A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons

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Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
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"A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons"
written by Shridhar D. Jawak, Somashekhar S. Vadlamani, Alvarinho J. Luis,
published by Advances in Remote Sensing, Vol.4 No.2, 2015

has been cited by the following article(s):

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[2]	Retrieval of nearshore bathymetry from Sentinel-1 SAR data in high energetic wave coasts: The Portuguese case study
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[3]	Optimized water depth retrieval using satellite imageries based on novel algorithms
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[4]	Bathymetry inversion using the deflection of the vertical: A case study in South China Sea
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[5]	Depth Inversion from Wave Frequencies in Temporally Augmented Satellite Video
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[6]	Evaluation of Satellite-Derived Bathymetry from High and Medium-Resolution Sensors Using Empirical Methods
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[7]	Nearshore Bathymetry Retrieval from Wave-Based Inversion for Video Imagery
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[8]	Comparative study on shallow water depth inversion based on GeoEye-1 and WorldView-2 remote sensing data
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[9]	基于 GeoEye-1 和 WorldView-2 遥感数据的浅海水深反演比较研究
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[16]	High-Resolution Satellite Bathymetry Mapping: Regression and Machine Learning-Based Approaches
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[17]	Remote sensing and the UN Ocean Decade: high expectations, big opportunities
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[18]	The Accuracy of Satellite Derived Bathymetry in Coastal and Shallow Water Zone
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[19]	Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry
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[20]	Investigation of sediment accumulation in Berdan Dam Reservoir using bathymetric measurements and Sentinel-2 Data
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[21]	Pan-european satellite-derived coastal bathymetry-review, user needs and future services
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[22]	Integration of Satellite Images and Echo-sounder Data for Mapping of Water Area: A Case Study of Huai Prue Reservoir in Thailand
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[23]	Case study of UAS videography for depth inversion within a shallow water surf zone along the Texas Gulf Coast
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[24]	Nearshore bathymetry estimation using synthetic aperture radar (SAR) imagery
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[26]	Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC
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[27]	Revisiting bathymetry dynamics in Lake Urmia using extensive field data and high-resolution satellite imagery
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[28]	Assessment of empirical algorithms for shallow water bathymetry using multi-spectral imagery of Pearl River delta coast, china
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[29]	On improved nearshore bathymetry estimates from satellites using ensemble and machine learning approaches
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[30]	An active-passive fusion strategy and accuracy evaluation for shallow water bathymetry based on ICESat-2 ATLAS laser point cloud and satellite remote sensing …
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[33]	A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering
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[75]	Bathymetric Mapping of Nigerian Coastal Waters from Optical Imagery
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[76]	4SM Method Tested in the Gulf of California Suggests Field Data are Not Needed to Derive Satellite Bathymetry
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[77]	Spatial and Temporal Analyses of Environmental Affects on Zizania Palustris and Its Natural Cycles
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[78]	Cryospheric Studies in Indian Himalayan and Polar Region: Current Status, Advances and Future Prospects of Remote Sensing
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[79]	Testing of the 4SM Method in the Gulf of California Suggests Field Data Are not Needed to Derive Satellite Bathymetry
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[80]	Nghiên cứu thành lập bản đồ độ sâu đáy biển vùng nước nông khu vực trường sa lớn bằng kỹ thuật đo sâu viễn thám
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[1]	Observation of the Coastal Areas, Estuaries and Deltas from Space Surveys in Geophysics, 2023 DOI:10.1007/s10712-022-09757-6

[2]	Improving the accuracy of bathymetry using the combined neural network and gravity wavelet decomposition method with altimetry derived gravity data Marine Geodesy, 2023 DOI:10.1080/01490419.2023.2179140

[3]	Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis Remote Sensing, 2023 DOI:10.3390/rs15051294

[4]	Using UAVs and Photogrammetry in Bathymetric Surveys in Shallow Waters Applied Sciences, 2023 DOI:10.3390/app13063420

[5]	Remote Sensing with UAVs for Modeling Floods: An Exploratory Approach Based on Three Chilean Rivers Water, 2023 DOI:10.3390/w15081502

[6]	Satellite-Derived Bathymetry for Selected Shallow Maltese Coastal Zones Applied Sciences, 2023 DOI:10.3390/app13095238

[7]	Improving the accuracy of bathymetry using the combined neural network and gravity wavelet decomposition method with altimetry derived gravity data Marine Geodesy, 2023 DOI:10.1080/01490419.2023.2179140

