Student Class Project (Spring 2025): Case Study: Geospatial Artificial Intelligence (GeoAI) and Machine Learning Data Analysis
Class: Advanced Environmental Geomatics, 11:573:462
Class instructor: Prof. Richard Lathrop
Semester: Spring 2025
Overview
One of the most exciting recent advancements in the field of geospatial information science is the development of geospatial artificial intelligence or GeoAI. GeoAI is or can potentially applied to everything from the detection and identification of real-world objects in aerial imagery to the “mining” of spatial-temporal patterns of “Big Data” sets.
The class is taught in a practicum format with an emphasis on student-driven learning through practical hands-on individual and group projects. The course required self-directed effort on the part of the students to learn how to use a variety of GeoAI tools and data mining approaches in the ESRI ArcPro image analysis toolbox.
Class Projects
1. Identifying High Marsh in Barnegat Bay Using Deep and Machine Learning: Link 1 | Link 2
2. Mapping Mosquito Ditching and Open Marsh Water Management Ponds: Link 1 | Link 2
3. Mapping Shellfish Aquaculture: Link
4. Mapping of Phragmites Marsh at Two NJ Sites Using Deep Learning: Link
5. Detect and map recreational and commercial boats in coastal New Jersey: Link
6. Using GeoAI to Detect Docks: Link
7. Boat Scarring Distribution in Seagrass Beds of Barnegat Bay, New Jersey: Link
8. Using Deep Learning to map seagrass: Link
Students: Cassidy DeVre, Jack Coulson, Mary Castellani, Pia Tolentino, Karina Zepeda Gil, Nick Fiorey, Andie Zou, George Thomson, Brooke Gatley, Ashley Perez, Aysha Ponna, Lillian Macdonald, Grace Temple, Jonathan Ho, Niyati Patel, Nithila Darmeshwaran, Ashton Nagasuru, Michael Morosco, Alessandro Padilla, Hannah Hornbeck, Leah Kapps, Alexandra Vitug
Contact
Richard G. Lathrop, Jr. PhD
Director, Center for Remote Sensing and Spatial Analysis (CRSSA)
Professor, Dept. of Ecology, Evolution, and Natural Resources
lathrop@crssa.rutgers.edu
School of Environmental and Biological Sciences
Rutgers, The State University of New Jersey
14 College Farm Road, Cook Campus
New Brunswick, NJ USA 08901-8551
Tel: 848-932-1580
Web: crssa.rutgers.edu
Web site by the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), © 2025. Page contents last updated 10/1/2025.
