Quantitative Geomorphology Training Camp 2025
A week-long immersive training in quantitative geomorphology.
Students will learn about landscape evolution modeling, topographic analysis, and mapping tools.

Funding:
Award #2340311 to P. Val

Subscribe and receive future announcements.
PHOTO BY DAN OLSEN
Location
Black Rock Forest Park, NY
65 Reservoir Road; Cornwall, NY 12518
Instructors
Primary instructor:
Dr. Pedro Val
Guest instructors:
Dr. Alia Lesnek, CUNY Queens College
Dr. Kimperly Huppert, CUNY City College of NY
Dr. Roman A. DiBiase, Penn State University
Secondary instructors:
Pedro Oliveira, CUNY PhD student
Michael Reed, CUNY PhD student
Renato da Silva, CUNY PhD student
Schedule
-
Introduction to Python
-
Landscape evolution modeling using LandLab
-
Introduction to TopoToolBox and Topographic Analysis Kit
-
Advanced Topographic Analysis
-
GIS mapping skills
-
Outdoor activities, training in field work skills (pebble counting, grain size analysis, structure from motion, hydraulic geometry measurements, and more!)
-
Research Talks
Full schedule to be announced.
Applications are now open!
Application period
• Applications accepted until April 2nd
• To apply, submit the form on the right.
• Application results will be released between 04/23 and 04/30.
We accept applications from
• Junior Undergraduate student with prior research experience as an undergrad.
• Senior Undergraduate student
• MSc and PhD students
• Postdoctoral researchers
Eligibility
• Students must be enrolled in a degree-granting institution in the United States.
• Postdoctoral researchers must be appointed in an institution based in the United States.
What is covered
Participants will receive:
• Free lodging at Black Rock Forest
• Per diems (approximately $600 issued post-camp)
• Students can inform the need for partial or full coverage of tuition*
*The Quantitative Geomorphology Camp is a 3-credit course at Queens College rates + fees
*Selected applicants will be contacted about the availability and amount of funds for tuition.

PHOTO BY DAN OLSEN