scholarly journals Offshore benthic habitat mapping based on object-based image analysis and geomorphometric approach. A case study from the Slupsk Bank, Southern Baltic Sea

2021 ◽  
Vol 801 ◽  
pp. 149712 ◽  
Author(s):  
Lukasz Janowski ◽  
Radoslaw Wroblewski ◽  
Janusz Dworniczak ◽  
Mateusz Kolakowski ◽  
Karolina Rogowska ◽  
...  
Keyword(s):  
Image Analysis ◽  
Baltic Sea ◽  
Habitat Mapping ◽  
Benthic Habitat ◽  
Southern Baltic Sea ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Southern Baltic

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 Object-based Image Analysis for Coral Reef Benthic Habitat Mapping with Several Classification Algorithms

2015 ◽  
Vol 24 ◽  
pp. 222-227 ◽  
Author(s):  
Nurhalis Wahidin ◽  
Vincentius P. Siregar ◽  
Bisman Nababan ◽  
Indra Jaya ◽  
Sam Wouthuyzen
Keyword(s):  
Image Analysis ◽  
Coral Reef ◽  
Habitat Mapping ◽  
Benthic Habitat ◽  
Classification Algorithms ◽  
Object Based Image Analysis ◽  
Object Based

scholarly journals Application of Object Based Image Analysis for Glacial Cirques Detection. Case Study: The Ţarcu Mountains (Southern Carpathians)

2011 ◽  
Vol X (1) ◽  
pp. 20-26 ◽  
Author(s):  
Florina Ardelean ◽  
Marcel Török-Oance ◽  
Petru Urdea ◽  
Alexandru Onaca
Keyword(s):  
Image Analysis ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Southern Carpathians

Seafloor mapping based on multibeam echosounder bathymetry and backscatter data using Object-Based Image Analysis: a case study from the Rewal site, the Southern Baltic

2018 ◽  
Vol 47 (3) ◽  
pp. 248-259 ◽  
Author(s):  
Łukasz Janowski ◽  
Jarosław Tęgowski ◽  
Jarosław Nowak
Keyword(s):  
Image Analysis ◽  
Large Scale ◽  
Fine Sand ◽  
Empirical Method ◽  
Angular Variable ◽  
Seafloor Mapping ◽  
Multibeam Echosounder ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Southern Baltic

Abstract Seafloor mapping is a fast developing multidisciplinary branch of oceanology that combines geophysics, geostatistics, sedimentology and ecology. One of its objectives is to isolate distinct seabed features in a repeatable, fast and objective way, taking into consideration multibeam echosounder (MBES) bathymetry and backscatter data. A large-scale acoustic survey was conducted by the Maritime Institute in Gdańsk in 2010 using Reson 8125 MBES. The dataset covered over 20 km2 of a shallow seabed area (depth of up to 22 m) in the Polish Exclusive Economic Zone within the Southern Baltic. Determination of sediments was possible based on ground-truth grab samples acquired during the MBES survey. Four classes of sediments were recognized as muddy sand, very fine sand, fine sand and clay. The backscatter mosaic created using the Angular Variable Gain (AVG) empirical method was the primary contribution to the image processing method used in this study. The use of the Object-Based Image Analysis (OBIA) and the Classification and Regression Trees (CART) classifier makes it possible to isolate the backscatter image with 87.5% overall and 81.0% Kappa accuracy. The obtained results confirm the possibility of creating reliable maps of the seafloor based on MBES measurements. Once developed, the OBIA workflow can be applied to other spatial and temporal scenes.

Land–sea interaction and morphogenesis of coastal foredunes — A modeling case study from the southern Baltic Sea coast

2015 ◽  
Vol 99 ◽  
pp. 148-166 ◽  
Author(s):  
Wenyan Zhang ◽  
Ralf Schneider ◽  
Jakob Kolb ◽  
Tim Teichmann ◽  
Joanna Dudzinska-Nowak ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Southern Baltic Sea ◽  
Southern Baltic ◽  
Coastal Foredunes ◽  
Sea Coast

A coupled modeling scheme for longshore sediment transport of wave-dominated coasts—A case study from the southern Baltic Sea

2013 ◽  
Vol 72 ◽  
pp. 39-55 ◽  
Author(s):  
Wenyan Zhang ◽  
Junjie Deng ◽  
Jan Harff ◽  
Ralf Schneider ◽  
Joanna Dudzinska-Nowak
Keyword(s):  
Sediment Transport ◽  
Baltic Sea ◽  
Coupled Modeling ◽  
Southern Baltic Sea ◽  
Longshore Sediment Transport ◽  
Southern Baltic

Do ostracod associations reflect macrophyte communities? A case study from the brackish water of the southern Baltic Sea coast

2005 ◽  
Vol 67 (2) ◽  
pp. 142-155 ◽  
Author(s):  
Peter Frenzel ◽  
Daniela Henkel ◽  
Michael Siccha ◽  
Lina Tschendel
Keyword(s):  
Baltic Sea ◽  
Brackish Water ◽  
Southern Baltic Sea ◽  
Macrophyte Communities ◽  
Southern Baltic ◽  
Sea Coast
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