23.4.8.1 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.
IEEE DOI 0704
BibRef

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.
IEEE DOI 1210
BibRef

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
BibRef

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.
IEEE DOI 1402
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
BibRef

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.
IEEE DOI 1503
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
BibRef

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.
IEEE DOI 1503
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
BibRef

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.
IEEE DOI 1606
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
BibRef

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
BibRef

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
BibRef

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
BibRef
Earlier:
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
BibRef

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
BibRef

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
BibRef
Earlier:
Shallow Water Bathymetry Mapping from Uav Imagery Based On Machine Learning,
Underwater19(9-16).
DOI Link 1904
BibRef

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.
IEEE DOI 1911
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Le, Y.[Yuan], Hu, M.Z.[Meng-Zhi], Chen, Y.F.[Yi-Fu], Yan, Q.[Qian], Zhang, D.F.[Dong-Fang], Li, S.[Shuai], Zhang, X.H.[Xiao-Han], Wang, L.Z.[Li-Zhe],
Investigating the Shallow-Water Bathymetric Capability of Zhuhai-1 Spaceborne Hyperspectral Images Based on ICESat-2 Data and Empirical Approaches: A Case Study in the South China Sea,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Lee, C.H.[Chih-Hung], Liu, L.W.[Li-Wei], Wang, Y.M.[Yu-Min], Leu, J.M.[Jan-Mou], Chen, C.L.[Chung-Ling],
Drone-Based Bathymetry Modeling for Mountainous Shallow Rivers in Taiwan Using Machine Learning,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Fediuk, A.[Annika], Wunderlich, T.[Tina], Wilken, D.[Dennis], Rabbel, W.[Wolfgang],
Ground Penetrating Radar Measurements in Shallow Water Environments: A Case Study,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef


Amini, L., Kakroodi, A.A.,
Mapping Bathymetry By Landsat Data in Shallow Coastal Environment (case Study: The Southeast of The Caspian Sea),
SMPR19(83-87).
DOI Link 1912
BibRef

Said, N.M., Mahmud, M.R., Hasan, R.C.,
Satellite-derived Bathymetry: Accuracy Assessment On Depths Derivation Algorithm for Shallow Water Area,
GeoDisast17(159-164).
DOI Link 1805
BibRef

Suhari, K.T., Karim, H., Gunawan, P.H., Purwanto, H.,
Small ROV Marine Boat for Bathymetry Surveys of Shallow Waters: Potential Implementation in Malaysia,
GeoDisast17(201-208).
DOI Link 1805
BibRef

Sorensen, S., Treible, W., Kambhamettu, C.,
Surface Stereo for Shallow Underwater Scenes,
CVAUI16(37-42)
IEEE DOI 1701
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
BibRef

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,
UAV-g15(375-379).
DOI Link 1512
BibRef

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,
Underwater15(99-107).
DOI Link 1508
BibRef

Doxani, G., Papadopoulou, M., Lafazani, P., Pikridas, C., Tsakiri-Strati, M.,
Shallow-water Bathymetry Over Variable Bottom Types Using Multispectral Worldview-2 Image,
ISPRS12(XXXIX-B8:159-164).
DOI Link 1209
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Coral Reef Mapping, Analysis .


Last update:Aug 14, 2022 at 21:20:19