Relevant bibliographies by topics / Geomorphometry, Habitat Mapping, Multibeam Bathymetry

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Geomorphometry, Habitat Mapping, Multibeam Bathymetry'

Author: Grafiati
Published: 9 March 2023
Last updated: 11 March 2023

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Journal articles on the topic "Geomorphometry, Habitat Mapping, Multibeam Bathymetry"

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Iampietro, Pat J., Rikk G. Kvitek, and Erica Morris. "Recent Advances in Automated Genus-specific Marine Habitat Mapping Enabled by High-resolution Multibeam Bathymetry." Marine Technology Society Journal 39, no. 3 (September 1, 2005): 83–93. http://dx.doi.org/10.4031/002533205787442495.

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There is a great need for accurate, comprehensive maps of seafloor habitat for use in fish stock assessments, marine protected area design, and other resource management pursuits. Recent advances in acoustic remote sensing technology have made it possible to obtain high-resolution (meter to sub-meter) digital elevation models (DEMs) of seafloor bathymetry that can rival or surpass those available for the terrestrial environment. The acquisition and processing of these data are expensive, however, requiring specialized equipment, expertise, and large amounts of both field and laboratory effort per unit area mapped. Further, the interpretation and classification of these data into maps of habitat type is typically (and appropriately) performed only by trained experts that are familiar with both seafloor geomorphology and the nature and limitations of the data sources. Because it is done visually, this interpretation can be very time-consuming and may yield subjective results that are not comparable from site-to-site or between individual interpreters.We applied an algorithmic terrain analysis approach to efficiently and objectively classify seafloor habitats using the quantifiable landscape metric Topographic Position Index (TPI). We used high-resolution multibeam bathymetry, together with precisely geolocated (± 5 m) ROV observations of fish distribution, to produce a preliminary genus-specific habitat suitability model for eight rockfish (Sebastes) species in the Del Monte shale beds of Monterey Bay, California. A high-resolution (2 m) multibeam bathymetry Digital Elevation Model (DEM) was generated and used to produce a derived TPI surface model using repeatable, algorithmic methods. This data layer, together with the positions and counts by species from 229 rockfish observations (2892 total fish) was then used to create preliminary predictive models of habitat suitability and fish distribution, as well as stock estimates for the study area. A second, independent fish observation data set was used to validate the models.
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Calvert, Jay, James Asa Strong, Matthew Service, Chris McGonigle, and Rory Quinn. "An evaluation of supervised and unsupervised classification techniques for marine benthic habitat mapping using multibeam echosounder data." ICES Journal of Marine Science 72, no. 5 (December 12, 2014): 1498–513. http://dx.doi.org/10.1093/icesjms/fsu223.

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Abstract Marine habitat mapping provides information on seabed substrata and faunal community structure to users including research scientists, conservation organizations, and policy makers. Full-coverage acoustic data are frequently used for habitat mapping in combination with video ground-truth data in either a supervised or unsupervised classification. In this investigation, video ground-truth data with a camera footprint of 1 m2 were classified to level 4 of the European Nature Information System habitat classification scheme. Acoustic data with a horizontal resolution of 1 m2 were collected over an area of 130 km2 using a multibeam echosounder, and processed to provide bathymetry and backscatter data. Bathymetric derivatives including eastness, northness, slope, topographic roughness index, vector rugosity measure, and two measures of curvature were created. A feature selection process based on Kruskal–Wallis and post hoc pairwise testing was used to select environmental variables able to discriminate ground-truth classes. Subsequently, three datasets were formed: backscatter alone (BS), backscatter combined with bathymetry and derivatives (BSDER), and bathymetry and derivatives alone (DER). Two classifications were performed on each of the datasets to produce habitat maps: maximum likelihood supervised classification (MLC) and ISO Cluster unsupervised classification. Accuracy of the supervised habitat maps was assessed using total agreement, quantity disagreement, and allocation disagreement. Agreement in the unsupervised maps was assessed using the Cramer's V coefficient. Choice of input data produced large differences in the accuracy of the supervised maps, but did not have the same effect on the unsupervised maps. Accuracies were 46, 56, and 49% when calculated using the sample and 52, 65, and 51% when using an unbiased estimate of the population for the BS, BSDER, and DER maps, respectively. Cramer's V was 0.371, 0.417, and 0.366 for the BS, BSDER, and DER maps, respectively.
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Che Hasan, Rozaimi, Daniel Ierodiaconou, Laurie Laurenson, and Alexandre Schimel. "Integrating Multibeam Backscatter Angular Response, Mosaic and Bathymetry Data for Benthic Habitat Mapping." PLoS ONE 9, no. 5 (May 13, 2014): e97339. http://dx.doi.org/10.1371/journal.pone.0097339.

