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Deriving highly accurate shallow water bathymetry from Sentinel-2 and ICESat-2 datasets by a multi-temporal stacking method
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Also, empirical models are limited in some remote areas due to the lack of prior bathymetric points. ...
bathymetry with accuracy of approximately 1 m and the depth range exceeding 22 m. ...
ACKNOWLEDGMENTS We thank NASA National Snow and Ice Data Center (NSIDC) for distributing the ICESat-2 data and the European Space Agency (ESA) for distributing the Sentinel-2 imagery. ...
doi:10.1109/jstars.2021.3090792
fatcat:j4f4shloyjaqth2jfmm4xvjtxm
Performance Assessment of High Resolution Airborne Full Waveform LiDAR for Shallow River Bathymetry
2015
Remote Sensing
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However, both the definition of the water surface, and the turbidity of the water significantly influence the performance of the LiDAR bathymetry observations. ...
Overall, the optimal processing strategies resulted in a determination of water depths with a 6 cm mean at 14 cm standard deviation for clear water, and a 16 cm mean and 27 cm standard deviation in more ...
Funding for the Blue/Colorado River data collection was provided by the Office of Naval Research (awards ...
doi:10.3390/rs70505133
fatcat:qrn3enizhzhxndq3egwxon4h2e
Improved Filtering of ICESat-2 Lidar Data for Nearshore Bathymetry Estimation Using Sentinel-2 Imagery
2021
Remote Sensing
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Then, the bathymetry of the detected seafloor photons was corrected because of the refraction that occurs at the air–water interface. ...
However, current empirical SDB methods for multispectral imagery data usually rely on in situ depths as control points, severely limiting their spatial application. ...
Acknowledgments: We thank the anonymous reviewers for their suggestions, which significantly improved the presentation of the paper. ...
doi:10.3390/rs13214303
doaj:03976cb0ccdc458991b9e54dbe2bfb61
fatcat:cl2f2v23rjhtrgo65z4iuz75iy
Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats—A Case Study at the Pielach River
2015
Remote Sensing
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We present, firstly, a novel approach for modeling the water surface in the case of sparse water surface echoes and, secondly, a strategy for improved filtering and modeling of the Digital Terrain Model ...
Airborne LiDAR Bathymetry (ALB) has been rapidly evolving in recent years and now allows fluvial topography to be mapped in high resolution (>20 points/m 2 ) and height accuracy (<10 cm) for both the aquatic ...
Acknowledgments The authors would like to thank the company Riegl LMS (Dr. Martin Pfennigbauer) for providing the topo-bathymetric LiDAR data for this study. ...
doi:10.3390/rs70506160
fatcat:imf2hhbocbgidllthrfoeb3aji
Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2
2021
Remote Sensing
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The bathymetric point clouds were validated using the French naval hydrographic and oceanographic service Litto3D® dataset and then used to calibrate the multispectral image to produce a digital depth ...
Accurate and reliable bathymetric data are needed for a wide diversity of marine research and management applications. ...
Correction for the Refraction Bias Geolocated signal photons located below the water surface are not corrected for the refraction effect that redirects the light, and thus the LiDAR beams. ...
doi:10.3390/rs14010133
fatcat:pyteb4dnsrafdat2pgjqiiozh4
Nearshore bathymetry based on ICESat-2 and multispectral images: comparison between Sentinel 2, Landsat 8, and testing Gaofen-2
2022
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Using the new measurement strategy of photon counting, ICESat-2 can provide accurate bathymetric points from spaceborne observations, which can be used in place of in-situ water depth data. ...
In this study, ICESat-2 bathymetric points and multispectral images were used to train four typical models and produce bathymetric maps for Shanhu Island, Ganquan Island, and Lingyang Reef in the Xisha ...
In this study, the bathymetric points from the spaceborne ICESat-2 LiDAR were used instead of in-situ bathymetric points to train four retrieval models. ...
doi:10.1109/jstars.2022.3153681
fatcat:efqkfrl245afrggnz6gn5nx4fy
Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS's Bathymetric Mapping Performance
2019
Remote Sensing
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It is demonstrated that ATLAS has a maximum depth mapping capability of nearly 1 Secchi in depth for water depths up to 38 m and Kd(490) in the range of 0.05–0.12 m−1. ...
Beam Experimental Lidar), NASA's high-altitude airborne ATLAS emulator, and adapting the laser-radar equation for ATLAS specific parameters. ...
We also thank the three reviewers for their helpful comments and suggestions.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs11141634
fatcat:i2733b2mirdnllu73ypg56iu3q
ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep Learning Model with Active–Passive Data Fusion
2023
Remote Sensing
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with partial missing signals, and the performance is comparable to that of the original data without missing data, which is of great value for the bathymetric application of ICESat-2 data in island and ...
When the reconstructed ICESat-2 bathymetric data are applied to carry out active–passive fusion and bathymetric inversion, the accuracy indices are better than those of the inversion results of the data ...
