جستجوی استاد راهنمای دانشگاهی

Leung Tsangمشاهده پروفایل

استاد

• Remote Sensing
• Electromagnetic Scattering
• Wave Propagation in Random Media
• +۶ مورد دیگر

Leung Tsang is a Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, holding the Robert J. Hiller Professorship of Engineering. He received his SB, SM, EE, and Ph.D. from MIT. His academic career includes positions at Texas A&M University (1980-1983), University of Washington (1983-2014) as Professor and Department Chair (2006-2011), and a visiting Professorship at City University of Hong Kong (2001-2004). He has served as Editor-in-Chief of IEEE Transactions on Geoscience and Remote Sensing and President of the Electromagnetics Academy and IEEE Geoscience and Remote Sensing Society. His research focuses on microwave remote sensing , multiple scattering theory , electromagnetic wave propagation in random media , photonic crystals , and signal integrity . His work spans theoretical advancements (e.g., radiative transfer theory, UV multi-level methods) and practical applications (e.g., snow parameter retrieval, ocean foam modeling, via coupling analysis). Key trends include Development of computational techniques for large-scale scattering problems Integration of neural networks for inversion in remote sensing Investigation of backscattering enhancement and polarimetric signatures Notable awards include Fellow of IEEE and Optical Society of America William T Pecora Award (2012) Van De Hulst Light Scattering Award (2018) Membership in the National Academy of Engineering (2020) His group utilizes high-performance computing resources, including the Flux HPC cluster at the University of Michigan and XSEDE allocations, with specialized nodes for electromagnetic modeling. Current students include Ruoxing Gao (electromagnetic theory), Firoz Borah (snow remote sensing), Jongwoo Jeong (forest scattering), and Zhenming Huang (snow modeling).

Ardeshir Ebtehajمشاهده پروفایل

دانشیار

• Hydrology
• Remote Sensing
• Environmental Science
• +۵ مورد دیگر

Ardeshir Ebtehaj is an Associate Professor at the University of Minnesota's College of Science & Engineering, Department of Civil, Environmental and Geo-Engineering. He leads the Hydrologic Sciences and Remote Sensing (HydSens) Laboratory at the Saint Anthony Falls Laboratory (SAFL) and serves as Editor of the Journal of Hydrometeorology. His research integrates physical models with data science to address sustainable water, food, and energy systems. Education: Postdoctoral Research, Georgia Institute of Technology Ph.D., University of Minnesota, Water Resources and Hydrology M.Sc., University of Minnesota, Mathematics M.Sc., Iran University of Science and Technology, Environmental Engineering M.Sc., Iran University of Science and Technology, Structural Engineering B.Sc., Iran University of Science and Technology, Civil Engineering Research Interests: Electromagnetic hydrology, satellite hydrometeorology, microwave remote sensing, inverse problems, land-atmosphere interactions, climate intelligence, and machine learning applications for water and environmental monitoring. Awards & Grants: Recent funding from NASA (Arctic ecohydrology modeling, SMAP program) and USACE (Harmful Algal Blooms detection). Collaborations: HydSens team at SAFL, NASA Goddard Space Flight Center, University of Alaska.

Rosemary Willattمشاهده پروفایل

مدرس

• Sea Ice Physics
• Cryosphere Dynamics
• Climate Science
• +۴ مورد دیگر

Rosemary Willatt is a Lecturer in Experimental Ice and Rock Physics for the Environment at the University College London (UCL) Department of Earth Sciences. Her research focuses on sea ice dynamics in polar regions, combining laboratory experiments with fieldwork and remote sensing techniques. She leads projects involving satellite radar altimetry for monitoring snow and ice thickness, with a particular emphasis on advancing Earth Observation missions through the Polarimetric Synthetic Aperture Radar Altimeter (PoSARA) concept. She has been awarded the inaugural Konrad Steffen Award by ESA for her innovative work on snow depth estimation techniques. Willatt’s work integrates field campaigns (e.g., in the Arctic and Antarctic) with analysis of airborne, satellite, and ground-based radar data. She collaborates with space agencies to optimize satellite mission design and has pioneered novel methods for quantifying snow properties and their impacts on cryosphere processes. Her contributions include advancements in understanding brine migration in snow, L-band microwave scattering, and wind-driven snow redistribution effects on radar signatures. As Principal Investigator for the ESA-funded PoSARA project and Sea Ice Earth Observation at the Centre for Polar Observation and Modelling (CPOM), she bridges experimental physics with large-scale climate monitoring. Her research also emphasizes education, diversity, and sustainability initiatives within the scientific community.