[8]	Preliminary examination of influence of Chlorophyll, Total Suspended Material, and Turbidity on Satellite Derived-Bathymetry estimation in coastal turbid water Regional Studies in Marine Science, 2023 DOI:10.1016/j.rsma.2023.102920

[9]	Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean International Journal of Applied Earth Observation and Geoinformation, 2023 DOI:10.1016/j.jag.2023.103328

[10]	Band-Optimized Bidirectional LSTM Deep Learning Model for Bathymetry Inversion Remote Sensing, 2023 DOI:10.3390/rs15143472

[11]	A review of new and existing non-extractive techniques for monitoring marine protected areas Frontiers in Marine Science, 2023 DOI:10.3389/fmars.2023.1126301

[12]	A Sub-Bottom Type Adaption-Based Empirical Approach for Coastal Bathymetry Mapping Using Multispectral Satellite Imagery Remote Sensing, 2023 DOI:10.3390/rs15143570

[13]	Application of machine learning algorithms and Sentinel-2 satellite for improved bathymetry retrieval in Lake Victoria, Tanzania The Egyptian Journal of Remote Sensing and Space Science, 2023 DOI:10.1016/j.ejrs.2023.07.003

[14]	Remote sensing and the UN Ocean Decade: high expectations, big opportunities Remote Sensing in Ecology and Conservation, 2022 DOI:10.1002/rse2.241

[15]	Retrieval of nearshore bathymetry from Sentinel-1 SAR data in high energetic wave coasts: The Portuguese case study Remote Sensing Applications: Society and Environment, 2022 DOI:10.1016/j.rsase.2021.100674

[16]	Bathymetry inversion using the deflection of the vertical: A case study in South China Sea Geodesy and Geodynamics, 2022 DOI:10.1016/j.geog.2022.03.003

[17]	Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry IEEE Geoscience and Remote Sensing Letters, 2022 DOI:10.1109/LGRS.2021.3095963

[18]	Optimized water depth retrieval using satellite imageries based on novel algorithms Earth Science Informatics, 2022 DOI:10.1007/s12145-021-00698-z

[19]	Evaluation of Satellite-Derived Bathymetry from High and Medium-Resolution Sensors Using Empirical Methods Remote Sensing, 2022 DOI:10.3390/rs14030772

[20]	Retrieval of nearshore bathymetry from Sentinel-1 SAR data in high energetic wave coasts: The Portuguese case study Remote Sensing Applications: Society and Environment, 2022 DOI:10.1016/j.rsase.2021.100674

[21]	High-Resolution Satellite Bathymetry Mapping: Regression and Machine Learning-Based Approaches IEEE Transactions on Geoscience and Remote Sensing, 2022 DOI:10.1109/TGRS.2021.3135462

[22]	Depth Inversion from Wave Frequencies in Temporally Augmented Satellite Video Remote Sensing, 2022 DOI:10.3390/rs14081847

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[24]	Remote sensing and the UN Ocean Decade: high expectations, big opportunities Remote Sensing in Ecology and Conservation, 2022 DOI:10.1002/rse2.241

[25]	Bathymetry inversion using the deflection of the vertical: A case study in South China Sea Geodesy and Geodynamics, 2022 DOI:10.1016/j.geog.2022.03.003

[26]	Ocean Remote Sensing Techniques and Applications: A Review (Part II) Water, 2022 DOI:10.3390/w14213401

[27]	Revisiting bathymetry dynamics in Lake Urmia using extensive field data and high-resolution satellite imagery Journal of Hydrology, 2021 DOI:10.1016/j.jhydrol.2021.126987

[28]	A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering Remote Sensing of Environment, 2021 DOI:10.1016/j.rse.2021.112326

[29]	Case study of UAS videography for depth inversion within a shallow water surf zone along the Texas Gulf Coast Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2021, 2021 DOI:10.1117/12.2599447

[30]	Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC Remote Sensing, 2021 DOI:10.3390/rs13234907

[31]	Investigation of sediment accumulation in Berdan Dam Reservoir using bathymetric measurements and Sentinel-2 Data Arabian Journal of Geosciences, 2021 DOI:10.1007/s12517-021-09089-6

[32]	Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research Journal of Ocean Engineering and Science, 2021 DOI:10.1016/j.joes.2021.02.006

[33]	Bathymetric Retrieval Selectively Using Multiangular High-Spatial-Resolution Satellite Imagery IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 DOI:10.1109/JSTARS.2020.3040186