Acknowledgments: We sincerely thank the Goddard Space Flight Center for distributing the ICESat-2 data.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/rs15020460
fatcat:wvhpmiwtffhzflryecieaia534
Confidence Levels, Sensitivity, and the Role of Bathymetry in Coral Reef Remote Sensing
2020
Remote Sensing
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Accuracy of derived water depth is evaluated using bathymetric lidar data, which serves to both validate model performance and underscore the importance of image quality on achieving optimal model output ...
Consistent results were found across different study sites and different spatial resolutions, confirming the suitability of the model for deriving water depth in complex coral reef environments, and expanding ...
Conflicts of Interest: The authors declare no conflict of interest. NASA collected the airborne AVIRIS-C data and performed select preprocessing steps for this data. ...
doi:10.3390/rs12030496
fatcat:vzfxgxpcpfg53pa462xaat5q4y
An Approach to Minimize Atmospheric Correction Error and Improve Physics-Based Satellite-Derived Bathymetry in a Coastal Environment
2020
Remote Sensing
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Then, we quantified known biases in the AC using a linear regression that estimated bias as a function of imaging and environmental factors and applied a correction to produce a new set of remote sensing ...
This correction improved bathymetry estimates for eight of the nine scenes we tested, with the resulting changes in bathymetry RMSE ranging from +0.09 m (worse) to −0.48 m (better) for a 1 to 25 m depth ...
Acknowledgments: The authors wish to thank the United States Geological Survey (USGS) for the distribution of Landsat 8 Level-1 data products. ...
doi:10.3390/rs12172752
fatcat:zq3bt7togjamvihcjkzrxkll6a
Merging Unmanned Aerial Systems (UAS) Imagery and Echo Soundings with an Adaptive Sampling Technique for Bathymetric Surveys
2018
Remote Sensing
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The refraction of light passing through air–water interface is considered for improving the bathymetric results. ...
A zonal adaptive sampling algorithm is developed and applied to the echosounder data to densify measurements where the standard deviation of clustered points is high. ...
every point of the 3D point cloud. ...
doi:10.3390/rs10091362
fatcat:uhqm2x2r7zeb3jiwpuexjxxwya
Effects of bathymetric lidar errors on flow properties predicted with a multi-dimensional hydraulic model
2014
Journal of Geophysical Research - Earth Surface
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Effects of bathymetric lidar errors on flow properties predicted with a multi-dimensional hydraulic model McKean, J.; Tonina, D.; Bohn, C.; Wright, C. W. ...
Data are available upon request from the senior author.
Journal of Geophysical Research: Earth Surface ...
Acknowledgments We gratefully acknowledge the financial support of the US Forest Service, Rocky Mountain Research Station. Comments from reviewers significantly improved the manuscript. ...
doi:10.1002/2013jf002897
fatcat:nn3pmkafwrgnhk77qkl4xgg37y
Satellite-derived bathymetry in optically complex waters using a model inversion approach and Sentinel-2 data
2020
Estuarine, Coastal and Shelf Science
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The output can be accessed at: https://repository.rothamsted.ac.uk/item/98132/-satellitederived-bathymetry-in-optically-complex-waters-using-a-model-inversion-approach-andsentinel-2-data. ...
Multibeam data were provided by the INFOMAR Programme. Tide data were obtained through the Irish National Tide Gauge Network. ESA and Copernicus are thanked for Sentinel-2 imagery. ...
Authors thank the two anonymous reviewers that with their comments helped to improve the present manuscript. ...
doi:10.1016/j.ecss.2020.106814
fatcat:w3gnphlcpzgt5godwllqxl4lnm
A Combined Approach for Retrieving Bathymetry from Aerial Stereo RGB Imagery
2022
Remote Sensing
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reliable bathymetric points, which act as the reference points of the inversion models. ...
Bathymetric inversion models using airborne/satellite multispectral data are an efficient way to retrieve shallow bathymetry due to the affordable cost of airborne/satellite images and less field work ...
Acknowledgments: The authors would like to thank the Marine Surveying and Mapping Research Center of Shanghai Ocean University for providing UAV RGB images for this research. ...
doi:10.3390/rs14030760
doaj:900377b3dd36429fa6c5d4480ffa57c2
fatcat:6kdu3yvtqbb3heeqdw6hsrto3m
Automated Global Shallow Water Bathymetry Mapping Using Google Earth Engine
2021
Remote Sensing
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We created a new method for generating a clean-water mosaic and a tailored automatic bathymetric estimation algorithm. ...
We then evaluated the performance of the models at six globally diverse sites (Heron Island, Australia; West Coast of Hawaiʻi Island, Hawaiʻi; Saona Island, Dominican Republic; Punta Cana, Dominican Republic ...
-2 imagery for bathymetric modeling. ...
doi:10.3390/rs13081469
fatcat:skrow7njbzbvxkyrshgfy4opgy
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