scholarly journals Spectral features of dual-frequency multibeam echosounder data for benthic habitat mapping

2020 ◽  
Vol 427 ◽  
pp. 106239 ◽  
Author(s):  
Karolina Trzcinska ◽  
Lukasz Janowski ◽  
Jaroslaw Nowak ◽  
Maria Rucinska-Zjadacz ◽  
Aleksandra Kruss ◽  
...  
Keyword(s):  
Habitat Mapping ◽  
Benthic Habitat ◽  
Spectral Features ◽  
Dual Frequency ◽  
Multibeam Echosounder

scholarly journals An evaluation of supervised and unsupervised classification techniques for marine benthic habitat mapping using multibeam echosounder data

2014 ◽  
Vol 72 (5) ◽  
pp. 1498-1513 ◽  
Author(s):  
Jay Calvert ◽  
James Asa Strong ◽  
Matthew Service ◽  
Chris McGonigle ◽  
Rory Quinn
Keyword(s):  
Selection Process ◽  
Ground Truth ◽  
Unsupervised Classification ◽  
Horizontal Resolution ◽  
Habitat Mapping ◽  
Benthic Habitat ◽  
Marine Habitat ◽  
Ground Truth Data ◽  
Multibeam Echosounder ◽  
Acoustic Data

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.

scholarly journals 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

2018 ◽  
Vol 10 (12) ◽  
pp. 1983 ◽  
Author(s):  
Lukasz Janowski ◽  
Karolina Trzcinska ◽  
Jaroslaw Tegowski ◽  
Aleksandra Kruss ◽  
Maria Rucinska-Zjadacz ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Ground Truth ◽  
Habitat Mapping ◽  
Acoustic Properties ◽  
Benthic Habitat ◽  
Marine Habitat ◽  
Multibeam Echosounder ◽  
Southern Baltic Sea ◽  
Object Based ◽  
Southern Baltic

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.

scholarly journals Assessing the use of harmonized multisource backscatter data for thematic benthic habitat mapping

2021 ◽  
Vol 3 ◽  
pp. 100015
Author(s):  
Benjamin Misiuk ◽  
Myriam Lacharité ◽  
Craig J. Brown
Keyword(s):  
Habitat Mapping ◽  
Benthic Habitat

Benthic Habitat Mapping in the Tortugas Region, Florida

2003 ◽  
Vol 26 (1-2) ◽  
pp. 19-34 ◽  
Author(s):  
Erik C. Franklin ◽  
Jerald S. Ault ◽  
Steven G. Smith ◽  
Jiangang Luo ◽  
Geoffrey A. Meester ◽  
...  
Keyword(s):  
Habitat Mapping ◽  
Benthic Habitat

scholarly journals An Underwater Photogrammetric Application to Generate Micro-Bathymetry Data for Benthic Habitat Mapping and Analysis at Arctic Ocean

2021 ◽  
Vol 54 (16) ◽  
pp. 402-409
Author(s):  
Amin Mardani Nejad ◽  
Thomas Luhmann ◽  
Thomas P. Kersten ◽  
Boris Dorschel ◽  
Autun Purser
Keyword(s):  
Arctic Ocean ◽  
Habitat Mapping ◽  
Benthic Habitat

scholarly journals Representative benthic habitat mapping on Lovina coral reefs in Northern Bali, Indonesia

2021 ◽  
Vol 22 (11) ◽  
Author(s):  
Anggita Kartikasari ◽  
TODHI PRISTIANTO ◽  
RIZKI HANINTYO ◽  
EGHBERT ELVAN AMPOU ◽  
TEJA ARIEF WIBAWA ◽  
...  
Keyword(s):  
Coral Reef ◽  
Coral Reefs ◽  
Habitat Mapping ◽  
Benthic Habitat ◽  
Coral Rubble ◽  
Spatial Coverage ◽  
Coral Reef Ecosystems ◽  
Optical Imagery ◽  
Sentinel 2

Abstract. Kartikasari A, Pristianto T, Hanintyo R, Ampou EE, Wibawa TA, Borneo BB. 2021. Representative benthic habitat mapping on Lovina coral reefs in Northern Bali, Indonesia. Biodiversitas 22: 4766-4774. Satellite optical imagery datasets integrated with in situ measurements are widely used to derive the spatial distribution of various benthic habitats in coral reef ecosystems. In this study, an approach to estimate spatial coverage of those habitats based on observation derived from Sentinel-2 optical imagery and a field survey, is presented. This study focused on the Lovina coral reef ecosystem of Northern Bali, Indonesia to support deployment of artificial reefs within the Indonesian Coral Reef Garden (ICRG) programme. Three specific locations were explored: Temukus, Tukad Mungga, and Baktiseraga waters. Spatial benthic habitat coverages of these three waters was estimated based on supervised classification techniques using 10m bands of Sentinel-2 imagery and the medium scale approach (MSA) transect method of in situ measurement.The study indicates that total coverage of benthic habitat is 61.34 ha, 25.17 ha, and 27.88 ha for Temukus, Tukad Mungga, and Baktiseraga waters, respectively. The dominant benthic habitat of those three waters consists of sand, seagrass, coral, rubble, reef slope and intertidal zone. The coral reef coverage is 29.48 ha (48%) for Temukus covered by genus Acropora, Isopora, Porites, Montipora, Pocillopora. The coverage for Tukad Mungga is 8.69 ha (35%) covered by genus Acropora, Montipora, Favia, Psammocora, Porites, and the coverage for Baktiseraga is 11.37 ha (41%) covered by genus Montipora sp, Goniastrea, Pavona, Platygyra, Pocillopora, Porites, Acropora, Leptoseris, Acropora, Pocillopora, Fungia. The results are expected to be suitable as supporting data in restoring coral reef ecosystems in the northern part of Bali, especially in Buleleng District.

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