• Remote Sensing
• Hydrology
• Climate Science
• +۵ مورد دیگر

Robert Gurney is a Professor at the University of Reading, specializing in remote sensing, climate science, and environmental monitoring. His research focuses on snow dynamics, microwave emission modeling, soil moisture analysis, and atmospheric processes. He has contributed extensively to understanding snowpack evolution, Earth radiation budgets, and climate system modeling through numerical weather prediction. Key areas: Snow physics, microwave remote sensing, hydrology, and climate dynamics Notable work: Development of snow emission models, satellite calibration techniques, and LiDAR-based canopy analysis International collaborations: Co-authored studies with institutions globally, addressing Arctic snow microstructure and Antarctic ice dynamics His publications span journals like Journal of Climate , Remote Sensing of Environment , and Atmospheric Chemistry and Physics . Research emphasizes bridging observational data with climate models to improve environmental monitoring accuracy.

Hans-Peter Marshallمشاهده پروفایل

دانشیار

• Microwave Radar
• Snow Remote Sensing
• Glaciology
• +۲ مورد دیگر

Hans-Peter Marshall is Associate Professor in the Department of Geosciences at Boise State University, where he leads the Cryosphere Geophysics and Remote Sensing Group. His research focuses on microwave radar applications for snow and ice remote sensing, snow stability modeling, and avalanche detection. His research develops novel remote sensing techniques including microwave radar, lidar, and ground-penetrating radar to quantify snow properties and processes. Key research areas include: improving snow water equivalent retrievals using L-band InSAR, developing autonomous monitoring systems for ice sheet processes, and advancing NASA's SnowEx campaign through multi-sensor validation approaches. Professor Marshall's field programs span diverse cryospheric environments including Arctic tundra, boreal forests, mountain glaciers, and the Greenland Ice Sheet. His work addresses fundamental challenges in measuring spatial variability of snow properties and validating satellite-based snow products.

Nina Maaßمشاهده پروفایل

پژوهشگر

• Sea Ice Remote Sensing
• Snow and Ice Thickness Retrieval
• Satellite Data Validation
• +۳ مورد دیگر

Dr. Nina Maaß is a Research Scientist at the University of Hamburg's Institute of Oceanography, affiliated with the Faculty of Mathematics, Informatics and Natural Sciences and the Earth Sciences department specializing in sea ice research. She holds a Doktor rer. nat. from Universität Hamburg and has been a CliSAP Postdoc since 2013, focusing on sea ice remote sensing and satellite data validation. Her research emphasizes quantifying sea ice and snow properties using passive microwave remote sensing techniques, with applications in climate modeling and environmental monitoring. Key research interests include sea ice thickness, snow depth retrieval, validation of satellite products, and algorithm development for L-band microwave data. She has collaborated internationally, including with the Danish Meteorological Institute and met.no, and contributed to projects like the International Max Planck Research School on Earth System Modelling (IMPRS-ESM). Her work spans field campaigns in polar regions, model development (e.g., integrating sea ice modules into the SNOWPACK model), and operational validation of satellite-derived sea ice products. She has published extensively on topics such as snow-ice interactions, radiative transfer modeling, and the impact of surface roughness on remote sensing accuracy. Education: 2013: Doktor rer. nat., Universität Hamburg 2009: Diploma in Physical Oceanography, Universität Hamburg Professional Appointments: 2013–present: CliSAP Postdoc, University of Hamburg 2010: EUMETSAT Guest Scientist at DMI and met.no Awards and fellowships include a Max-Planck Institute for Meteorology postdoc stipend (2013) and a 4-year IMPRS-ESM fellowship (2009–2013). Her research bridges theoretical modeling with applied remote sensing, contributing critical data for understanding Arctic and Antarctic climate systems.

