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Journal articles on the topic 'Airborne laser bathymetry'

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Published: 2 June 2025
Last updated: 31 July 2025

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1

OZAWA, Atsumasa, Takayuki OKABE, Yutaka KAWAMURA, Naohiro MIYASAKU, and Kikuo TACHIBANA. "Airborne Laser Bathymetry Technology." Journal of the Japan society of photogrammetry and remote sensing 56, no. 6 (2017): 289–94. http://dx.doi.org/10.4287/jsprs.56.289.

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2

Himmelsbach, Theresa, Jan Rhomberg-Kauert, Gottfried Mandlburger, Wolfgang Dobler, Bernhard Gems, and Markus Aufleger. "Airborne and UAV-borne Laser Bathymetry applied to a mountain river reach." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W10-2025 (July 7, 2025): 131–38. https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-131-2025.

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Abstract. Mapping mountain river bathymetry poses significant challenges due to low flow depths, variable bed topography, and whitewater rapids, which hinder most survey techniques. This study explores the use of airborne and Unmanned Aerial Vehicle (UAV) laser bathymetry to address these challenges. Two topo-bathymetric RIEGL sensors, VQ-880-G (aircraft) and VQ-840-GL (UAV), were applied to a 500m section of the Fischbach River in the Ötztaler Alps (Austria), characterized by step-pool morphology and high bed roughness. The surveys carried out under low flow conditions showed the superior per
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Doneus, Michael, Nives Doneus, Christian Briese, Michael Pregesbauer, Gottfried Mandlburger, and Geert Verhoeven. "Airborne Laser Bathymetry – detecting and recording submerged archaeological sites from the air." Journal of Archaeological Science 40, no. 4 (2013): 2136–51. https://doi.org/10.1016/j.jas.2012.12.021.

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A new generation of airborne bathymetric laser scanners utilises short green laser pulses for high resolution hydrographic surveying in very shallow waters. The paper investigates its use for the documentation of submerged archaeological structures, introducing the concept of airborne laser bathymetry and focussing on a number of challenges this novel technology still has to face. Using this method, an archaeological pilot study on the northern Adriatic coast of Croatia has revealed sunken structures of a Roman villa. The results demonstrate the potential of this novel technique to map submerg
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Saputra, L. R., I. M. Radjawane, H. Park, and H. Gularso. "Effect of Turbidity, Temperature and Salinity of Waters on Depth Data from Airborne LiDAR Bathymetry." IOP Conference Series: Earth and Environmental Science 925, no. 1 (2021): 012056. http://dx.doi.org/10.1088/1755-1315/925/1/012056.

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Abstract The influence of seawater parameters cannot be ignored when conducting bathymetric LiDAR (Laser Induced Detection and Ranging or Light Detection and Ranging) surveys such as turbidity, temperature, and salinity. Turbidity affects the attenuation diffusion coefficient of the green laser is penetrating the air column. The comparison of LiDAR bathymetric depth with Secchi disk depth is used as a reference in determining the effect of turbidity. The results are in locations with primarily clear water the ability of LiDAR can penetrate up to 7m, while in turbid waters up to 3m. On average,
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Hohenthal, Johanna, Petteri Alho, Juha Hyyppä, and Hannu Hyyppä. "Laser scanning applications in fluvial studies." Progress in Physical Geography: Earth and Environment 35, no. 6 (2011): 782–809. http://dx.doi.org/10.1177/0309133311414605.

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During recent decades, the use of high-resolution light detection and ranging altimetry (LiDAR) data in fluvial studies has rapidly increased. Airborne laser scanning (ALS) can be used to extensively map riverine topography. Although airborne blue/green LiDAR can also be utilized for the mapping of river bathymetry, the accuracy levels achieved are not as good as those of terrain elevation measurements. Moreover, airborne bathymetric LiDAR is not yet suitable for mapping shallow water areas. More detailed topographical data may be obtained by fixed-position terrestrial laser scanning (TLS) or
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Haines, Joseph C., Maria V. Peppa, Christos Iliadis, Jon P. Mills, Vassilis Glenis, and Gottfried Mandlburger. "Evaluation of ULS Bathymetry for Hydrodynamic Modelling." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W10-2025 (July 7, 2025): 115–22. https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-115-2025.