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Novaczek, Emilie, Rodolphe Devillers, Evan Edinger, and Luiz Mello. "High-resolution seafloor mapping to describe coastal denning habitat of a Canadian species at risk: Atlantic wolffish (Anarhichas lupus)." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 12 (December 2017): 2073–84. http://dx.doi.org/10.1139/cjfas-2016-0414.

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The Atlantic wolffish (Anarhichas lupus) is listed by Canada’s Species at Risk Act as a species of special concern. Effective conservation strategies rely on accurate knowledge of habitat requirements, distribution, and vulnerabilities; however, current management plans cite lack of wolffish habitat data as a key limitation. For this study, coastal Atlantic wolffish denning habitat was characterized and mapped with high-resolution multibeam data and seafloor video in Conception Bay, Newfoundland. Four Atlantic wolffish dens, used for feeding, spawning, and egg-guarding, were surveyed and mapped. On the basis of the geomorphology and substrate of these dens, a supervised classification was applied to the multibeam bathymetry and backscatter data to identify other potential denning areas. Predicted denning habitat, limited by the occurrence of suitable rocky substrate, is most prevalent in shallow waters (<22 m) distributed over 1.6 km2 (5.9%) of the study area. Shallow denning habitat is exposed to seasonal maximum temperatures that exceed the threshold for normal Atlantic wolffish egg development, a potential vulnerability for nearshore wolffish. As management efforts progress, this information will guide research and prioritization of conservation areas.
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Wilson, Margaret F. J., Brian O’Connell, Colin Brown, Janine C. Guinan, and Anthony J. Grehan. "Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope." Marine Geodesy 30, no. 1-2 (May 9, 2007): 3–35. http://dx.doi.org/10.1080/01490410701295962.

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Janowski, Lukasz, Karolina Trzcinska, Jaroslaw Tegowski, Aleksandra Kruss, Maria Rucinska-Zjadacz, and Pawel Pocwiardowski. "Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea." Remote Sensing 10, no. 12 (December 7, 2018): 1983. http://dx.doi.org/10.3390/rs10121983.

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Recently, the rapid development of the seabed mapping industry has allowed researchers to collect hydroacoustic data in shallow, nearshore environments. Progress in marine habitat mapping has also helped to distinguish the seafloor areas of varied acoustic properties. As a result of these new developments, we have collected a multi-frequency, multibeam echosounder dataset from the valuable nearshore environment of the southern Baltic Sea using two frequencies: 150 kHz and 400 kHz. Despite its small size, the Rowy area is characterized by diverse habitat conditions and the presence of red algae, unique on the Polish coast of the Baltic Sea. This study focused on the utilization of multibeam bathymetry and multi-frequency backscatter data to create reliable maps of the seafloor. Our approach consisted of the extraction of 70 secondary features of bathymetric and backscatter data, including statistic and textural attributes of different scales. Based on ground-truth samples, we have identified six habitat classes and selected the most relevant features of the bathymetric and backscatter data. Additionally, five types of image processing pixel-based and object-based classifiers were tested. We also evaluated the performance of algorithms using an accuracy assessment based on the validation subset of the ground-truth samples. Our best results reached 93% overall accuracy and a kappa coefficient of 0.90, confirming that nearshore seabed habitats can be accurately distinguished based on multi-frequency, multibeam echosounder measurements. Our predictive habitat mapping of shallow euphotic zones creates a new scientific perspective and provides relevant data for the management of natural resources. Object-based approaches previously used in various environments and areas suggest that methodology presented in this study may be scalable.
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Kostylev, VE, BJ Todd, GBJ Fader, RC Courtney, GDM Cameron, and RA Pickrill. "Benthic habitat mapping on the Scotian Shelf based on multibeam bathymetry, surficial geology and sea floor photographs." Marine Ecology Progress Series 219 (2001): 121–37. http://dx.doi.org/10.3354/meps219121.

