Shallow Water Bathymetric Mapping, Analysis

Chapter Contents (Back)
Bathymetric. Shallow Water.

Pe'eri, S.[Shachak], Philpot, W.[William],
Increasing the Existence of Very Shallow-Water LIDAR Measurements Using the Red-Channel Waveforms,
GeoRS(45), No. 5, May 2007, pp. 1217-1223.

Shrestha, K.Y., Carter, W.E., Slatton, K.C., Cossio, T.K.,
Shallow Bathymetric Mapping via Multistop Single Photoelectron Sensitivity Laser Ranging,
GeoRS(50), No. 11, November 2012, pp. 4771-4790.

Vahtmäe, E.[Ele], Kutser, T.[Tiit],
Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods,
RS(5), No. 5, 2013, pp. 2451-2474.
DOI Link 1307

Holman, R.A., Plant, N.G., Holland, K.T.,
cBathy: A robust algorithm for estimating nearshore bathymetry,
JGR(118), 2013, pp. 1-15.
DOI Link BibRef 1300

Ma, S.[Sheng], Tao, Z.[Zui], Yang, X.F.[Xiao-Feng], Yu, Y.[Yang], Zhou, X.[Xuan], Li, Z.[Ziwei],
Bathymetry Retrieval From Hyperspectral Remote Sensing Data in Optical-Shallow Water,
GeoRS(52), No. 2, February 2014, pp. 1205-1212.
airborne radar BibRef

Manessa, M.D.M.[Masita Dwi Mandini], Kanno, A.[Ariyo], Sekine, M.[Masahiko], Ampou, E.E.[Eghbert Elvan], Widagti, N.[Nuryani], As-Syakur, A.R.[A. Rahman],
Shallow-Water Benthic Identification Using Multispectral Satellite Imagery: Investigation on the Effects of Improving Noise Correction Method and Spectral Cover,
RS(6), No. 5, 2014, pp. 4454-4472.
DOI Link 1407

Eugenio, F.[Francisco], Marcello, J.[Javier], Martin, J.[Javier],
High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery,
GeoRS(53), No. 7, July 2015, pp. 3539-3549.
Atmospheric measurements BibRef

Martin, J.[Javier], Eugenio, F.[Francisco], Marcello, J.[Javier], Medina, A.[Anabella],
Automatic Sun Glint Removal of Multispectral High-Resolution Worldview-2 Imagery for Retrieving Coastal Shallow Water Parameters,
RS(8), No. 1, 2016, pp. 37.
DOI Link 1602

Cheng, L.[Liang], Ma, L.[Lei], Cai, W.T.[Wen-Ting], Tong, L.H.[Li-Hua], Li, M.C.[Man-Chun], Du, P.J.[Pei-Jun],
Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping,
GeoRS(53), No. 6, June 2015, pp. 3235-3249.
bathymetry BibRef

Pan, Z.G.[Zhi-Gang], Glennie, C.L.[Craig L.], Hartzell, P.J.[Preston J.], Fernandez-Diaz, J.C.[Juan Carlos], Legleiter, C.J.[Carl J.], Overstreet, B.[Brandon],
Performance Assessment of High Resolution Airborne Full Waveform LiDAR for Shallow River Bathymetry,
RS(7), No. 5, 2015, pp. 5133-5159.
DOI Link 1506

Pan, Z.G.[Zhi-Gang], Glennie, C.L.[Craig L.], Fernandez-Diaz, J.C.[Juan Carlos], Legleiter, C.J.[Carl J.], Overstreet, B.[Brandon],
Fusion of LiDAR Orthowaveforms and Hyperspectral Imagery for Shallow River Bathymetry and Turbidity Estimation,
GeoRS(54), No. 7, July 2016, pp. 4165-4177.
Atmospheric measurements BibRef

Blakey, T.[Tara], Melesse, A.[Assefa], Hall, M.O.[Margaret O.],
Supervised Classification of Benthic Reflectance in Shallow Subtropical Waters Using a Generalized Pixel-Based Classifier across a Time Series,
RS(7), No. 5, 2015, pp. 5098-5116.
DOI Link 1506