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Abstract. The importance of accurate and reliable DTMs are paramount for hydrodynamic modelling. Currently, bathymetry is either not considered or a simpler mathematical representation of the river is created from observed cross sections for hydrodynamic models. Topographic and Bathymetric LiDAR creates centimetre resolution bathymetry and topography. However, it has not been applied into large scale hydrodynamic modelling. Following a major flood event in September 2024, a large fieldwork campaign on the Pielach River, Lower Austria, was conducted to capture the environmental changes using To
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7

Long, Bernard, Françis Aucoin, Stéphane Montreuil, Valérie Robitaille, and Régis Xhardé. "AIRBORNE LIDAR BATHYMETRY APPLIED TO COASTAL HYDRODYNAMIC PROCESSES." Coastal Engineering Proceedings 1, no. 32 (2011): 26. http://dx.doi.org/10.9753/icce.v32.sediment.26.

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In this study, the possibility to get sedimentological (density, compaction) and hydrodynamical (suspended sediment concentration, turbulence) information from ALB surveys is demonstrated. ALB laser reflectance was found to be higher on the lee-side and on the crest of the ripple bedform than in the trough and on the stoss-side. Moreover, laser reflectance was also found to be higher on “active” subtidal dunes, located within the depth of action of the waves, than on deeper “passive” bedforms. Based on lab experiments conducted in a hydraulic flume under X-ray CT-Scanner, these observations we
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8

Kuang, Lei, Mingquan Liu, Dongfang Zhang, Chengjun Li, and Lihe Wu. "An Improved Size and Direction Adaptive Filtering Method for Bathymetry Using ATLAS ATL03 Data." Remote Sensing 17, no. 13 (2025): 2242. https://doi.org/10.3390/rs17132242.

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The Advanced Topographic Laser Altimeter System (ATLAS) on the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) employs a photon-counting detection mode with a 532 nm laser to obtain high-precision Earth surface elevation data and offers a new remote sensing method for nearshore bathymetry. The key issues in using ATLAS ATL03 data for bathymetry are achieving automatic and accurate extraction of signal photons in different water environments. Especially for areas with sharply fluctuating topography, the interaction of various impacts, such as topographic fluctuations, sea waves, and laser
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9

Guo, Xiaozu, Xiaoyi Jin, and Shuanggen Jin. "Shallow Water Bathymetry Mapping from ICESat-2 and Sentinel-2 Based on BP Neural Network Model." Water 14, no. 23 (2022): 3862. http://dx.doi.org/10.3390/w14233862.

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Accurate shallow water bathymetry data are essential for coastal construction and management, marine traffic, and shipping. With the development of remote sensing satellites and sensors, the satellite-derived bathymetry (SDB) method has been widely used for bathymetry in shallow water areas. However, traditional satellite bathymetry requires in-situ bathymetric data. Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) with the advanced high-resolution topographic laser altimeter system (ATLAS) provides a new technical tool and makes up for the shortcomings of traditional bathymetric methods
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10

Wong, H., and A. Antoniou. "One-dimensional signal processing techniques for airborne laser bathymetry." IEEE Transactions on Geoscience and Remote Sensing 32, no. 1 (1994): 35–46. http://dx.doi.org/10.1109/36.285187.

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11

Wong, H. C., and A. Antoniou. "Two-dimensional signal processing techniques for airborne laser bathymetry." IEEE Transactions on Geoscience and Remote Sensing 34, no. 1 (1996): 57–66. http://dx.doi.org/10.1109/36.481893.

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12

Alevizos, Evangelos. "A Combined Machine Learning and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data." Remote Sensing 12, no. 21 (2020): 3489. http://dx.doi.org/10.3390/rs12213489.