Mel Sandellsمشاهده پروفایل

دانشیار

• Snow Microwave Radiative Transfer
• Cryosphere Physics
• Remote Sensing
• +۴ مورد دیگر

Mel Sandells serves as Associate Professor at Northumbria University within the School of Geography and Natural Sciences. Her research focuses on applying physics principles to interpret cryospheric changes through computer simulations of microwave scattering in snow, supporting ground-based, airborne, and satellite remote sensing observations. Her research interests center on snow microwave radiative transfer modeling, particularly through the Snow Microwave Radiative Transfer (SMRT) Model developed since 2015. She investigates how snow microstructure measurements inform simulations of microwave behavior in snow, land ice, and sea ice. Current projects include: AKROSS: Fieldwork in Eureka, Canada evaluating SMRT in altimetry mode for sea ice thickness retrievals AESOP: Using SMRT to remove snow influence on satellite observations for numerical weather prediction SCANSAS: Dual active-passive SMRT evaluation with Swiss Alps data Her publication trends show consistent focus on cryospheric remote sensing, with recent work emphasizing continental-scale snow modeling (2025), North American snow water equivalent uncertainty (2021), and fundamental improvements to snow emission models (2019-2016). Key research themes span microwave radiative transfer theory, snow microstructure characterization, and satellite data interpretation for climate monitoring. Professional activities include active collaboration across international research networks as evidenced by multi-institutional publications, though specific awards aren't documented in available sources. Her supervised work includes at least one graduate project, though student names aren't listed in the source material. Sandells' work operates at the intersection of computational physics and environmental monitoring, with ongoing fieldwork components in Arctic and Alpine regions supporting model validation efforts for satellite-based cryospheric observation systems.

Richard Kellyمشاهده پروفایل

استاد

• Remote Sensing
• Snow Hydrology
• Cryospheric Science
• +۵ مورد دیگر

Professor Richard Kelly is a faculty member in the Department of Geography and Environmental Management at the University of Waterloo. He joined the department in 2006 after serving as an associate research scientist at NASA. His research focuses on microwave remote sensing of snow and ice hydrology, with emphasis on Earth observation systems and global water budget analysis. Current affiliations: University of Waterloo Past affiliations: NASA, University of London His research interests include: Snow and ice hydrology Active/passive remote sensing Geospatial snow modelling Cryospheric response to climate change Water resource management Citizen science integration Professor Kelly's recent publications demonstrate expertise in microwave sensor calibration, snow water equivalent retrieval, and tundra/forest snow dynamics. His work spans Ku-band radar, passive microwave radiometry, and airborne synthetic aperture radar (CryoSAR) applications. Key funding sources include CFI, JAXA, NSERC, and CSA. He leads the Theoretical & Applied Earth Observation Science Lab, which houses the Cryospheric Remote Sensing Research Facility – Canada's only Ku-/X-band scatterometer infrastructure. His students have secured positions in Environment Canada, Teledyne Optech, and international research institutions.

• Glaciology
• Climate Science
• Environmental Science
• +۵ مورد دیگر

Johannes Freitag is a glaciologist affiliated with the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI). He leads the X-Ray-ICE-CT-Lab and AWI-ICE-STORAGE initiatives, focusing on advanced imaging and data management in polar research. His work integrates field experiments, microstructure analysis, and computational modeling to study snow and ice evolution. Freitag holds a PhD from the Alfred Wegener Institute, completing his thesis on Arctic sea ice hydrology in 1999. His research emphasizes polar snow/firn properties, densification processes, microstructure dynamics, and the role of ice cores as climate archives. Key areas include air bubble trapping mechanisms, impurity effects on firn, and CT-based image processing for environmental insights. His studies span Antarctic and Greenland ice sheets, with contributions to improving ice core interpretation through innovative sampling techniques like the dual-tube method and portable LISA box. He collaborates on international projects such as EPICA and IPICS, addressing issues like Holocene melt events, preindustrial biomass burning impacts, and Southern Ocean bioproductivity changes. Freitag’s research also intersects with remote sensing (e.g., Sentinel-3 applications) and interdisciplinary topics like crystal fabric analysis and semantic data management systems (CaosDB). Despite no explicitly listed awards or advisees, his work significantly advances understanding of polar climate archives and cryospheric processes.

