We're excited to share an opportunity to join the FREE online PolInSAR course, organised by ESA and our team members! Applications are open until 11th October 2024.
DLR Microwaves and Radar Institute
Forschungsdienstleistungen
Oberpfaffenhofen, Bayern 2.818 Follower:innen
Info
The Microwaves and Radar Institute of DLR has an end-to-end system expertise on passive and active microwave sensors, techniques, signal processing and applications for ground-, air- and satellite-based remote sensing. Its research focuses on synthetic aperture radar (SAR), including the concept and development of new satellite missions and applications. A prominent example is TanDEM-X: Since 2010, two satellites in close formation flight have been building a large radar interferometer in space and have generated a global, digital elevation model of the Earth with unprecedented accuracy. In addition to the national SAR missions TerraSAR-X and TanDEM-X, the Institute is involved in several scientific programs and space projects such as Sentinel-1, BIOMASS, ROSE-L, Harmony, Sentinel-1NG, SAR-Lupe, SARah, PAZ, Kompsat-6, VERITAS and Envision. Institute’s Mission: To shape the future of Synthetic Aperture Radar (SAR). Technology transfer and the education of young scientists in the form of internships as well as bachelor’s, master's and doctoral theses are another essential parts of the Institute's mission. Imprint: https://www.dlr.de/EN/Service/Imprint/imprint_node.html Data protection: https://www.dlr.de/EN/Service/PrivacyPolicy/privacypolicy_node.html
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www.dlr.de/HR
Externer Link zu DLR Microwaves and Radar Institute
- Branche
- Forschungsdienstleistungen
- Größe
- 51–200 Beschäftigte
- Hauptsitz
- Oberpfaffenhofen, Bayern
- Spezialgebiete
- Radar Remote Sensing, Synthetic Aperture Radar und Space Radar Missions
Updates
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Congratulations to Dr. Sumin Kim for receiving a Young Scientist Award at the Kleinheubacher Tagung 2024! He was recognised for his excellent work on “Volume Structure Retrieval over Vegetated Areas Using a Pair of Synthetic Aperture Radar Images with Wide Fractional Bandwidth”. We wish him all the best for his future career! (See all award winners and members of the award committee in the photo, with Dr. Sumin Kim, fifth person from the left in the front row.)
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Congratulations, dear Nour Maalouf, for completing your Master's degree in Communication and Information Technology from Ulm University! We are especially proud you chose to conduct your master’s thesis at our Institute and look forward to seeing your continued success!
🎓 I am thrilled to announce that I have officially completed my Master's degree in Communication and Information Technology with a specialisation in Communications Engineering from Ulm University! This journey has been an incredible mixture of learning, growth, and resilience, that shaped both my professional and personal identity. The highlight of this was conducting my master's thesis at the DLR Microwaves and Radar Institute, where I studied the effects of uncompensated motion errors in UAV-based SAR systems. I am deeply grateful to my supervisors, Dr. Michelangelo Villano and Víctor Mustieles Pérez, for their mentorship and support, which were instrumental in helping me achieve the goals we set out to accomplish. My sincere thanks also go to the NewSpace SAR Research Group for welcoming me as one of their own and for the invaluable lessons I learned from each and every one of you. I would also like to extend my deep appreciation to the DLR Microwaves and Radar Institute for providing an excellent environment to conduct this research, and to my professors at Ulm University for their guidance throughout my academic journey. Lastly, a big thank you to my friends and family for their constant support and encouragement throughout this journey, during both the highs and the lows. As I look ahead, I am eager to embark on the next chapter, particularly in Greater Munich Metropolitan Area, where I'm open to exploring new opportunities in the fields of navigation systems, communications and radar technology. #opentowork #navigationsystems #telecommunication #radars
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Congratulations to Professor Irena Hajnsek on her remarkable achievements and recognition as this September’s DLRWS Scientist! Since 2001, Irena has led the Polarimetric SAR Interferometry group at DLR Microwaves and Radar Institute, advancing innovative bio/geo-physical inversion models for environmental monitoring using multi-parameter SAR data. Her pioneering work in radar remote sensing spans the hydrosphere, biosphere, and cryosphere, setting global standards. Irena continues to push the boundaries of Earth Observation and inspire the next generation of women researchers through mentoring and leadership. Congratulations, Irena! #EarthObservation #SAR #RemoteSensing #WomenInScience #ClimateScience