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Mapping shallow bathymetry by means of optical remote sensing has been a challenging task of growing interest in recent years. Particularly, many studies exploit earlier empirical models together with the latest multispectral satellite imagery (e.g., Sentinel 2, Landsat 8). However, in these studies, the accuracy of resulting bathymetry is (a) limited for deeper waters (>15 m) and/or (b) is being influenced by seafloor type albedo. This study explores further the capabilities of hyperspectral satellite imagery (Hyperion), which provides several spectral bands in the visible spectrum, along
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Wang, Y., T. Kato, R. Abe, N. Maebashi, T. Tachi, and N. Kishimoto. "ACCURACY OF MEASURING THE BOTTOM OF A POND BY AIRBORNE LIDAR BATHYMETRY (ALB)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 73–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-73-2020.

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Abstract. Airborne Lidar Bathymetry (ALB) is a technology for characterizing the depths of shallow-water bodies in relatively transparent waters from an airborne platform using a scanning and pulsed light beam. A bathymetric LiDAR usually uses wo laser pulses: one is a near-infrared (NIR) laser pulse for land topography and the other is a green laser pulse for submarine topography. In recent years, ALB has become more popular in river and coastal surveying in Japan. The accuracy of ALB has been verified by comparison with the results of acoustic sounding or levelling. However, since the compar
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14

Parrish, Christopher E., Lori A. Magruder, Amy L. Neuenschwander, Nicholas Forfinski-Sarkozi, Michael Alonzo, and Michael Jasinski. "Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS’s Bathymetric Mapping Performance." Remote Sensing 11, no. 14 (2019): 1634. http://dx.doi.org/10.3390/rs11141634.

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NASA’s Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was launched in September, 2018. The satellite carries a single instrument, ATLAS (Advanced Topographic Laser Altimeter System), a green wavelength, photon-counting lidar, enabling global measurement and monitoring of elevation with a primary focus on the cryosphere. Although bathymetric mapping was not one of the design goals for ATLAS, pre-launch work by our research team showed the potential to map bathymetry with ICESat-2, using data from MABEL (Multiple Altimeter Beam Experimental Lidar), NASA’s high-altitude airborne ATLAS emul
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15

Ji, Xue, Yi Ma, Jingyu Zhang, Wenxue Xu, and Yanhong Wang. "A Sub-Bottom Type Adaption-Based Empirical Approach for Coastal Bathymetry Mapping Using Multispectral Satellite Imagery." Remote Sensing 15, no. 14 (2023): 3570. http://dx.doi.org/10.3390/rs15143570.

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Accurate bathymetric data in shallow water is of increasing importance for navigation safety, coastal management, and marine transportation. Satellite-derived bathymetry (SDB) is widely accepted as an effective alternative to conventional acoustic measurements in coastal areas, providing high spatial and temporal resolution combined with extensive repetitive coverage. Many previous empirical SDB approaches are unsuitable for precision bathymetry mapping in various scenarios, due to the assumption of homogeneous bottom over the whole region, as well as the neglect of various interfering factors
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16

Li, Jie, Zhipeng Dong, Lubin Chen, Qiuhua Tang, Jiaoyu Hao, and Yujie Zhang. "Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data." Remote Sensing 17, no. 2 (2025): 265. https://doi.org/10.3390/rs17020265.

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In the active–passive fusion-based bathymetry inversion method using single-temporal images, image data often suffer from errors due to inadequate atmospheric correction and interference from neighboring land and water pixels. This results in the generation of noise, making high-quality data difficult to obtain. To address this problem, this paper introduces a multi-temporal image fusion method. First, a median filter is applied to separate land and water pixels, eliminating the influence of adjacent land and water pixels. Next, multiple images captured at different times are fused to remove n
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17

Kogut, Tomasz, and Adam Slowik. "Classification of Airborne Laser Bathymetry Data Using Artificial Neural Networks." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 1959–66. http://dx.doi.org/10.1109/jstars.2021.3050799.

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18

Riederer, Katharina, David Simböck, and Gottfried Mandlburger. "Detection and documentation of a submerged neolithic pile dwelling settlement using airborne laser bathymetry and multimedia photogrammetry - A case study at lake Mondsee." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W10-2025 (July 7, 2025): 247–54. https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-247-2025.