Maurice van Tiggelenمشاهده پروفایل

پژوهشگر

• Polar Meteorology
• Glaciology
• Remote Sensing
• +۳ مورد دیگر

Maurice van Tiggelen is a Researcher at Utrecht University's Institute for Marine and Atmospheric Research (IMAU), working within the Physics department specializing in Dynamics Meteorology. Based at the Buys Ballotgebouw in Utrecht, he focuses on polar meteorology, glaciology, and remote sensing, with particular expertise in ice-atmosphere interactions and surface mass balance of ice sheets. His research centers on the coupling between ice surfaces and the atmosphere, especially how atmospheric boundary layer turbulence contributes to ice ablation. Van Tiggelen employs a multi-method approach combining automatic weather station measurements on the Greenland Ice Sheet, drone imagery, satellite altimetry, and atmospheric modeling at various scales. His work has significant implications for understanding sea-level rise, as ice sheet mass loss has contributed substantially to global sea-level rise since 1901. The analysis of his recent publications reveals a consistent focus on quantifying turbulent heat fluxes over ice sheets, improving aerodynamic roughness parameterizations, and developing methods for monitoring surface energy balance. His research spans both the Greenland and Antarctic ice sheets, with increasing attention to high-resolution modeling techniques and remote sensing validation. Van Tiggelen completed his PhD in 2023 with a thesis titled 'Roughish ice, snow and turbulent heat fluxes on the Greenland ice sheet' and maintains active research collaborations with institutions worldwide. His technical skills include Python programming and Geographic Information Systems, which support his data-intensive research approach.

• Remote Sensing
• Machine Learning Applications
• Radiative Transfer Modeling
• +۲ مورد دیگر

Dr. Wei Li is a Research Professor in the Department of Physics at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. With a background in space physics from the University of Science and Technology of China and Chinese Academy of Sciences, Dr. Li has held research positions at multiple prestigious institutions since 1985. His research focuses on: Machine learning applications in remote sensing Radiative transfer modeling for atmosphere-surface systems Development of retrieval algorithms combining visible, infrared, and microwave data Atmospheric correction techniques for ocean color sensors Dr. Li's publications demonstrate consistent innovation in radiative transfer modeling and satellite data processing, with recent work emphasizing machine learning approaches for atmospheric correction, aerosol retrieval, and snow/ice parameter estimation. His research spans satellite sensors including GLI, SeaWiFS, MODIS, VIIRS, SGLI, and GOCI. With over 30 years of experience, Dr. Li has contributed significantly to remote sensing methodologies, particularly in developing algorithms for NASA's Cloud Absorption Radiometer and JAXA's GLobal Imager.

Julienne Stroeveمشاهده پروفایل

استاد

• Sea Ice Remote Sensing
• Climate Change Impacts
• Cryosphere Dynamics
• +۳ مورد دیگر

Julienne Stroeve is Professor and Senior Canada 150 Research Chair in Climate Forcing of Sea Ice at the Centre for Earth Observation Science, University of Manitoba. She holds a PhD in Geography from the University of Colorado, Boulder and leads research on Arctic sea ice dynamics using satellite remote sensing, field observations, and climate modeling. Her investigations focus on sea ice-atmosphere interactions, climate change impacts on polar regions, cryospheric processes, and implications for Arctic ecosystems and communities. Research themes include rain-on-snow events, sea ice thickness variability, polar bear habitat vulnerability, storm intensification, and freshwater cycles. Recent publications (2021-2025) demonstrate consistent focus on Arctic climate system changes, employing multi-sensor remote sensing and model-data integration approaches. Key patterns include declining sea ice cover, ecosystem vulnerabilities, ocean-atmosphere feedbacks, and improved modeling techniques. Awards include the prestigious Canada 150 Research Chair in Climate Forcing of Sea Ice. She advises doctoral candidates including Vaishali Chaudhary, Nicole Loeb, Yuhua Situ, and Ana Claudia Cardoso de Jesus. Research is supported by the Canada 150 Research Chair Program. Leads the 'Climate Forcing of Arctic Sea Ice' research team studying extreme events, community impacts, and future projections. The interdisciplinary group collaborates internationally through field campaigns including MOSAiC expedition.