Irena Hajnsek has successfully headed the Polarimetric SAR Interferometry (Pol-InSAR) group at our DLR Microwaves and Radar Institute since 2001. Her scientific focus is on the development of bio/geo-physical inversion models for the determination of environmental parameters from multi-parameter #SAR data. She started her work with the development of inversion models for the determination of near-surface soil moisture from polarimetric SAR (Synthetic Aperture Radar). To this end, she developed a fully polarimetric coherent model for inversion, which is still unique today. Over the years, she has expanded her focus to include a variety of topics in the hydrosphere, biosphere and cryosphere. To demonstrate and verify the developed algorithms, airborne (DLR's F-SAR) and ground-based (ETH's KAPRI) #radardata collected during experimental campaigns are used. Irena has conducted many of these campaigns worldwide and used these data to extend and verify her algorithms. The idea for the development of polarimetric SAR interferometry was born at the HR Institute and it was only with the founding of Irena's research group that it gained a globally recognized and leading position in the scientific work on the analysis of its potential and the validation of different methods. Her expertise is recognized in international scientific circles and has led to her being a regular reviewer for international organizations, an Associated Editor of IEEE journals and being consulted in European committees of European Space Agency - ESA and international UN organizations. Since 2009, she has been involved in teaching and research as a Professor of Earth Observation and Radar Remote Sensing at the Institute of Environmental Engineering at ETH Zürich in Switzerland. She gives a main lecture on earth observation in the Department of Civil, Environmental and Geomatic Engineering and leads a research group using innovative multi-modal #radar imaging modes to derive environmental parameters. Young #womenresearchers are particularly important to her, which is why she is intensively involved as a mentor in the Helmholtz-Gemeinschaft, the Geoscience and Remote Sensing Society of IEEE and ETH. Since 2010, she has also been the scientific coordinator of the German radar mission TanDEM-X and was involved in the conception of satellite missions. She has been involved in various radar #satellite concepts (Tandem-L, CoReH2O, SKADI, Rose-L) and works as a consultant at ESA. Irena will be awarded an honorary doctorate from the Universitetet i Oslo (UiO) | University of Oslo in September 2024 and is this September's DLRWS Scientist, voted by our "DLR Women Scientists' Network", which nominates a researcher as #womanscientist every month.
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𝐃𝐨𝐜𝐭𝐨𝐫 𝐇𝐨𝐧𝐨𝐫𝐢𝐬 𝐂𝐚𝐮𝐬𝐚 𝐛𝐲 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐎𝐬𝐥𝐨 𝐟𝐨𝐫 𝐏𝐫𝐨𝐟. 𝐃𝐫. 𝐈𝐫𝐞𝐧𝐚 𝐇𝐚𝐣𝐧𝐬𝐞𝐤 We are excited to announce that Professor Irena Hajnsek has been awarded an honorary doctorate by the University of Oslo in recognition of her exceptional contributions to Earth Observation and Remote Sensing! As the head of the Polarimetric Radar Interferometry research group at our Institute and a Professor of Earth Observation and Radar Remote Sensing at ETH Zürich in Switzerland, Irena has been a leader in environmental sensing. Her groundbreaking work, particularly with polarimetric SAR, has set new standards in the field and significantly advanced our understanding of critical climate challenges, such as the drastic changes occurring in glaciers. We are proud to celebrate Irena's Doctor Honoris Causa and her incredible achievements! Congratulations, Irena! https://lnkd.in/gNHkNK8T
Dr. Irena Hajnsek, appointed Honorary Doctor at University of Oslo - Department of Geosciences
mn.uio.no
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DLR Microwaves and Radar Institute hat dies direkt geteilt
𝗧𝗮𝗸𝗲 𝗮 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗹𝗶𝗴𝗵𝘁 𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗢𝗹𝘆𝗺𝗽𝗶𝗰 𝗩𝗲𝗻𝘂𝗲𝘀 The 2024 Olympic Games will be held in France from July 26 to August 11, 2024, featuring unique venues in major cities across the country. The Microwaves and Radar Institute is showcasing these venues from space using SAR images captured by our radar satellites TerraSAR-X and TanDEM-X. On a virtual flight, you can explore Paris in detail, observing changes in the city before and after Olympic preparations through 'Staring Spotlight Mode' images. To experience the virtual flight, please visit: https://lnkd.in/deA4t6VX #Olympics #Paris2024 #EarthObservation #SARsystems
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𝗧𝗮𝗸𝗲 𝗮 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗹𝗶𝗴𝗵𝘁 𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗢𝗹𝘆𝗺𝗽𝗶𝗰 𝗩𝗲𝗻𝘂𝗲𝘀 The 2024 Olympic Games will be held in France from July 26 to August 11, 2024, featuring unique venues in major cities across the country. The Microwaves and Radar Institute is showcasing these venues from space using SAR images captured by our radar satellites TerraSAR-X and TanDEM-X. On a virtual flight, you can explore Paris in detail, observing changes in the city before and after Olympic preparations through 'Staring Spotlight Mode' images. To experience the virtual flight, please visit: https://lnkd.in/deA4t6VX #Olympics #Paris2024 #EarthObservation #SARsystems