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Abstract. This study presents a comparative analysis of airborne laser bathymetry (ALB) and multimedia photogrammetry for the detection and documentation of a submerged Neolithic pile dwelling settlement in Lake Mondsee, Austria. High-resolution ALB data acquired with a UAV-mounted bathymetric laser scanner and aerial images were processed and evaluated for suitability to identify submerged wooden piles and associated archaeological features. The results demonstrate that ALB delivers superior data quality, allowing the detection of small-scale structures even at depths of up to 7 m, while mult
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19

Mandlburger, G., N. Pfeifer, and U. Soergel. "WATER SURFACE RECONSTRUCTION IN AIRBORNE LASER BATHYMETRY FROM REDUNDANT BED OBSERVATIONS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 13, 2017): 123–30. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-123-2017.

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In airborne laser bathymetry knowledge of exact water level heights is a precondition for applying run-time and refraction correction of the raw laser beam travel path in the medium water. However, due to specular reflection especially at very smooth water surfaces often no echoes from the water surface itself are recorded (drop outs). In this paper, we first discuss the feasibility of reconstructing the water surface from redundant observations of the water bottom in theory. Furthermore, we provide a first practical approach for solving this problem, suitable for static and locally planar wat
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20

Richter, K., D. Mader, P. Westfeld, and H. G. Maas. "NUMERICAL SIMULATION AND EXPERIMENTAL VALIDATION OF WAVE PATTERN INDUCED COORDINATE ERRORS IN AIRBORNE LIDAR BATHYMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 961–67. http://dx.doi.org/10.5194/isprs-archives-xlii-2-961-2018.

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Airborne LiDAR bathymetry (ALB) requires a refraction correction on the basis of Snell’s law at the air-water interface and a speedof- light correction to be applied on the raw laser data in order to achieve a geometric accurate representation of the water bottom. Strictly speaking, this requires exact knowledge about the local water surface inclination. If this information is not available, certain simplifications have to be introduced in correction methods. Common correction methods assume either a horizontal or a locally tilted planar water surface as well as an infinitesimally small thin l
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Maas, H. G., D. Mader, K. Richter, and P. Westfeld. "IMPROVEMENTS IN LIDAR BATHYMETRY DATA ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W10 (April 17, 2019): 113–17. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w10-113-2019.

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<p><strong>Abstract.</strong> Airborne Lidar Bathymetry is a laser scanning technique to measure waterbody bottom topography in shallow waterbodies with limited turbidity. The topic has recently gained relevance due to the advent of new sensor technologies allowing for much higher spatial resolution in bathymetry data capture and due to guidelines demanding regular monitoring of waterbodies. In our contribution, we focus on three important aspects of lidar bathymetry: In the first part, systematic effects of wave patterns will be analysed in order to derive waterbody coordina
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Shen Erhua, 申二华, 张永生 Zhang Yongsheng, and 李凯 Li Kai. "Positioning Model and Simulation of Conical Scanning Airborne Laser Bathymetry System." Chinese Journal of Lasers 43, no. 2 (2016): 0214001. http://dx.doi.org/10.3788/cjl201643.0214001.

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23

NAKAMURA, Satoshi. "ACCURACY VERIFICATION OF AIRBORNE GREEN LASER BATHYMETRY IN THE SURF ZONE." Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 74, no. 2 (2018): I_1447—I_1452. http://dx.doi.org/10.2208/kaigan.74.i_1447.

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Guo, Kai, Qingquan Li, Qingzhou Mao, et al. "Errors of Airborne Bathymetry LiDAR Detection Caused by Ocean Waves and Dimension-Based Laser Incidence Correction." Remote Sensing 13, no. 9 (2021): 1750. http://dx.doi.org/10.3390/rs13091750.

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Ocean waves are a vital environmental factor that affects the accuracy of airborne laser bathymetry (ALB) systems. As the regional water surface undulates with randomness, the laser propagation direction through the air–water surface will change and impact the underwater topographic result from the ALB system, especially for the small laser divergence system. However, the natural ocean surface changes rapidly over time, and uneven ocean surface point clouds from ALB scanning will cause an uncertain estimation of the laser propagation direction; therefore, a self-adaptive correction method base
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25

Doneus, M., I. Miholjek, G. Mandlburger, et al. "AIRBORNE LASER BATHYMETRY FOR DOCUMENTATION OF SUBMERGED ARCHAEOLOGICAL SITES IN SHALLOW WATER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W5 (April 9, 2015): 99–107. http://dx.doi.org/10.5194/isprsarchives-xl-5-w5-99-2015.

