Multi-Parameter Water Quality Inversion in Heterogeneous Inland Waters Using UAV-Based Hyperspectral Data and Deep Learning Methods
Water quality monitoring is crucial for ecological protection and water resource management. However, traditional monitoring methods suffer from limitations in temporal, spatial, and spectral resolution, which constrain the effective evaluation of urban rivers and multi-scale aquatic systems. To add...
Saved in:
| Main Authors: | Hongran Li, Nuo Wang, Zixuan Du, Deyu Huang, Mengjie Shi, Zhaoman Zhong, Dongqing Yuan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/13/2191 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content
by: Xuguang Sun, et al.
Published: (2024-12-01) -
Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index
by: Kai Zhang, et al.
Published: (2024-12-01) -
Research on the Inversion Method of Dust Retention in Grassland Plant Canopies Based on UAV-Borne Hyperspectral Data
by: Yibo Zhao, et al.
Published: (2025-02-01) -
Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance
by: Haohui Zeng, et al.
Published: (2025-05-01) -
Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River
by: Manqi Wang, et al.
Published: (2025-01-01)