Improved Filtering of ICESat-2 Lidar Data for Nearshore Bathymetry Estimation Using Sentinel-2 Imagery
The accurate estimation of nearshore bathymetry is necessary for multiple aspects of coastal research and practices. The traditional shipborne single-beam/multi-beam echo sounders and Airborne Lidar bathymetry (ALB) have a high cost, are inefficient, and have sparse coverage. The Satellite-derived b...
Main Authors: | Congshuang Xie, Peng Chen, Delu Pan, Chunyi Zhong, Zhenhua Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/21/4303 |
Similar Items
-
Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning
by: Congshuang Xie, et al.
Published: (2023-03-01) -
Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Physics-Informed CNN
by: Congshuang Xie, et al.
Published: (2024-01-01) -
Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep Learning Approach
by: Jing Zhong, et al.
Published: (2022-08-01) -
Satellite derived bathymetry based on ICESat-2 diffuse attenuation signal without prior information
by: Xuechun Zhang, et al.
Published: (2022-09-01) -
Use of ICEsat-2 and Sentinel-2 Open Data for the Derivation of Bathymetry in Shallow Waters: Case Studies in Sardinia and in the Venice Lagoon
by: Massimo Bernardis, et al.
Published: (2023-06-01)