[34]	An active-passive fusion strategy and accuracy evaluation for shallow water bathymetry based on ICESat-2 ATLAS laser point cloud and satellite remote sensing imagery International Journal of Remote Sensing, 2021 DOI:10.1080/01431161.2020.1862441

[35]	A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering Remote Sensing of Environment, 2021 DOI:10.1016/j.rse.2021.112326

[36]	Analysis of the Spatio-Temporal Evolution of Dredging from Satellite Images: A Case Study in the Principality of Asturias (Spain) Journal of Marine Science and Engineering, 2021 DOI:10.3390/jmse9030267

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[43]	Revisiting bathymetry dynamics in Lake Urmia using extensive field data and high-resolution satellite imagery Journal of Hydrology, 2021 DOI:10.1016/j.jhydrol.2021.126987

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[51]	The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy Journal of Marine Science and Engineering, 2020 DOI:10.3390/jmse8020126

[52]	Determining Bathymetry of Shallow and Ephemeral Desert Lakes Using Satellite Imagery and Altimetry Geophysical Research Letters, 2020 DOI:10.1029/2020GL087367

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[56]	Marine Environmental Characterization Synthesis Lectures on Ocean Systems Engineering, 2020 DOI:10.2200/S01006ED1V01Y202004OSE002

[57]	The impact of sensors for satellite derived bathymetry within the Canadian Arctic Geomatica, 2020 DOI:10.1139/geomat-2019-0022

[58]	Universal algorithm for water depth refraction correction in through-water stereo remote sensing International Journal of Applied Earth Observation and Geoinformation, 2020 DOI:10.1016/j.jag.2020.102108

[59]	Assessment of coastal geomorphological changes using multi-temporal Satellite-Derived Bathymetry Continental Shelf Research, 2020 DOI:10.1016/j.csr.2020.104213

[60]	Retrieval of nearshore bathymetry from Sentinel-2A and 2B satellites in South Florida coastal waters Estuarine, Coastal and Shelf Science, 2019 DOI:10.1016/j.ecss.2019.106277

[61]	A Method of Remote Sensing Water Bathymetry Based on Support Vector Machine 2019 International Conference on Communications, Information System and Computer Engineering (CISCE), 2019 DOI:10.1109/CISCE.2019.00105

[62]	Development of bathymetry extraction model from SPOT 7 satellite image IOP Conference Series: Earth and Environmental Science, 2019 DOI:10.1088/1755-1315/284/1/012032

[63]	Coastal water bathymetry retrieval using high-resolution remote sensing data Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018, 2018 DOI:10.1117/12.2324466

[64]	Satellite derived bathymetry for Arctic charting: a review of sensors and techniques for operational implementation within the Canadian Hydrographic Service Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018, 2018 DOI:10.1117/12.2324965

[65]	Mapping Multidecadal Morphological Variability Via Satellite Derived Bathymetries IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 DOI:10.1109/IGARSS.2018.8517709

[66]	Use of Bathymetric and LiDAR Data in Generating Digital Elevation Model over the Lower Athabasca River Watershed in Alberta, Canada Water, 2017 DOI:10.3390/w9010019

[67]	MBES-CARIS Data Validation for Bathymetric Mapping of Shallow Water in the Kingdom of Bahrain on the Arabian Gulf Remote Sensing, 2017 DOI:10.3390/rs9040385

[68]	Testing of the 4SM Method in the Gulf of California Suggests Field Data Are not Needed to Derive Satellite Bathymetry Sensors, 2017 DOI:10.3390/s17102248

[69]	Cryospheric Studies in Indian Himalayan and Polar Region: Current Status, Advances and Future Prospects of Remote Sensing Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2017 DOI:10.1007/s40010-017-0437-7

[70]	A review of marine geomorphometry, the quantitative study of the seafloor Hydrology and Earth System Sciences, 2016 DOI:10.5194/hess-20-3207-2016

[71]	Application of high-resolution multispectral data for mapping blue ice areas in the Antarctic environment Land Surface and Cryosphere Remote Sensing III, 2016 DOI:10.1117/12.2222770

[72]	Exploratory normalized difference water indices for semi-automated extraction of Antarctic lake features Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges, 2016 DOI:10.1117/12.2222766

[73]	High-resolution multispectral satellite imagery for extracting bathymetric information of Antarctic shallow lakes Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges, 2016 DOI:10.1117/12.2222769

[74]	Integrating Sensors into a Marine Drone for Bathymetric 3D Surveys in Shallow Waters Sensors, 2015 DOI:10.3390/s16010041

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