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Knowledge of underwater topography is essential to the understanding of the organisation and distribution of archaeological sites along and in water bodies. Special attention has to be paid to intertidal and inshore zones where, due to sea-level rise, coastlines have changed and many former coastal sites are now submerged in shallow water. Mapping the detailed inshore topography is therefore important to reconstruct former coastlines, identify sunken archaeological structures and locate potential former harbour sites. However, until recently archaeology has lacked suitable methods to provide t
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Mandlburger, G., J. Kremer, F. Steinbacher, and R. Baran. "INVESTIGATING THE USE OF COASTAL BLUE IMAGERY FOR BATHYMETRIC MAPPING OF INLAND WATER BODIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 275–82. http://dx.doi.org/10.5194/isprs-archives-xlii-1-275-2018.

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<p><strong>Abstract.</strong> In this contribution, we report on an experimental airborne data acquisition with two medium format cameras (Coastal Blue, RGB) and a topo-bathymetric laser scanner for capturing the bathymetry of a dozen of groundwater supplied lakes located near Augsburg, Germany. The specific research question was to investigate whether the use of high-resolution Coastal Blue imagery (λ<span class="thinspace"></span>=<span class="thinspace"></span>400–460<span class="thinspace"></span>nm) provide
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Dong, Ruichun, Xin Fang, Xiangqian Meng, Chengyun Yang, and Tao Li. "Enhancing Underwater LiDAR Accuracy Through a Multi-Scattering Model for Pulsed Laser Echoes." Remote Sensing 17, no. 13 (2025): 2251. https://doi.org/10.3390/rs17132251.

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In airborne LiDAR measurements of shallow water bathymetry, conventional data processing often overlooks the radiative losses associated with multiple scattering events, affecting detection accuracy. This study presents a Monte Carlo-based approach to construct a mathematical model that accurately characterizes the multiple returns in airborne laser bathymetric systems. The model enables rapid simulation of laser propagation through water, accounting for multiple scattering events. Based on the Beer–Lambert law and incorporating the parameters of typical Jerlov 1 clear coastal water, the propo
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Kogut, Tomasz, Joachim Niemeyer, and Aleksandra Bujakiewicz. "Neural networks for the generation of sea bed models using airborne lidar bathymetry data." Geodesy and Cartography 65, no. 1 (2016): 41–54. http://dx.doi.org/10.1515/geocart-2016-0007.

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Abstract Various sectors of the economy such as transport and renewable energy have shown great interest in sea bed models. The required measurements are usually carried out by ship-based echo sounding, but this method is quite expensive. A relatively new alternative is data obtained by airborne lidar bathymetry. This study investigates the accuracy of these data, which was obtained in the context of the project ‘Investigation on the use of airborne laser bathymetry in hydrographic surveying’. A comparison to multi-beam echo sounding data shows only small differences in the depths values of th
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Westfeld, P., K. Richter, H. G. Maas, and Robert Weiß. "ANALYSIS OF THE EFFECT OFWAVE PATTERNS ON REFRACTION IN AIRBORNE LIDAR BATHYMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 2, 2016): 133–39. http://dx.doi.org/10.5194/isprsarchives-xli-b1-133-2016.

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This contribution investigates the effects of wave patterns on 3D point coordinate accuracy in LiDAR bathymetry. The finite diameter refracted laser pulse path passing the air/water interface is modelled differentially and in a strict manner. Typical wave patterns are simulated and their impact on the 3D coordinates at the bottom of the water body are analysed. It can be shown that the effects of waves within small LiDAR bathymetry footprints on the depth and planimetry coordinates is significant. Planimetric effects may reach several decimetres or even metres, and depth coordinate errors also
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Westfeld, P., K. Richter, H. G. Maas, and Robert Weiß. "ANALYSIS OF THE EFFECT OFWAVE PATTERNS ON REFRACTION IN AIRBORNE LIDAR BATHYMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 2, 2016): 133–39. http://dx.doi.org/10.5194/isprs-archives-xli-b1-133-2016.

