Nearshore bathymetry estimation through dual-time phase satellite imagery in the absence of in-situ data-Reference-Cited by-同舟云学术

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Nearshore bathymetry estimation through dual-time phase satellite imagery in the absence of in-situ data

Published:2023-11-09 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhang Xiaohan¹^ORCID,Han Wei¹,Li Jun¹,Wang Lizhe¹

Affiliation:

1. School of Computer Science, China University of Geosciences, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Project Supported by the Special Fund of Hubei Luojia Laboratory

Hubei Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2275424

Reference36 articles.

1. Nearshore Bathymetry From Fusion of Sentinel-2 and ICESat-2 Observations

2. Multi-band spectral matching inversion algorithm to derive water column properties in optically shallow waters: An optimization of parameterization

3. A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data

4. Confronting turbidity, the major challenge for satellite-derived coastal bathymetry

5. A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering

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1. Evaluating ICESat-2 Seafloor Photons by Underwater Light-Beam Propagation and Noise Modeling;IEEE Transactions on Geoscience and Remote Sensing;2024

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