天美传媒

Jennifer Melcher is a faculty research associate with the UWF Archaeology Institute. Melcher provides database,GIS, mapping and graphic support for faculty and students in the Division of Anthropology and Archaeology. In addition, she conducts geophysical surveys  and analysis, as well as the facilitation of 3D scanning and printing of archaeological models for research, education and outreach. 

In addition to her extensive digital work, Melcher鈥檚 research interests focus on Native Americans at the time of contact with an emphasis on cultural exchange. She teaches GIS for Anthropology at both the graduate and undergraduate levels, serves on graduate student committees and offers workshops for students on topics including surveying, and geophysical methods.

Melcher is a member of multiple archaeological associations to include Pensacola Archaeological Society, Florida Anthropological Society, Florida Archaeological Council, Southeastern Archaeological Society and Society for American Archaeology. 

Chunyuan Diao has been an assistant professor of Geography and Geographic Information Science at the university of Illinois Urbana-Champaign since 2017. She teaches courses including Introduction to Remote Sensing, Techniques of Remote Sensing, and Programming for GIS.
Her research focuses on computational remote sensing of terrestrial ecosystem dynamics at local to global spatial scales and daily to decadal temporal scales. She has a particular interest in advancing computational remote sensing paradigms in characterizing land surface patterns and processes, underlying mechanisms, and subsequent feedbacks to the atmosphere. Her work combines remote sensing, process-based models, field observations, artificial intelligence, and high-performance and cloud computing to study ecosystem structures, functions, and responses to climate change and human activities. This research traverses varying ecosystems, including natural (e.g., forest), human-dominated (e.g., agriculture), and disturbed (e.g., species invasion) ecosystems. Current focus areas include computational remote sensing, multi-scale land surface phenology, intelligent agriculture, and invasive species and biodiversity.
Her research team has developed a novel framework, called CropSight, to retrieve the object-based crop type ground truth. CropSight is a unique national-scale crop ground reference data repository and embodies a wealth of season-long remotely sensed crop growth and environmental attributes across crop growing locations for most crop types in the U.S.
She is a fellow of the Association of American Geographers and previously received the Early/Mid-Career Research Award from the University Consortium for Geographic Information Science (2023), a National Science Foundation CAREER Award (2021), the NASA Early Career Investigator Award (2021), and AAG Early Career Scholars in Remote Sensing Award (2020).
Research interests

Time series remote sensing, space-time analytics
Vegetation phenology, continuous vegetation monitoring
Computational remote sensing, deep learning
Agriculture, forest, and invasive species dynamics

Education

PhD, Geography, State University of New York at Buffalo
MA, Biostatistics, State University of New York at Buffalo
BS, Beijing Normal University

Website

Wei's research focuses on how massive location-based social media data can help the understanding of the nature of human activities and the dynamics of social interactions.
Courses Wei has taught include python programming; data mining and modeling; data visualization; machine learning; and data analysis on AWS.
Wei earned a doctorate in geography at the University of Georgia, master's degrees in GIS and urban planning at Wuhan University and University of Twente; and a bachelor's degree in urban planning at Wuhan University.