• Cryospheric Sciences
• Snow Physics
• Snow-Atmosphere Interactions
• +۹ مورد دیگر

Michael Lehning is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) and the Institute of Environmental Engineering (IIE). He leads the Laboratory of Cryospheric Sciences (CRYOS) at EPFL Valais Wallis in Sion and holds leadership roles in the Center for Advanced Studies in Energy and Climate (CEN). He is actively involved in research, teaching, and doctoral program governance. His research centers on cryospheric processes, including snow physics, snow-atmosphere interactions, and numerical modeling of snow and wind in complex terrain. Key interests include blowing and drifting snow, snow sublimation, permafrost dynamics, and the integration of snow processes into atmospheric and hydrological models. He also investigates renewable energy potential in alpine and polar regions, particularly solar and wind energy, and the impact of climate change on cryospheric systems. His recent publications highlight expertise in large-eddy simulations, snow microstructure, isotopic analysis of snow processes, and energy system modeling for sustainable transitions. He has developed and applied advanced models such as SNOWPACK, Alpine3D, and CRYOWRF, contributing significantly to understanding snow dynamics in extreme environments. Michael Lehning supervises a large group of PhD students working on diverse topics such as wind energy assessment, snow transport modeling, isotopic snow studies, and thermal stabilization of permafrost. His research is supported by extensive field campaigns and collaborations with institutions across Europe and Antarctica. He is actively engaged in the scientific community through conference presentations, editorial contributions, and leadership in interdisciplinary energy and climate initiatives at EPFL.

Claude R. Duguayمشاهده پروفایل

استاد

• Remote Sensing
• Numerical Modeling
• Cryosphere
• +۵ مورد دیگر

Claude R. Duguay is a Professor and University Research Chair in Cryosphere & Hydrosphere from Space at the University of Waterloo , specifically within the Department of Geography and Environmental Management . He also serves as the founding director of the Interdisciplinary Centre on Climate Change , where he leads research on cold region studies and remote sensing technologies. Current research focuses on Arctic hydro-climatology and remote sensing of cryospheric processes. Teaches courses like Earth from Space Using Remote Sensing , The Cryosphere , and Remote Sensing of Cold Regions . His research involves developing remote sensing algorithms and numerical models to study lake/land-atmosphere interactions in cold environments. Key areas include lake ice dynamics , permafrost monitoring , microwave backscatter analysis , and climate change impact assessments . Publications emphasize satellite-based climate products and machine learning applications for ice and hydrology studies. Recent publications highlight trends in SAR and microwave remote sensing for ice thickness, snow properties, and climate feedback mechanisms. His work bridges environmental physics and data science to improve predictive models for cold regions. Scientific recognition includes the University Research Chair in Cryosphere & Hydrosphere from Space . Collaborative projects involve institutions like the Water Institute and Waterloo-Laurier Graduate Program in Geography . Graduate supervision includes Jaya Sree Mugunthan (MSc radar altimetry thesis). Research facilities utilize X/Ku/C-band microwave systems and 1-D lake models .

Nick Rutterمشاهده پروفایل

دانشیار

• Cold Region Hydrology
• Seasonal Snowpack Dynamics
• Climate Modeling
• +۳ مورد دیگر

Nick Rutter is an Associate Professor at Northumbria University's Geography and Environmental Sciences Department. His research focuses on cold region hydrology, seasonal snowpack dynamics, and their interactions with climate models and remote sensing technologies. He holds a DPhil in Geography from 2002. Education: DPhil in Geography (2002) Research Interests: Dr. Rutter investigates improved field measurements of seasonal snow to constrain uncertainties in environmental models, including glacio-hydrological models, climate components, and radiative transfer models. His fieldwork spans Arctic tundra, boreal forests, mountain regions, and sea ice. Key areas include snowpack thermal conductivity, forest-snow-atmosphere interactions, and microwave remote sensing applications. Recent Work Trends: Publications emphasize Arctic snowpack dynamics, multi-physics modeling, and the impacts of snow variability on permafrost and carbon cycles. Research integrates field observations with advanced modeling to address climate change challenges in cold regions. Advising and Grants: Accepting PhD students for projects on snow hydrology and remote sensing. Supervised 5 works to date, focusing on seasonal snow processes and climate model refinement.