Multi-sensor System Applications in the Everglades Ecosystem
Caiyun Zhang
Multi-sensor System Applications in the Everglades Ecosystem
Caiyun Zhang
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Description
This book introduces multiple remote sensing systems, advanced data processing techniques, and applications of multiple remote sensing systems in wetland environments, especially Florida. The application of the systems' datasets, especially LiDAR data, applied to wetland ecosystems is unique from other case studies.
Dr. Zhang received her Ph.D. in Geospatial Information Sciences from University of Texas, Dallas. Her research at FAU focuses on vegetation characterization in the Florida Everglades using multiple sensors, biomass modeling and mapping, water quality monitoring and mapping, and analyzing coastal vulnerability to sea level rise and hurricanes. She has developed innovative methodology frameworks to monitor and map the Greater Everglades by combining multiple sensors and GIS techniques, which can assist with the restoration and conservation of the Florida Everglades ecosystem. She applies modern machine learning and advanced remote sensing image processing techniques in the coastal environments to understand the effects of human activities and natural disasters on the modification of coastal landscapes. She is teaching five major remote sensing courses at FAU including Remote Sensing of Environment, Digital Image Analysis, Hyperspectral Remote Sensing, Lidar Remote Sensing and Applications, and Photogrammetry and Aerial Photo Interpretation.