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Rende, Sante Francesco, Alessandro Bosman, Rossella Di Mento, Fabio Bruno, Antonio Lagudi, Andrew D. Irving, Luigi Dattola, et al. "Ultra-High-Resolution Mapping of Posidonia oceanica (L.) Delile Meadows through Acoustic, Optical Data and Object-based Image Classification." Journal of Marine Science and Engineering 8, no. 9 (August 22, 2020): 647. http://dx.doi.org/10.3390/jmse8090647.

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In this study, we present a framework for seagrass habitat mapping in shallow (5–50 m) and very shallow water (0–5 m) by combining acoustic, optical data and Object-based Image classification. The combination of satellite multispectral images-acquired from 2017 to 2019, together with Unmanned Aerial Vehicle (UAV) photomosaic maps, high-resolution multibeam bathymetry/backscatter and underwater photogrammetry data, provided insights on the short-term characterization and distribution of Posidonia oceanica (L.) Delile, 1813 meadows in the Calabrian Tyrrhenian Sea. We used a supervised Object-based Image Analysis (OBIA) processing and classification technique to create a high-resolution thematic distribution map of P. oceanica meadows from multibeam bathymetry, backscatter data, drone photogrammetry and multispectral images that can be used as a model for classification of marine and coastal areas. As a part of this work, within the SIC CARLIT project, a field application was carried out in a Site of Community Importance (SCI) on Cirella Island in Calabria (Italy); different multiscale mapping techniques have been performed and integrated: the optical and acoustic data were processed and classified by different OBIA algorithms, i.e., k-Nearest Neighbors’ algorithm (k-NN), Random Tree algorithm (RT) and Decision Tree algorithm (DT). These acoustic and optical data combinations were shown to be a reliable tool to obtain high-resolution thematic maps for the preliminary characterization of seagrass habitats. These thematic maps can be used for time-lapse comparisons aimed to quantify changes in seabed coverage, such as those caused by anthropogenic impacts (e.g., trawl fishing activities and boat anchoring) to assess the blue carbon sinks and might be useful for future seagrass habitats conservation strategies.
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Pike, Samuel, Dimosthenis Traganos, Dimitris Poursanidis, Jamie Williams, Katie Medcalf, Peter Reinartz, and Nektarios Chrysoulakis. "Leveraging Commercial High-Resolution Multispectral Satellite and Multibeam Sonar Data to Estimate Bathymetry: The Case Study of the Caribbean Sea." Remote Sensing 11, no. 15 (August 6, 2019): 1830. http://dx.doi.org/10.3390/rs11151830.