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This contribution investigates the effects of wave patterns on 3D point coordinate accuracy in LiDAR bathymetry. The finite diameter refracted laser pulse path passing the air/water interface is modelled differentially and in a strict manner. Typical wave patterns are simulated and their impact on the 3D coordinates at the bottom of the water body are analysed. It can be shown that the effects of waves within small LiDAR bathymetry footprints on the depth and planimetry coordinates is significant. Planimetric effects may reach several decimetres or even metres, and depth coordinate errors also
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31

Kogut, Tomasz, and Krzysztof Bakuła. "Improvement of Full Waveform Airborne Laser Bathymetry Data Processing based on Waves of Neighborhood Points." Remote Sensing 11, no. 10 (2019): 1255. http://dx.doi.org/10.3390/rs11101255.

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Measurements of the topography of the sea floor are one of the main tasks of hydrographic organizations worldwide. The occurrence of any disaster in maritime traffic can contaminate the environment for many years. Therefore, increasing attention is being paid to the development of effective methods for the detection and monitoring of possible obstacles on the transport route. Bathymetric laser scanners record the full waveform reflected from the object (target). Its transformation allows to obtain information about the water surface, water column, seabed, and the objects on it. However, it is
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YOSHIDA, Keisuke, Shiro MAENO, Koji MANO, Tomohiro IWAKI, Syuhei OGAWA, and Ryosuke AKOH. "DETERMINATION METHOD FOR VEGETATION SPECIES DISTRIBUTION IN RIVERS USING AIRBORNE LASER BATHYMETRY." Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)) 73, no. 2 (2017): I_607—I_618. http://dx.doi.org/10.2208/jscejam.73.i_607.

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33

Doneus, Michael, Nives Doneus, Christian Briese, Michael Pregesbauer, Gottfried Mandlburger, and Geert Verhoeven. "Airborne laser bathymetry – detecting and recording submerged archaeological sites from the air." Journal of Archaeological Science 40, no. 4 (2013): 2136–51. http://dx.doi.org/10.1016/j.jas.2012.12.021.

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34

Kogut, T., M. Weistock, and K. Bakuła. "CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (September 17, 2019): 143–48. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-143-2019.

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<p><strong>Abstract.</strong> Modern full-waveform laser bathymetric scanners offer the possibility of a practical application of airborne laser bathymetry (ALB) data algorithms as a valuable source of information in the study of the aquatic environment. The reliability of the obtained results and the efficiency of the classification depend on the applied features. The input data for the classifier should consist of variables that have the ability to discriminate within the data set, for the detection and classification of objects on the seabed. The automatic detection of und
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Varbla, Sander. "The Influence of Bathymetry on Regional Marine Geoid Modeling in Northern Europe." Journal of Marine Science and Engineering 10, no. 6 (2022): 793. http://dx.doi.org/10.3390/jmse10060793.

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Although Northern Europe has been the target area in many regionwide geoid determination studies, the research has been land-focused, neglecting bathymetry information. With new projects, such as the Baltic Sea Chart Datum 2000, the attention is shifting toward the marine geoid. Hence, consideration for bathymetry has become relevant, the influence of which is studied. In the relatively shallow Baltic Sea, accounting for bathymetry-based residual terrain model reduction during gravity data processing induces marine geoid modeling differences (relative to neglecting bathymetry) mainly within 2
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Schwarz, Roland, and Martin Pfennigbauer. "Pre-Detection and Pre-Registration Averaging of Full Wave Signals in Airborne LiDAR Bathymetry." Remote Sensing 16, no. 20 (2024): 3827. http://dx.doi.org/10.3390/rs16203827.

