TH4.R10.3
Foundation Model Embeddings for Subsurface Soil Carbon Estimation: Beyond Optical Imagery
Bishal Roy, Vasit Sagan, Cagri Gul, Saint Louis University, United States; Nadia Shakoor, Donald Danforth Plant Science Center, United States
Session:
TH4.R10: The prospect of Remote Sensing Foundation Models: From Generation to Application (2/2) Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Thursday, 13 August, 16:45 - 17:00
Session Co-Chairs:
Rui Liu, and Jing Ling, Guangdong University of Technology
Presentation
Discussion
Resources
No resources available.
Session TH4.R10
TH4.R10.1: IT-FLOW: INTERPOLANT TRANSPORT FLOW MATCHING FOR CHALLENGING REMOTE SENSING CLASSIFICATION WITH GEOSPATIAL FOUNDATION MODELS
Kshitiz Khanal, North Carolina State University, United States
TH4.R10.2: FLASH-SAR: A DENSE CONTRASTIVE MODEL FOR EFFICIENT AIRPORT CLASSIFICATION IN SENTINEL-1 IMAGERY
Sai Shruti Prakhya, International Institute of Information Technology - Bangalore, India; Rahisha Thottolil, University of Johannesburg, South Africa; Uttam Kumar, Prachoday Davuluri, International Institute of Information Technology - Bangalore, India
TH4.R10.3: Foundation Model Embeddings for Subsurface Soil Carbon Estimation: Beyond Optical Imagery
Bishal Roy, Vasit Sagan, Cagri Gul, Saint Louis University, United States; Nadia Shakoor, Donald Danforth Plant Science Center, United States
TH4.R10.4: DINOV3 FOR TEMPORAL CHANGE DETECTION IN SYNTHETIC APERTURE RADAR IMAGERY
Jesse Bressers, Xavier Neyt, Royal Military Academy, Belgium; Aleksandra Pižurica, Ghent University, Belgium
TH4.R10.5: Comparing Fine-Tuned SatMAE and Prithvi with CNN and ResNet-50 for Classifying Non-Indigenous Invasive Aquatic Species Using UAS Imagery
Gamze Erdem, The University of Tennessee, United States; Sathishkumar Samiappan, University of Tennessee at Knoxville, United States; Gray Turnage, Mississippi State University, United States; Adam Zylka, Maxwell Solter, The University of Vermont, United States
Resources
No resources available.