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The global coastal seascape offers a multitude of ecosystem functions and services to the natural and human-induced ecosystems. However, the current anthropogenic global warming above pre-industrial levels is inducing the degradation of seascape health with adverse impacts on biodiversity, economy, and societies. Bathymetric knowledge empowers our scientific, financial, and ecological understanding of the associated benefits, processes, and pressures to the coastal seascape. Here we leverage two commercial high-resolution multispectral satellite images of the Pleiades and two multibeam survey datasets to measure bathymetry in two zones (0–10 m and 10–30 m) in the tropical Anguilla and British Virgin Islands, northeast Caribbean. A methodological framework featuring a combination of an empirical linear transformation, cloud masking, sun-glint correction, and pseudo-invariant features allows spatially independent calibration and test of our satellite-derived bathymetry approach. The best R2 and RMSE for training and validation vary between 0.44–0.56 and 1.39–1.76 m, respectively, while minimum vertical errors are less than 1 m in the depth ranges of 7.8–10 and 11.6–18.4 m for the two explored zones. Given available field data, the present methodology could provide simple, time-efficient, and accurate spatio-temporal satellite-derived bathymetry intelligence in scientific and commercial tasks i.e., navigation, coastal habitat mapping and resource management, and reducing natural hazards.
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Summers, Gerard, Aaron Lim, and Andrew J. Wheeler. "A Characterisation of Benthic Currents from Seabed Bathymetry: An Object-Based Image Analysis of Cold-Water Coral Mounds." Remote Sensing 14, no. 19 (September 21, 2022): 4731. http://dx.doi.org/10.3390/rs14194731.

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Seabed sedimentary bedforms (SSBs) are strong indicators of current flow (direction and velocity) and can be mapped in high resolution using multibeam echosounders. Many approaches have been designed to automate the classification of such SSBs imaged in multibeam echosounder data. However, these classification systems only apply a geomorphological contextualisation to the data without making direct assertions on the velocities of benthic currents that form these SSBs. Here, we apply an object-based image analysis (OBIA) workflow to derive a geomorphological classification of SSBs in the Moira Mounds area of the Belgica Mound Province, NE Atlantic through k-means clustering. Cold-water coral reefs as sessile filter-feeders benefit from strong currents are often found in close association with sediment wave fields. This OBIA provided the framework to derive SSB wavelength and wave height, these SSB attributes were used as predictor variables for a multiple linear regression to estimate current velocities. Results show a bimodal distribution of current flow directions and current speed. Furthermore, a 5 k-means classification of the SSB geomorphology exhibited an imprinting of current flow consistency which altered throughout the study site due to the interaction of regional, local, and micro scale topographic steering forces. This study is proof-of-concept for an assessment tool applied to vulnerable marine ecosystems but has wider applications for applied seabed appraisals and can inform management and monitoring practice across a variety of spatial and temporal scales. Deriving spatial patterns of hydrodynamic processes from widely available multibeam echosounder maps is pertinent to many avenues of research including scour predictions for offshore structures such as wind turbines, sediment transport modelling, benthic fisheries, e.g., scallops, cable route and pipeline risk assessment and habitat mapping.
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Dissertations / Theses on the topic "Geomorphometry, Habitat Mapping, Multibeam Bathymetry"

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MARCHESE, FABIO. "A geomorphometric approach to assess multi-scale spatial distribution and geomorphological characterization of benthic habitats." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/103697.

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Quantitative analysis on Digital Elevation Models (DEMs) are rarely conducted on submarine landscapes. Only recently the application of quantitative geomorphometric techniques to the bathymetry data set has been effectively tested and the authors demonstrated their utility in improving the geological interpretation of submarine environments. In this thesis geomorphometric analytical techniques were applied to a high-resolution bathymetry data set acquired along three different survey areas located on the Apulian continental margin, between 5 and 1400m of water depth. We focused our analysis on a supervised computation of the most significant morphometric parameters that typify the surveyed areas to automatically select those seafloor geomorphologies that appear to be linked with occurrences of specific benthic habitats. The work has been done in order to figure out relationships between the observed morphologies and the associated habitat distribution. The objective identification of morphologic features represents indeed a significant step in defining spatial units that are related to geomorphological processes. Our study aims at highlighting the importance of combining acoustic survey techniques and geomorphometric analysis to successfully support a preliminary quantitative assessment of habitats distribution and extent. Our method was specifically designed for the study areas and allowed the identification of a geomorphological proxy (based on geomorphometric parameters) associated with the benthic habitats distribution. The approach should offer an efficient and cost-effective technique for supporting the growing global need for better spatial management within the Mediterranean marine environment.
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Book chapters on the topic "Geomorphometry, Habitat Mapping, Multibeam Bathymetry"

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"Marine Artificial Reef Research and Development: Integrating Fisheries Management Objectives." In Marine Artificial Reef Research and Development: Integrating Fisheries Management Objectives, edited by Razak Zakariya and Lenny Sharinee Sakai. American Fisheries Society, 2018. http://dx.doi.org/10.47886/9781934874516.ch17.

