23.4.8.1 Shallow Water Bathymetric Mapping, Analysis

Chapter Contents (Back)
Bathymetric. Shallow Water.
See also Coastal Water Quality, Water Clarity.

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.W.[Zi-Wei],
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

Rodríguez-Padilla, I.[Isaac], Castelle, B.[Bruno], Marieu, V.[Vincent], Morichon, D.[Denis],
Video-Based Nearshore Bathymetric Inversion on a Geologically Constrained Mesotidal Beach during Storm Events,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Lewicka, O.[Oktawia], Specht, M.[Mariusz], Stateczny, A.[Andrzej], Specht, C.[Cezary], Dardanelli, G.[Gino], Brcic, D.[David], Szostak, B.[Bartosz], Halicki, A.[Armin], Stateczny, M.[Marcin], Widzgowski, S.[Szymon],
Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhong, J.[Jing], Sun, J.[Jie], Lai, Z.[Zulong], Song, Y.[Yan],
Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep Learning Approach,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wang, Y.X.[Yu-Xin], He, X.Q.[Xian-Qiang], Bai, Y.[Yan], Li, T.[Teng], Wang, D.[Difeng], Zhu, Q.[Qiankun], Gong, F.[Fang],
Satellite-Derived Bottom Depth for Optically Shallow Waters Based on Hydrolight Simulations,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Gafoor, F.A.[Fahim Abdul], Al-Shehhi, M.R.[Maryam R.], Cho, C.S.[Chung-Suk], Ghedira, H.[Hosni],
Gradient Boosting and Linear Regression for Estimating Coastal Bathymetry Based on Sentinel-2 Images,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Oerlemans, S.C.M.[Stan C. M.], Nijland, W.[Wiebe], Ellenson, A.N.[Ashley N.], Price, T.D.[Timothy D.],
Image-Based Classification of Double-Barred Beach States Using a Convolutional Neural Network and Transfer Learning,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
Sandbars. BibRef

Huang, L.Y.[Long-Yu], Meng, J.M.[Jun-Min], Fan, C.Q.[Chen-Qing], Zhang, J.[Jie], Yang, J.S.[Jing-Song],
Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Grzadziel, A.[Artur],
Application of Remote Sensing Techniques to Identification of Underwater Airplane Wreck in Shallow Water Environment: Case Study of the Baltic Sea, Poland,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Alevizos, E.[Evangelos], Alexakis, D.D.[Dimitrios D.],
Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Cui, A.[Aijun], Zhang, J.Y.[Jing-Yu], Ma, Y.[Yi], Zhang, X.[Xi],
A Noise De-Correlation Based Sun Glint Correction Method and Its Effect on Shallow Bathymetry Inversion,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Yang, Q.J.[Qing-Jie], Chen, J.Y.[Jian-Yu], Chen, B.[Benqing], Tao, B.[Bangyi],
Evaluation and Improvement of No-Ground-Truth Dual Band Algorithm for Shallow Water Depth Retrieval: A Case Study of a Coastal Island,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Awadallah, M.O.M.[Mahmoud Omer Mahmoud], Malmquist, C.[Christian], Stickler, M.[Morten], Alfredsen, K.[Knut],
Quantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition Approaches in Laerdal River in Norway,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

McCormack, B.[Bryan], Borrelli, M.[Mark],
Shallow Water Object Detection, Classification, and Localization via Phase-Measured, Bathymetry-Mode Backscatter,
RS(15), No. 6, 2023, pp. 1685.
DOI Link 2304
BibRef

Gerardo, R.[Romeu], de Lima, I.P.[Isabel P.],
Comparing the Capability of Sentinel-2 and Landsat 9 Imagery for Mapping Water and Sandbars in the River Bed of the Lower Tagus River (Portugal),
RS(15), No. 7, 2023, pp. 1927.
DOI Link 2304
BibRef

Bernardis, M.[Massimo], Nardini, R.[Roberto], Apicella, L.[Lorenza], Demarte, M.[Maurizio], Guideri, M.[Matteo], Federici, B.[Bianca], Quarati, A.[Alfonso], de Martino, M.[Monica],
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,
RS(15), No. 11, 2023, pp. 2944.
DOI Link 2306
BibRef

