Shallow Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentinel-2 Data
Shallow water bathymetry is essential for maritime navigation, environmental monitoring, and coastal management. While traditional methods such as sonar and airborne LiDAR provide high accuracy, their high cost and time-consuming nature limit their application in remote and sensitive areas. Satellit...
Saved in:
| Main Authors: | Mengying Ye, Changbao Yang, Xuqing Zhang, Sixu Li, Xiaoran Peng, Yuyang Li, Tianyi Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/23/4603 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Space‐Borne Cloud‐Native Satellite‐Derived Bathymetry (SDB) Models Using ICESat‐2 And Sentinel‐2
by: N. Thomas, et al.
Published: (2021-03-01) -
A subregional shallow water bathymetry derivation method for coral reef using ICESat-2 and Sentinel-2 combined with sediment information
by: Caixiang Xu, et al.
Published: (2025-08-01) -
Satellite-Derived Bathymetry Combined With Sentinel-2 and ICESat-2 Datasets Using Deep Learning
by: Weidong Zhu, et al.
Published: (2025-01-01) -
Diffuse attenuation coefficient and bathymetry retrieval in shallow water environments by integrating satellite laser altimetry with optical remote sensing
by: Changda Liu, et al.
Published: (2025-02-01) -
Bathymetry and Agricultural Crop Studies From ICESat‐2: The Density‐Dimension Algorithm
by: Xiaomei Lu, et al.
Published: (2025-06-01)