جستجوی استاد راهنمای دانشگاهی

Yang Shaoمشاهده پروفایل

دانشیار

• Remote Sensing
• GIS
• Land Use and Land Cover Change
• +۳ مورد دیگر

Yang Shao is an Associate Professor in the Department of Geography at Virginia Tech's College of Natural Resources and Environment. He specializes in remote sensing, GIS, and statistical modeling to study land use/cover change and watershed dynamics. His work integrates machine learning algorithms for high-accuracy land cover mapping and near-real-time environmental monitoring. Shao currently directs the Geospatial and Environmental Analysis (GEA) Ph.D. program and teaches courses in advanced geospatial modeling and programming. He holds a Ph.D. from the University of North Carolina at Chapel Hill (2007), and MS/B.S. degrees from Nanjing University (2001/1997). Research Interests: Remote sensing image processing & machine learning Land use/cover change dynamics Urban environmental modeling (e.g., stormwater/runoff) Ecohydrological process simulation GIS-based spatial analysis Grant Highlights: $500K US Army Corps study on hurricane surge characterization $150K DEQ-funded harmful algal bloom analysis World Resources Institute project mapping school bus depots using Google Earth Engine Advising: Supervised 15+ graduate students in land change modeling, remote sensing applications, and environmental GIS since 2012. Current advisees include Ozzy Campos (PhD) and Jack Tolar (MS). Labs/Teams: Active member of Virginia Tech's Center for Geospatial Information Technology, leading projects in urban environmental systems analysis and geospatial data science.

Anne Reichmuthمشاهده پروفایل

پژوهشگر ارشد

• Remote Sensing
• Forest Monitoring
• Climate Change Impact Assessment
• +۵ مورد دیگر

Anne Reichmuth is a Research Fellow in the Remote Sensing Department at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. Since 2021, she has been leading work on the Forest Condition Monitor project, which provides spatially explicit information about the condition of Germany's forests from 2016 to 2022. Her research focuses on applying remote sensing technologies to monitor forest health and assess climate change impacts on forest ecosystems across Europe. Anne Reichmuth earned her educational qualifications through: Master of Engineering in Geoinformatics and Management from HTW Dresden (2010-2013) Bachelor of Science in International Forest Ecosystem Management from HNE Eberswalde (2006-2009) Her research interests center on forest vitality detection using multispectral time series and hyperspectral data. She specializes in developing innovative remote sensing methodologies to monitor forest condition, detect early signs of stress, and assess climate change impacts on forest ecosystems. Her work bridges the gap between advanced remote sensing techniques and practical forest management applications, with particular emphasis on creating operational monitoring systems that can provide timely information to forest managers and policymakers. She combines laboratory experiments with field measurements and satellite data to develop robust forest monitoring approaches. Her recent publications reveal a strong trend toward developing operational forest monitoring systems using time series analysis of satellite data. Her work spans from laboratory-based hyperspectral experiments to large-scale European climate impact assessments. She has made significant contributions to developing the Forest Condition Monitor for Germany and creating bioclimatic datasets for Europe. Her research combines remote sensing expertise with ecological knowledge to address pressing environmental challenges related to forest health under climate change. Dr. Reichmuth has built a strong career through diverse experiences across academic, governmental, and private sectors. While specific grants aren't detailed in the available information, her sustained research program since 2015 demonstrates successful acquisition of research funding. Her collaborative approach is evident through numerous co-authored publications with researchers from various institutions including DLR Oberpfaffenhofen, University of Würzburg, and international partners. Anne Reichmuth is part of the Remote Sensing Team at UFZ, which includes Francisco José Cuesta Valero, Daniel Doktor, Almudena García-García, Maximilian Lange, Jian Peng, Andreas Schmidt, Elisabeth Rahmsdorf, Mohammad Hajeb, and Xueying Li. This team contributes to the UFZ's Environmental Informatics Integration Platform and participates in multiple PhD colleges including MOMENT, MoDEV, and LISA. The team's work is integrated within the broader context of UFZ's research programs on Ecosystems of the Future, Water Resources and Environment, and Smart Models/Monitoring.