Unmixing marsh vegetation species across multiple sensors and spatial scales
Coastal marsh ecosystems are critical for providing essential habitats, buffering coastlines against erosion, and sequestering carbon. However, there is a global trend where these ecosystems are disappearing due to rising sea levels, wave-drive erosion, and human activities. Accurate and repeatable...
Saved in:
| Main Authors: | Zhicheng Yang, Tegan Blount, Conner Lester, Nat Blackford, Andrea D’Alpaos, Marco Marani, Brad Murray, Sonia Silvestri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2481689 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation
by: Atheer Abdullah Alshahrani, et al.
Published: (2025-04-01) -
Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing
by: Yang Liu, et al.
Published: (2025-01-01) -
Robust and Unified Semi-Supervised Unmixing of Hyperspectral Imaging for Linear and Multilinear Models
by: Daniel Ulises Campos-Delgado, et al.
Published: (2025-01-01) -
Impact of Coastal Squeeze Induced by Erosion and Land Reclamation on Salt Marsh Wetlands
by: Guangzhi Zhang, et al.
Published: (2024-12-01) -
Analysis of Carbon Storage in Coastal Salt Marsh Ecosystem in Hebei Province
by: LYU Hongjuan, et al.
Published: (2025-01-01)