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A well-known technique to enhance the signal to noise ratio (SNR) of repetitive signals is to average them. The coherent parts of the signal add up constructively while the incoherent parts are averaged out. The prerequisite is that the signals are acquired under conditions of high repeatability, i.e., the signals must be sufficiently similar. In the present technical note, we describe an efficient method for maintaining signal similarity by ensuring spatial and temporal proximity of laser waveform signals obtained by a sensor operated from an airborne platform. The method makes use of a few a
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37

Sheng, L., J. Bai, G. W. Zhou, Y. Zhao, and Y. C. Li. "Research on bathymetry estimation by Worldview-2 based with the semi-analytical model." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1305–9. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1305-2015.

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South Sea Islands of China are far away from the mainland, the reefs takes more than 95% of south sea, and most reefs scatter over interested dispute sensitive area. Thus, the methods of obtaining the reefs bathymetry accurately are urgent to be developed. Common used method, including sonar, airborne laser and remote sensing estimation, are limited by the long distance, large area and sensitive location. Remote sensing data provides an effective way for bathymetry estimation without touching over large area, by the relationship between spectrum information and bathymetry. Aimed at the water q
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Huang Yifan, 黄宜帆, 贺岩 He Yan, 朱小磊 Zhu Xiaolei та 徐广袖 Xu Guangxiu. "一种适用于不同水质机载激光测深的深度学习方法". Chinese Journal of Lasers 52, № 1 (2025): 0110003. https://doi.org/10.3788/cjl241064.

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Guo, Kai, Wenxue Xu, Yanxiong Liu, Xiufeng He, and Ziwen Tian. "Gaussian Half-Wavelength Progressive Decomposition Method for Waveform Processing of Airborne Laser Bathymetry." Remote Sensing 10, no. 2 (2017): 35. http://dx.doi.org/10.3390/rs10010035.

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Pöppl, F., G. Mandlburger, and N. Pfeifer. "EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W3-2023 (October 19, 2023): 161–66. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-161-2023.

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Abstract. Airborne laser scanning allows for efficient acquisition of accurate 3D data for large areas. Because georeferencing of the LiDAR data requires knowledge of the platform trajectory, the laser scanner system commonly comprises a global navigation satellite system (GNSS) receiver/antenna and an inertial measurement unit (IMU). The standard processing pipeline consists of GNSS/IMU integration, georeferencing, and subsequent adjustment of the laser data. Here, we consider a holistic GNSS/IMU/LiDAR-integration approach based on least-squares adjustment. The GNSS is loosely coupled, and th
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41

Pepe, M., and G. Prezioso. "A MATLAB GEODETIC SOFTWARE FOR PROCESSING AIRBORNE LIDAR BATHYMETRY DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W5 (April 9, 2015): 167–70. http://dx.doi.org/10.5194/isprsarchives-xl-5-w5-167-2015.

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The ability to build three-dimensional models through technologies based on satellite navigation systems GNSS and the continuous development of new sensors, as Airborne Laser Scanning Hydrography (ALH), data acquisition methods and 3D multi-resolution representations, have contributed significantly to the digital 3D documentation, mapping, preservation and representation of landscapes and heritage as well as to the growth of research in this fields. <br><br> However, GNSS systems led to the use of the ellipsoidal height; to transform this height in orthometric is necessary to know
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Xiao, Xingyuan, Zhengkun Jiang, Wenxue Xu, Yadong Guo, Yanxiong Liu, and Zhen Guo. "The Influence of Refractive Index Changes in Water on Airborne LiDAR Bathymetric Errors." Journal of Marine Science and Engineering 12, no. 3 (2024): 435. http://dx.doi.org/10.3390/jmse12030435.

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Due to the limitations of measurement equipment and the influence of factors such as the environment and target, measurement errors may occur during the data acquisition process of airborne LiDAR bathymetry (ALB). The refractive index of water is defined as the propagation ratio of the speed of light waves in a vacuum to that in water; this ratio influences not only the propagation speed of the laser pulse in water but also the propagation direction of the laser pulse entering water. Therefore, the influence of refractive index changes in water on the ALB errors needs to be analyzed. To this e
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Tri Widodo, Dian, Gathot Winarso, and Dikdik S. Mulyadi. "Pengolahan Data Airborne Lidar Bathymetry untuk Perairan Dangkal (Studi Kasus : Perairan Kolaka Sulawesi Tenggara)." Jurnal HIDROPILAR 6, no. 1 (2021): 21–27. http://dx.doi.org/10.37875/hidropilar.v6i1.167.

