Machine Learning and Citizen Science Approaches for Monitoring the Changing Environment
It addresses environmental management and disaster response problems, but appears incremental as it combines existing fields without clear novelty.
The dissertation tackles monitoring inundation areas and hurricane events in changing environments by combining remote sensing, citizen science, and machine learning, but no concrete results or numbers are provided.
This dissertation will combine new tools and methodologies to answer pressing questions regarding inundation area and hurricane events in complex, heterogeneous changing environments. In addition to remote sensing approaches, citizen science and machine learning are both emerging fields that harness advancing technology to answer environmental management and disaster response questions.