天美传媒

Parker's research focuses on developing an understanding of how sex hormones like estrogen and testosterone regulate the production of sexual signals used in mate choice. He uses snakes as a model group of vertebrates because snakes rely almost exclusively on chemical cues (pheromones) to identify and choose between mates.
Parker's research has been used in collaboration with the U.S. Department of Agriculture, the U.S. Geological Survey and the Florida Institute of Technology to improve the management of invasive species, mainly Burmese pythons in the Florida Everglades. His research is also being used to examine similar questions about Argentine tegu lizards.
He has a bachelor's degree from the University of Arkansas, Fayetteville; a master's degree from Washington State University and a doctorate from Oregon State University.

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

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