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Batimetri adalah teknik mengukur kedalaman di bawah air dan studi tentang tiga dimensi lantai samudra atau danau. Sebuah peta batimetri umumnya menampilkan relief lantai atau dataran dengan garis-garis kontur (contour lines) yang disebut kontur kedalaman (depth contours atau isobath), dan dapat memiliki informasi tambahan berupa informasi navigasi permukaan.
 Dengan semakain majunya teknologi pada saat ini menuntut tersedianya informasi dan data yang cepat, tepat dan akurat, dengan tidak mengorbankan banyak elemen yang terkait baik personil maupun material itu semua merupakan factor penen
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Asner, Gregory P., Nicholas R. Vaughn, Christopher Balzotti, Philip G. Brodrick, and Joseph Heckler. "High-Resolution Reef Bathymetry and Coral Habitat Complexity from Airborne Imaging Spectroscopy." Remote Sensing 12, no. 2 (2020): 310. http://dx.doi.org/10.3390/rs12020310.

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Coral reef ecosystems are rapidly changing, and a persistent problem with monitoring changes in reef habitat complexity rests in the spatial resolution and repeatability of measurement techniques. We developed a new approach for high spatial resolution (<1 m) mapping of nearshore bathymetry and three-dimensional habitat complexity (rugosity) using airborne high-fidelity imaging spectroscopy. Using this new method, we mapped coral reef habitat throughout two bays to a maximum depth of 25 m and compared the results to the laser-based SHOALS bathymetry standard. We also compared the results de
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Finkl, Charles W., Lindino Benedet, and Jeffrey L. Andrews. "Interpretation of Seabed Geomorphology Based on Spatial Analysis of High-Density Airborne Laser Bathymetry." Journal of Coastal Research 213 (May 2005): 501–14. http://dx.doi.org/10.2112/05-756a.1.

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IWABE, Noriyasu, Hanae DOIGUCHI, Hideki KATO, et al. "SANDY-BEACH MONITORING USING AIRBORNE LASER BATHYMETRY （ALB) IN A LARGE-SCALE NOURISHED COAST." Journal of Japan Society of Civil Engineers, Ser. B3 (Ocean Engineering) 78, no. 2 (2022): I_745—I_750. http://dx.doi.org/10.2208/jscejoe.78.2_i_745.

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Hu Shanjiang, 胡善江, 贺. 岩. He Yan, 陶邦一 Tao Bangyi, 俞家勇 Yu Jiayong, and 陈卫标 Chen Weibiao. "Classification of sea and land waveforms based on deep learning for airborne laser bathymetry." Infrared and Laser Engineering 48, no. 11 (2019): 1113004. http://dx.doi.org/10.3788/irla201948.1113004.

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Ji, Xue, Zhen Dong, Lin Zhang, et al. "Waveform classification and index sharing based-effective intensity data extraction of airborne laser bathymetry." International Journal of Applied Earth Observation and Geoinformation 124 (November 2023): 103503. http://dx.doi.org/10.1016/j.jag.2023.103503.

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MANO, Koji. "3D Measurement of Rivers and Riverbeds Using Airborne Laser Bathymetry (ALB/UAV) and DX." Journal of the Japan Society for Precision Engineering 91, no. 4 (2025): 441–45. https://doi.org/10.2493/jjspe.91.441.

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Lebrec, Ulysse, Victorien Paumard, Michael J. O'Leary, and Simon C. Lang. "Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys, and historical datasets." Earth System Science Data 13, no. 11 (2021): 5191–212. http://dx.doi.org/10.5194/essd-13-5191-2021.

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Abstract. High-resolution bathymetry forms critical datasets for marine geoscientists. It can be used to characterize the seafloor and its marine habitats, to understand past sedimentary records, and even to support the development of offshore engineering projects. Most methods to acquire bathymetry data are costly and can only be practically deployed in relatively small areas. It is therefore critical to develop cost-effective and advanced techniques to produce regional-scale bathymetry datasets. This paper presents an integrated workflow that builds on satellites images and 3D seismic survey
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