Bannari, A.[Abderrazak], Kadhem, G.[Ghadeer],
MBES-CARIS Data Validation for Bathymetric Mapping of Shallow Water in the Kingdom of Bahrain on the Arabian Gulf,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705

Zhang, S.S.[Shuang-Shang], Xu, Q.[Qing], Zheng, Q.[Quanan], Li, X.F.[Xiao-Feng],
Mechanisms of SAR Imaging of Shallow Water Topography of the Subei Bank,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Niroumand-Jadidi, M.[Milad], Vitti, A.[Alfonso],
Reconstruction of River Boundaries at Sub-Pixel Resolution: Estimation and Spatial Allocation of Water Fractions,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
Optimal Band Ratio Analysis Of Worldview-3 Imagery For Bathymetry Of Shallow Rivers (case Study: Sarca River, Italy),
ISPRS16(B8: 361-364).
DOI Link 1610

Marcello, J.[Javier], Eugenio, F.[Francisco], Martín, J.[Javier], Marqués, F.[Ferran],
Seabed Mapping in Coastal Shallow Waters Using High Resolution Multispectral and Hyperspectral Imagery,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Schwarz, R.[Roland], Mandlburger, G.[Gottfried], Pfennigbauer, M.[Martin], Pfeifer, N.[Norbert],
Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters,
PandRS(150), 2019, pp. 1-10.
Elsevier DOI 1903
Award, U.V. Helava, ISPRS.
Elsevier DOI LiDAR, River, Bathymetry, Shallow water, Full waveform BibRef

Agrafiotis, P.[Panagiotis], Skarlatos, D.[Dimitrios], Georgopoulos, A.[Andreas], Karantzalos, K.[Konstantinos],
DepthLearn: Learning to Correct the Refraction on Point Clouds Derived from Aerial Imagery for Accurate Dense Shallow Water Bathymetry Based on SVMs-Fusion with LiDAR Point Clouds,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
Shallow Water Bathymetry Mapping from Uav Imagery Based On Machine Learning,
DOI Link 1904

Chu, S., Cheng, L., Ruan, X., Zhuang, Q., Zhou, X., Li, M., Shi, Y.,
Technical Framework for Shallow-Water Bathymetry With High Reliability and No Missing Data Based on Time-Series Sentinel-2 Images,
GeoRS(57), No. 11, November 2019, pp. 8745-8763.
Clouds, Noise reduction, Remote sensing, Time series analysis, Cloud computing, Reliability, Satellites, Bathymetry, time series BibRef

Agrafiotis, P.[Panagiotis], Karantzalos, K.[Konstantinos], Georgopoulos, A.[Andreas], Skarlatos, D.[Dimitrios],
Correcting Image Refraction: Towards Accurate Aerial Image-Based Bathymetry Mapping in Shallow Waters,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Genchi, S.A.[Sibila A.], Vitale, A.J.[Alejandro J.], Perillo, G.M.E.[Gerardo M. E.], Seitz, C.[Carina], Delrieux, C.A.[Claudio A.],
Mapping Topobathymetry in a Shallow Tidal Environment Using Low-Cost Technology,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

Stanghellini, G.[Giuseppe], del Bianco, F.[Fabrizio], Gasperini, L.[Luca],
OpenSWAP, an Open Architecture, Low Cost Class of Autonomous Surface Vehicles for Geophysical Surveys in the Shallow Water Environment,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008

Zhang, X.C.[Xue-Chun], Ma, Y.[Yi], Zhang, J.Y.[Jing-Yu],
Shallow Water Bathymetry Based on Inherent Optical Properties Using High Spatial Resolution Multispectral Imagery,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

de Michele, M.[Marcello], Raucoules, D.[Daniel], Idier, D.[Deborah], Smai, F.[Farid], Foumelis, M.[Michael],
Shallow Bathymetry from Multiple Sentinel 2 Images via the Joint Estimation of Wave Celerity and Wavelength,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Reif, M.K.[Molly K.], Krumwiede, B.S.[Brandon S.], Brown, S.E.[Steven E.], Theuerkauf, E.J.[Ethan J.], Harwood, J.H.[Joseph H.],
Nearshore Benthic Mapping in the Great Lakes: A Multi-Agency Data Integration Approach in Southwest Lake Michigan,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108

