Time Series Remote Sensing in Monitoring the Riparian Vegetation Dynamics
Dr. Chunyuan Diao (Department of Geography and GIScience, University of Illinois at Urbana-Champaign)
Invasive species threaten the functioning of natural ecosystems and cause substantial economic losses at the global scale. Over the past century, non-native saltcedar (Tamarix spp.) has expanded into most of riparian zones in the southwestern United States and posed significant threats to the native biotic communities. In today’s big data era, large volumes of remotely sensed information (e.g., time series of satellite imagery) open up new paradigms for evaluating the ecological disturbance of the riparian ecosystems. In this seminar, I will first present an overview of the integrated time series remote sensing framework I have developed to monitor the spatio-temporal dynamics of riparian vegetation species. I will then discuss how time series remote sensing can be leveraged to investigate the influence of environmental gradients on riparian vegetation distributions. My goal is to improve our understanding of earth system dynamics with the time series remote sensing in this big data era.
About the speaker
Dr. Diao is an Assistant Professor in the Department of Geography and GIScience at the University of Illinois at Urbana-Champaign. She obtained her Master degree in Biostatistics, and PhD degree in Geography from the State University of New York at Buffalo. Her research interests lie at the confluence of remote sensing, GIScience, and biogeography. The broad goal of her research is to develop advanced time series remote sensing frameworks to understand the interactions among land cover dynamics, hydrologic regimes, climate changes, and human activities. In today’s big data era, large volumes of remotely sensed information open up new paradigms for exploring these interactions. In this seminar, she will introduce how the massive satellite time series data can be leveraged in monitoring the riparian vegetation dynamics.