Xie, J.F.[Jun-Feng], Zhong, J.C.[Jin-Cheng], Mo, F.[Fan], Liu, R.[Ren], Li, X.[Xiang], Yang, X.M.[Xiao-Meng], Zeng, J.[Junze],
Denoising and Accuracy Evaluation of ICESat-2/ATLAS Photon Data for Nearshore Waters Based on Improved Local Distance Statistics,
RS(15), No. 11, 2023, pp. 2828.
DOI Link 2306
BibRef

Kwon, S.[Siyoon], Gwon, Y.[Yeonghwa], Kim, D.[Dongsu], Seo, I.W.[Il Won], You, H.[Hojun],
Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Based Hyperspectral Imagery,
RS(15), No. 11, 2023, pp. 2803.
DOI Link 2306
BibRef

Shao, J.[Jie], Wang, Y.[Yibo], Zhang, C.[Chi], Zhang, X.P.[Xu-Ping], Zhang, Y.X.[Yi-Xin],
Near-Surface Structure Investigation Using Ambient Noise in the Water Environment Recorded by Fiber-Optic Distributed Acoustic Sensing,
RS(15), No. 13, 2023, pp. 3329.
DOI Link 2307
BibRef

Wang, Z.[Zhuo], Ma, Y.X.[Yu-Xuan], Kan, G.M.[Guang-Ming], Liu, B.[Baohua], Zhou, X.H.[Xing-Hua], Zhang, X.B.[Xiao-Bo],
An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals,
RS(15), No. 13, 2023, pp. 3237.
DOI Link 2307
BibRef

Ji, X.[Xue], Ma, Y.[Yi], Zhang, J.Y.[Jing-Yu], Xu, W.X.[Wen-Xue], Wang, Y.H.[Yan-Hong],
A Sub-Bottom Type Adaption-Based Empirical Approach for Coastal Bathymetry Mapping Using Multispectral Satellite Imagery,
RS(15), No. 14, 2023, pp. 3570.
DOI Link 2307
BibRef

Huang, P.[Pei], Shi, H.H.[Hong-Hua], Wang, Z.L.[Zong-Ling],
Integrated Zoning and Spatial Heterogeneity of Coastal Watershed-Nearshore Waters,
RS(15), No. 14, 2023, pp. 3597.
DOI Link 2307
BibRef

Adhikari, A.[Arjun], Menon, H.B.[Harilal B.], Lotliker, A.[Aneesh],
Coupling of hydrography and bio-optical constituents in a shallow optically complex region using ten years of in-situ data,
PandRS(202), 2023, pp. 499-511.
Elsevier DOI 2308
Optical complexity, Bio-optical constituents, Tropical estuary, Hydrography, Ecological assessment, Indian Summer Monsoon BibRef

Gülher, E.[Emre], Alganci, U.[Ugur],
Satellite-Derived Bathymetry in Shallow Waters: Evaluation of Gokturk-1 Satellite and a Novel Approach,
RS(15), No. 21, 2023, pp. 5220.
DOI Link 2311
BibRef

Jaud, M.[Marion], Delsol, S.[Simon], Urbina-Barreto, I.[Isabel], Augereau, E.[Emmanuel], Cordier, E.[Emmanuel], Guilhaumon, F.[François], Le Dantec, N.[Nicolas], Floch, F.[France], Delacourt, C.[Christophe],
Low-Tech and Low-Cost System for High-Resolution Underwater RTK Photogrammetry in Coastal Shallow Waters,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef


Shen, Q.Y.[Qian-Yao], Mahima, K.T.Y., de Zoysa, K.[Kasun], Mottola, L.[Luca], Voigt, T.[Thiemo], Flierl, M.[Markus],
CNN-Based Estimation of Water Depth from Multispectral Drone Imagery for Mosquito Control,
ICIP23(3250-3254)
IEEE DOI 2312
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,
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Deidda, M., Pala, A., Sanna, G.,
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Montes-Hugo, M.A., Barrado, C., Pastor, E.,
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Doneus, M., Miholjek, I., Mandlburger, G., Doneus, N., Verhoeven, G., Briese, C., Pregesbauer, M.,
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Doxani, G., Papadopoulou, M., Lafazani, P., Pikridas, C., Tsakiri-Strati, M.,
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
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