Comparative evaluation of airborne LiDAR and ship-based multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems

Costa, Bryan; Battista, Timothy Adams; Pittman, Simon J.

doi:10.1016/j.rse.2009.01.015

Cited by 183 publications

(103 citation statements)

References 29 publications

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“…Airborne blue-green lidar mapping of shallow benthic environments has several advantages over boat-based acoustic surveys (Costa, Battista, and Pittman, 2009). For example, 1) navigational hazards associated with vessel operations nearshore are not an issue, 2) the lidar swath width is nearly independent of water depth, 3) hybrid blue-green lidars with high pulse rates can collect almost seamless subaerial-submarine topobathymetric surveys, and 4) airborne lidar can also collect reflected intensity images useful in benthic class discrimination (Costa, Battista, and Pittman, 2009).…”

Section: Submarine Coastal Benthic Applicationsmentioning

confidence: 99%

“…Uncertainties in interpreting single-beam acoustic backscatter observations have limited the use of that method for producing thematic coral reef habitat maps (Costa, Battista, and Pittman, 2009). Foster et al contribute to the resolution of this ambiguity by using a comprehensive high resolution lidar groundtruth data set to derive proxies for topographic complexity, reefvolume, and benthic habitat class that are then applied to evaluate the utility of acoustic energy parameters in reef benthic characterization.…”

Section: Submarine Coastal Benthic Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

Synergy of Airborne Digital Camera and Lidar Data to Map Coastal Dune Vegetation

Kempeneers¹,

Deronde

Provoost

et al. 2009

Journal of Coastal Research

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Section: Submarine Coastal Benthic Applicationsmentioning

confidence: 99%

Section: Submarine Coastal Benthic Applicationsmentioning

confidence: 99%

Synergy of Airborne Digital Camera and Lidar Data to Map Coastal Dune Vegetation

Kempeneers¹,

Deronde

Provoost

et al. 2009

Journal of Coastal Research

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“…Especially the pulse repetition rate and, thus, the point density have been signifi cantly increased with the state-of-the-art sensors. Good results under optimal conditions were reported (Costa et al, 2009;Steinbacher et al, 2012). However, there are many limiting factors like water turbidity, waves, and refl ectance conditions of the sea bed.…”

Section: Introductionmentioning

confidence: 88%

Neural networks for the generation of sea bed models using airborne lidar bathymetry data

Kogut

Niemeyer

Bujakiewicz

2016

Geodesy and Cartography

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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 the data sets. The IHO requirements of the total horizontal and vertical uncertainty for laser data are met. The second goal of this paper is to compare three spatial interpolation methods, namely Inverse Distance Weighting (IDW), Delaunay Triangulation (TIN), and supervised Artifi cial Neural Networks (ANN), for the generation of sea bed models. The focus of our investigation is on the amount of required sampling points. This is analyzed by manually reducing the data sets. We found that the three techniques have a similar performance almost independently of the amount of sampling data in our test area. However, ANN are more stable when using a very small subset of points.

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“…Thus, it is an alternative technique compared to conventional (multibeam) echo sounder data of ships, which is even more time consuming and costly, e.g. Guenther et al, 2000, Costa et al, 2009. The LiDAR system uses two lasers, a green laser which can penetrate the water column and an infrared laser, which is reflected at the water surface.…”

Section: Introductionmentioning

confidence: 99%

Investigations on the Possibilities of Monitoring Coastal Changes Including Shallow Under Water Areas With Uas Photo Bathmetry

Grenzdörffer

Naumann

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission I, ICWG I/VbKEY WORDS: UAS-Photogrammetry, 3D-Point Cloud, photo bathymetry ABSTRACT: UAS become a very valuable tool for coastal morphology. Not only for mapping but also for change detection and a better understanding of processes along and across the shore. This contribution investigates the possibilities of UAS to determine the water depth in clear shallow waters by means of the so called "photo bathymetry". From the results of several test flights it became clear that three factors influence the ability and the accuracy of bathymetric sea floor measurements. Firstly, weather conditions. Sunny weather is not always good. Due to the high image resolution the sunlight gets focussed even in very small waves causing moving patterns on shallow grounds with high reflection properties, such as sand. This effect invisible under overcast weather conditions. Waves, may also introduce problems and mismatches. Secondly the quality and the accuracy of the georeferencing with SFM algorithms. As multi image key point matching will not work over water, the proposed approach will only work for projects closely to the coastline with enough control on the land. Thirdly the software used and the intensity of post processing and filtering. Refraction correction and the final interpolation of the point cloud into a DTM are the last steps. If everything is done appropriately, accuracies in the bathymetry in the range of 10 -50 cm, depending on the water depth are possible.

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Comparative evaluation of airborne LiDAR and ship-based multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems

Cited by 183 publications

References 29 publications

Synergy of Airborne Digital Camera and Lidar Data to Map Coastal Dune Vegetation

Synergy of Airborne Digital Camera and Lidar Data to Map Coastal Dune Vegetation

Neural networks for the generation of sea bed models using airborne lidar bathymetry data

Investigations on the Possibilities of Monitoring Coastal Changes Including Shallow Under Water Areas With Uas Photo Bathmetry

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