 Geography Awareness Week: Mach dich fit für die Klimadatenanalyse! 📊 (German Event) Im Rahmen der #GeographyAwarenessWeek (11.-22. November) lädt die 3DGeo-Gruppe herzlich zum Webinar „Climate Data Workout: Bist du fit in der Analyse von Informationen rund um die #Klimakrise?“ ein. Nicole Aeschbach wird dabei in das Konzept der Critical Literacy for Climate Action einführen und ein interaktives Training sowie eine Auswahl an digitalen, frei zugänglichen Lernmaterialien vorstellen. 📅 Wann? Freitag, 15.11.2024, 11:00–12:00 Uhr 👩🏫 Wer? Dr. Nicole Aeschbach, 3DGeo Research Group, Universität Heidelberg und Heidelberg School of Education 💻 Wo? Online via Zoom: https://lnkd.in/evb3fzBf - Meeting-ID: 860 2853 1986, Kenncode: 199246 #GAW #GeographicLiteracy #ClimateLiteracy #ClimateAction #empowerment #futureskills #3DGeo #3dgeoteaching Bildnachweis: DALL·E; prompt: Nicole Aeschbach Heidelberg School of Education Fachschaft Geographie Heidelberg

📚 3DGeo teaching in winter 2024/25 🎓 In addition to #research, #teaching is an integral part of the 3DGeo group's activities. Let us introduce you to the courses we offer in the winter term 2024/25. 1️⃣ Geodatenerfassung - Geodata acquisition (lecture and exercise) 2️⃣ #LiDAR in #Geography (lecture and exercise) 3️⃣ Digital Twins für die Analyse von Naturgefahren am Beispiel von Felsstürzen - Digital Twins for the analysis of natural hazards using the example of rockfalls (exercise) 4️⃣ Wald in der Krise - Forests in Crisis (exercise) 5️⃣ 3DGeo Forschungsseminar - 3DGeo Research Seminar (seminar) #3dgeo #3dgeoteaching #research Heidelberg University Fachschaft Geographie Heidelberg

🆕GRSS Article of the Week 📰Journal: IEEE Geoscience and Remote Sensing Magazine 👉Title: Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art ✍Authors: Pedram Ghamisi , Behnood Rasti , Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson and Jon Atli Benediktsson 📎DOI: https://lnkd.in/ezcwyayK #remotesensing #ai #earthobservation #grsspublications #ieeexplore #ieeegrss

📢 Paper alert: CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography 📰 Using a #CNN pre-trained on the ImageNet dataset, we investigated  ➡ the performance of CNNs compared to #RandomForest models, ➡ the influence of the number of training samples, and ➡ the benefit of additional pre-training on synthetic data from #LiDARSimulation (#HELIOS++) Curious? Read more here: https://lnkd.in/eSrn3qwN Paper led by Jannika Schäfer Team: Lukas Winiwarter Hannah Weiser Sebastian Schmidtlein Jan Novotny Krzysztof Stereńczak Markus Hollaus Fabian Fassnacht #VirtualLaserScanning #VLS #HELIOS #3DGeo #SYSSIFOSS #DFG #AbovegroundBiomass #AGB #AirborneLaserScanning #DeepLearning Further info: 🔗 HELIOS++ LiDAR Simulator: https://lnkd.in/eCtHXmgP 🔗 SYSSIFOSS project: https://lnkd.in/egMFswQF 🔗 Individual tree point cloud database: https://lnkd.in/eE9NEVAv

📢 Paper alert: CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography 📰 Using a #CNN pre-trained on the ImageNet dataset, we investigated  ➡ the performance of CNNs compared to #RandomForest models, ➡ the influence of the number of training samples, and ➡ the benefit of additional pre-training on synthetic data from #LiDARSimulation (#HELIOS++) Curious? Read more here: https://lnkd.in/eSrn3qwN Paper led by Jannika Schäfer Team: Lukas Winiwarter Hannah Weiser Sebastian Schmidtlein Jan Novotny Krzysztof Stereńczak Markus Hollaus Fabian Fassnacht #VirtualLaserScanning #VLS #HELIOS #3DGeo #SYSSIFOSS #DFG #AbovegroundBiomass #AGB #AirborneLaserScanning #DeepLearning Further info: 🔗 HELIOS++ LiDAR Simulator: https://lnkd.in/eCtHXmgP 🔗 SYSSIFOSS project: https://lnkd.in/egMFswQF 🔗 Individual tree point cloud database: https://lnkd.in/eE9NEVAv

🚀 Project Kickoff! 🚀 We have just started a new research project led by TUM Remote Sensing Applications (#TUMRSA, Katharina Anders) and in collaboration with the Scientific Software Center (IWR, Heidelberg University): 🔎 #Extract4D: Generalized extraction of surface dynamics from multimodal 4D point clouds for topographic monitoring of Earth surface processes and their interactions Find out more about Extract4D on these pages: 🔗 Blogpost: https://lnkd.in/eGf2Zrsm 🌐 Website (3DGeo): https://lnkd.in/em-kyZXi 🌐 Website (TUM): https://lnkd.in/exvb4bEK Technical University of Munich Interdisciplinary Center for Scientific Computing, Heidelberg University (IWR) Project funded by the Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation – project number 535733258. ▶ Team: Katharina Anders Mathilde Letard Jiapan Wang Dominic Kempf Ronald Tabernig Hannah Weiser Bernhard Höfle 🤝 Collaborators: Anette Eltner (Technische Universität Dresden) Sierd de Vries (TU Delft | Civil Engineering and Geosciences) Dimitri Lague (Géosciences Rennes, Université de Rennes I) Roderik Lindenbergh (TU Delft | Civil Engineering and Geosciences) #4DOBC #TimeSeriesAnalysis #ChangeAnalysis #4Dpointclouds #HELIOS #VirtualLaserScanning #LiDARSimulation #py4dgeo #OpenSourceSoftware #3DGeo