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𝗗𝗟𝗥 𝗔𝗶𝗿𝗯𝗼𝗿𝗻𝗲 𝗥𝗮𝗱𝗮𝗿 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗮𝘁 𝘁𝗵𝗲 𝗔𝗹𝗲𝘁𝘀𝗰𝗵 𝗚𝗹𝗮𝗰𝗶𝗲𝗿: 𝗙𝗶𝗿𝘀𝘁 𝗽𝗼𝗹𝗮𝗿𝗶𝗺𝗲𝘁𝗿𝗶𝗰 𝗦𝗔𝗥 𝗶𝗺𝗮𝗴𝗲𝘀 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! The objective of this DLR campaign, conducted between February 26 and March 26, 2024, at the Aletsch glacier in Switzerland in collaboration with researchers from FAU Erlangen, BAdW Munich, and TU Munich, was to characterize the properties of snow and ice at depths below the glacier surface with new imaging techniques. The airborne radar system, F-SAR, of the DLR Microwaves and Radar Institute was utilized for data collection, while on the ground, our Institute conducted crucial validation measurements of the snow and ice. The F-SAR sensor was utilized in five flights over the Aletsch glacier in Switzerland, which were successfully completed. The brief temporal span of the F-SAR data will permit the examination of the internal structure and layers of the glacier through the application of innovative processing and imaging techniques, including polarimetric SAR interferometry and tomography. Concurrently, differential SAR methods will facilitate the investigation of changing snow accumulation. A first polarimetric SAR image in L band acquired on March 25, 2024 demonstrates the intricate scattering mechanisms observed over a glacier. The green tones indicate volume scattering from below the surface, where the polarimetric SAR image reveals numerous crevasses, many of which are hidden below the snow cover. The blueish colors indicate a rather homogeneous structure of snow and ice, with more scattering at the glacier’s surface. During the aforementioned flights, which were conducted under extremely challenging conditions, ground-based activities were conducted with the objective of measuring the glacier, collecting data about snow accumulation for validation purposes, and setting up and maintaining corner reflectors for calibration. This collaborative endeavor is expected to yield insights that will enhance our comprehension of the properties and processes of snow and ice, which are particularly susceptible to the effects of global warming. Our work is related to the DLR’s Polar Monitor project and FAU’s International Doctorate Program M³OCCA. For more information on DLR’s airborne SAR system please refer to: https://lnkd.in/e6bf7-Ku More information on the FAU’s International Doctorate Program M³OCCA: https://lnkd.in/eq4_j-uv
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𝗦𝗢𝗣𝗛𝗢𝗦 - 𝗦𝗺𝗮𝗿𝘁 𝗼𝗻-𝗯𝗼𝗮𝗿𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗳𝗼𝗿 𝗲𝗮𝗿𝘁𝗵 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 The European Horizon Project, entitled "SOPHOS – Smart on-board processing for earth observation systems," commenced at the end of 2022 and is now approaching its mid-term review. A new generation of onboard processing and mass memory modules is being developed, interfaced, and tested up to the Technology Readiness Level (TRL) 8. The preliminary outcomes were presented at the end of April at the EUSAR conference in Munich-Garching in a joint poster contribution from all partners. In SOPHOS, the Microwaves and Radar Institute of DLR is responsible for defining the SAR use cases, deriving the requirements for onboard data handling (i.e., memory sizes, data rates, and computation times), and implementing prototypes for onboard SAR data compression and image formation algorithms. In the second phase of the project, these serve as the basis for algorithm optimization and integration into the SOPHOS demonstrator platform. the Microwaves and Radar Institute is engaged in optimization work, ensuring functional verification of the optimized implementation, and final validation of the processed data. For further information, please refer to the following link: https://sophoshorizon.eu/
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Congratulations to the team!
Application-oriented researcher at the German Aerospace Center (DLR) - Microwaves and Radar Institute (HR)
I am extremely excited to share with you that our latest work, "Generation of country-scale canopy height maps over Gabon using deep learning and TanDEM-X InSAR data", has been published in Remote Sensing of Environment. Many thanks to Dino Ienco (INRAE) and Lorenzo Bruzzone (UniTrento DISI) as well as to my collegues Paola Rizzoli, Jose Luis Bueso Bello and Luca Dell'Amore from the DLR Microwaves and Radar Institute for their invaluable contribution and for the great ongoing cooperation. In this work we propose a deep learning-based framework for the generation of canopy height maps at coutry scale. By relying only on individual TanDEM-X single-pass interferometric pairs as input, we achieve state-of-the-art accuracy as well as naturally calibrated wall-to-wall estimates. Furthermore, we introduce the concept of maps of applicability to drive the design of the proposed framework, as well as to establish the geographic areas of trustworthiness of the regression model. Take a look here to access the paper, feedback is always appreciated!
Generation of country-scale canopy height maps over Gabon using deep learning and TanDEM-X InSAR data
sciencedirect.com