I M-SHARP- INTERDISCIPLINARY MATERIAL SCIENCE FOR THE HYPERSPECTRAL REMOTE SENSING OF PERMAFROST
Abstract
The spatial heterogeneity, temporal variability, and extensive area of Earth s permafrost pose an enormous challenge for developing a unified picture of its current state and evolution. The difficulty of acquiring information about the permafrost environment motivates the use of spaceborne remotely sensed data. While various data science approaches (e.g., deep learning) are gaining in popularity, a thorough physical understanding of the surface and subsurface dynamics of permafrost lands (hereafter, permafrost ) and their manifestation in remotely-sensed data remain elusive. Such physical understanding, however, is crucial for advancing permafrost monitoring and prediction. The I MSHARP project will develop theoretical and experimental methods to understand fundamental physical properties and processes of permafrost dynamics, in order to elucidate its behavior from reflectance spectra by newly-developed multiscale predictive and retrodictive models. As an interdisciplinary team, we will pursue a set of closely-linked
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA95502410307
Entities
People
- Tugce Baser
Organizations
- Air Force Office of Scientific Research
- Saint Louis University
- United States Air Force