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<em>Abstract</em>.—In recent years, as reported by the Malaysian Department of Fisheries, the decline in demersal fish resources is due to excessive exploitation. This indicates that management and protection of these resources and their habitat are required. <em>Teranas </em>is identified as important critical marine habitat and locally in Malay is defined as a hard rock substrate on the seabed. Teranas can appear in all shapes and sizes, depths, and locations. The combination of these various bottom features often make a teranas attractive to fish. The objective of this study is to detect a teranas so that it can be located and managed through mapping. Sonar in the form of a multibeam echosounder was used to map a teranas with a combination of bathymetry and water column features to identify the signature for teranas. The result produced a signature library to readily identify a teranas with the multibeam echosounder. An important factor in determining the signature for the teranas was the seabed structure and its associated marine life. Bathymetry identified the seabed structure, and the water column characteristics helped verify the presence of marine life. Fishing and visual surveys with scuba diving were also conducted to verify the effectiveness of the multibeam echosounder to identify the teranas. These study results can be used as an aid for planning and managing a teranas to help sustain the associated fisheries resources. Moreover, since a teranas is similar in structure and position to an artificial reef, the multibeam echosounder, when coupled with visual diver-based surveys and fishing effort, could be used to identify the extent and marine fauna associated with an artificial reef. This research will help in providing strategic location selection for artificial reef placement.
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"Benthic Habitats and the Effects of Fishing." In Benthic Habitats and the Effects of Fishing, edited by R. A. PICKRILL and B. J. TODD. American Fisheries Society, 2005. http://dx.doi.org/10.47886/9781888569605.ch30.

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Multibeam sea floor mapping technologies have provided the capability to accurately, and cost effectively, image large areas of the seabed. Imagery provides base maps of sea floor topography from which targeted surveys can be planned to map sea floor sediments and associated benthic communities. Over the last five years extensive multi-disciplinary surveys have been carried out on Browns, German and Georges Banks. The government of Canada entered into a partnership with the scallop industry to map bathymetry, surficial sediments and benthic communities. The new knowledge has been used by industry, and has implications for fisheries management. Associations between substrate type and benthic community composition have enabled precise maps of scallop habitat to be produced and links between scallop abundance and substrate to be established. The environmental and economic benefits have been immediate, with reduced effort to catch set quota, less bottom disturbance, and containment of fishing activity to known scallop grounds. Stock assessments and management practices are improved. Other pilot projects in Atlantic Canada and the northeastern USA have demonstrated the value of integrated sea floor mapping in designating marine protected areas (The Gully, Stellwagen Bank), in identifying offshore hazards such as landslides, in siting offshore structures, cables and pipelines, and in addressing environmental issues such as the routing of outfalls and disposal of dredge materials. In recognition of the power of these new tools and digital map products, Canada is considering development of a national mapping strategy to provide the foundation for sustainable ocean management in the 21st century.
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Conference papers on the topic "Geomorphometry, Habitat Mapping, Multibeam Bathymetry"

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Innangi, Sara, Renato Tonielli, Claudia Romagnoli, Di Martino Gabriella, and Michele Innangi. "Seafloor habitat mapping on the "Pelagie Islands" MPA (Sicily Channel) using Remote Sensing Object Image Analysis supported by multibeam bathymetry and ground-truth data." In 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). IEEE, 2018. http://dx.doi.org/10.1109/metrosea.2018.8657887.

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