Ranndal, H.[Heidi], Christiansen, P.S.[Philip Sigaard], Kliving, P.[Pernille], Andersen, O.B.[Ole Baltazar], Nielsen, K.[Karina],
Evaluation of a Statistical Approach for Extracting Shallow Water Bathymetry Signals from ICESat-2 ATL03 Photon Data,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109

Holman, R.[Rob], Bergsma, E.W.J.[Erwin W. J.],
Updates to and Performance of the cBathy Algorithm for Estimating Nearshore Bathymetry from Remote Sensing Imagery,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110

See also cBathy: A robust algorithm for estimating nearshore bathymetry. BibRef

Giles, A.B.[Anna B.], Davies, J.E.[James Edward], Ren, K.[Keven], Kelaher, B.[Brendan],
A deep learning algorithm to detect and classify sun glint from high-resolution aerial imagery over shallow marine environments,
PandRS(181), 2021, pp. 20-26.
Elsevier DOI 2110
Sun Glint, Deep Learning, Artificial Neural Network, Drones, U-net, Aerial Imagery BibRef

Amrari, S.[Sélim], Bourassin, E.[Emmanuel], Andréfouët, S.[Serge], Soulard, B.[Benoit], Lemonnier, H.[Hugues], Le Gendre, R.[Romain],
Shallow Water Bathymetry Retrieval Using a Band-Optimization Iterative Approach: Application to New Caledonia Coral Reef Lagoons Using Sentinel-2 Data,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110

Almar, R.[Rafael], Bergsma, E.W.J.[Erwin W. J.], Thoumyre, G.[Gregoire], Baba, M.W.[Mohamed Wassim], Cesbron, G.[Guillaume], Daly, C.[Christopher], Garlan, T.[Thierry], Lifermann, A.[Anne],
Global Satellite-Based Coastal Bathymetry from Waves,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112

Al Najar, M.[Mahmoud], Benshila, R.[Rachid], El Bennioui, Y.[Youssra], Thoumyre, G.[Grégoire], Almar, R.[Rafael], Bergsma, E.W.J.[Erwin W. J.], Delvit, J.M.[Jean-Marc], Wilson, D.G.[Dennis G.],
Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

Xie, C.S.[Cong-Shuang], Chen, P.[Peng], Pan, D.[Delu], Zhong, C.[Chunyi], Zhang, Z.H.[Zhen-Hua],
Improved Filtering of ICESat-2 Lidar Data for Nearshore Bathymetry Estimation Using Sentinel-2 Imagery,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112

Gawehn, M.[Matthijs], de Vries, S.[Sierd], Aarninkhof, S.[Stefan],
A Self-Adaptive Method for Mapping Coastal Bathymetry On-The-Fly from Wave Field Video,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112

Collins, A.M.[Adam M.], Geheran, M.P.[Matthew P.], Hesser, T.J.[Tyler J.], Bak, A.S.[Andrew Spicer], Brodie, K.L.[Katherine L.], Farthing, M.W.[Matthew W.],
Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112

Liu, X.Y.[Xu-Ying], Cheng, X.[Xiao], Liang, Q.[Qi], Li, T.[Teng], Peng, F.[Fukai], Chi, Z.H.[Zhao-Hui], He, J.Y.[Jia-Ying],
Grounding Event of Iceberg D28 and Its Interactions with Seabed Topography,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

Lubczonek, J.[Jacek], Kazimierski, W.[Witold], Zaniewicz, G.[Grzegorz], Lacka, M.[Malgorzata],
Methodology for Combining Data Acquired by Unmanned Surface and Aerial Vehicles to Create Digital Bathymetric Models in Shallow and Ultra-Shallow Waters,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

Letard, M.[Mathilde], Collin, A.[Antoine], Corpetti, T.[Thomas], Lague, D.[Dimitri], Pastol, Y.[Yves], Ekelund, A.[Anders],
Classification of Land-Water Continuum Habitats Using Exclusively Airborne Topobathymetric Lidar Green Waveforms and Infrared Intensity Point Clouds,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201

Sledziowski, J.[Jakub], Terefenko, P.[Pawel], Giza, A.[Andrzej], Forczmanski, P.[Pawel], Lysko, A.[Andrzej], Macków, W.[Witold], Stepien, G.[Grzegorz], Tomczak, A.[Arkadiusz], Kurylczyk, A.[Apoloniusz],
Application of Unmanned Aerial Vehicles and Image Processing Techniques in Monitoring Underwater Coastal Protection Measures,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202

Alevizos, E.[Evangelos], Oikonomou, D.[Dimitrios], Argyriou, A.V.[Athanasios V.], Alexakis, D.D.[Dimitrios D.],
Fusion of Drone-Based RGB and Multi-Spectral Imagery for Shallow Water Bathymetry Inversion,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

Innangi, S.[Sara], Innangi, M.[Michele], di Febbraro, M.[Mirko], di Martino, G.[Gabriella], Sacchi, M.[Marco], Tonielli, R.[Renato],
Continuous, High-Resolution Mapping of Coastal Seafloor Sediment Distribution,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

Mohamed, H.[Hassan], Nadaoka, K.[Kazuo], Nakamura, T.[Takashi],
Automatic Semantic Segmentation of Benthic Habitats Using Images from Towed Underwater Camera in a Complex Shallow Water Environment,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Gawehn, M.[Matthijs], Almar, R.[Rafael], Bergsma, E.W.J.[Erwin W. J.], de Vries, S.[Sierd], Aarninkhof, S.[Stefan],
Depth Inversion from Wave Frequencies in Temporally Augmented Satellite Video,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Santos, D.[Diogo], Abreu, T.[Tiago], Silva, P.A.[Paulo A.], Santos, F.[Fábio], Baptista, P.[Paulo],
Nearshore Bathymetry Retrieval from Wave-Based Inversion for Video Imagery,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205

Lubac, B.[Bertrand], Burvingt, O.[Olivier], Lerma, A.N.[Alexandre Nicolae], Sénéchal, N.[Nadia],
Performance and Uncertainty of Satellite-Derived Bathymetry Empirical Approaches in an Energetic Coastal Environment,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Amini, L., Kakroodi, A.A.,
Mapping Bathymetry By Landsat Data in Shallow Coastal Environment (case Study: The Southeast of The Caspian Sea),
DOI Link 1912

Said, N.M., Mahmud, M.R., Hasan, R.C.,
Satellite-derived Bathymetry: Accuracy Assessment On Depths Derivation Algorithm for Shallow Water Area,
DOI Link 1805

Suhari, K.T., Karim, H., Gunawan, P.H., Purwanto, H.,
Small ROV Marine Boat for Bathymetry Surveys of Shallow Waters: Potential Implementation in Malaysia,
DOI Link 1805

Sorensen, S., Treible, W., Kambhamettu, C.,
Surface Stereo for Shallow Underwater Scenes,
Cameras BibRef

Deidda, M., Pala, A., Sanna, G.,
A New IDL Implementation Of The Jupp Method For Bathymetry Extraction In Shallow Waters,
ISPRS16(B7: 467-474).
DOI Link 1610

Montes-Hugo, M.A., Barrado, C., Pastor, E.,
A New Technique Based on Mini-UAS for Estimating Water and Bottom Radiance Contributions in Optically Shallow Waters,
DOI Link 1512

Doneus, M., Miholjek, I., Mandlburger, G., Doneus, N., Verhoeven, G., Briese, C., Pregesbauer, M.,
Airborne Laser Bathymetry for Documentation of Submerged Archaeological Sites in Shallow Water,
DOI Link 1508

Doxani, G., Papadopoulou, M., Lafazani, P., Pikridas, C., Tsakiri-Strati, M.,
Shallow-water Bathymetry Over Variable Bottom Types Using Multispectral Worldview-2 Image,
DOI Link 1209

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Last update:Jun 19, 2022 at 13:58:21