Results 41 to 50 of about 34,913 (244)

Marine Habitat Mapping using Multibeam Echosounder Survey and Underwater Video Observations: A Case Study from Tioman Marine Park

IOP Conference Series: Earth and Environment, 2023
In recent years, there has been an increasing trend of utilizing high-resolution multibeam echosounder (MBES) datasets and supervised classification via machine learning to create marine habitat maps.
M. A. H. Muhamad, R. C. Hasan, Najhan Md. Said, Mohd Shahmy Mohd Said, Raiz Razali   +4 more
semanticscholar   +1 more source

Multibeam echosounder backscatter strength analysis for seafloor sediment identification in Damar Besar Island Waters, Thousand Islands

IOP Conference Series: Earth and Environment, 2023
The condition of the Indonesian territory surrounded by the ocean requires technology to obtain seabed information to support the development of social, economic, and security activities.
S. Arifah, H. Manik, D. Mulyadi
semanticscholar   +1 more source

Review : Bathymetry Mapping Using Underwater Acoustic Technology

JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2019
The bathymetry mapping using underwater acoustic technology very important in Indonesia waters. Bathymetry is the result of measuring the height of the seabed so that the bathymetric map provides information about the seabed, where this information can ...
Muhammad Zainuddin Lubis, Sri Pujiyati, Budhi Agung Prasetyo, Tiggi Choanji   +3 more
doaj   +1 more source

INTEGRASI DATA MULTIBEAM BATIMETRI DAN MOSAIK BACKSCATTER UNTUK KLASIFIKASI TIPE SEDIMEN

Jurnal Teknologi Perikanan dan Kelautan, 2017
Sistem multibeam echosounder tidak hanya memperoleh presisi tinggi dalam pengolahan data batimetri saja, tetapi juga mendapatkan resolusi tinggi dalam data backscatter strenght (BS) dasar perairan.
Anang Prasetia Adi, Henry M Manik, Sri Pujiyati   +2 more
doaj   +1 more source

The Autonomous Underwater Vehicle Integrated with the Unmanned Surface Vessel Mapping the Southern Ionian Sea. The Winning Technology Solution of the Shell Ocean Discovery XPRIZE

Remote Sensing, 2020
The methods of data collection, processing, and assessment of the quality of the results of a survey conducted at the Southern Ionian Sea off the Messinian Peninsula, Greece are presented.
Karolina Zwolak, Rochelle Wigley, Aileen Bohan, Yulia Zarayskaya, Evgenia Bazhenova, Wetherbee Dorshow, Masanao Sumiyoshi, Seeboruth Sattiabaruth, Jaya Roperez, Alison Proctor, Craig Wallace, Hadar Sade, Tomer Ketter, Benjamin Simpson, Neil Tinmouth, Robin Falconer, Ivan Ryzhov, Mohamed Elsaied Abou-Mahmoud   +17 more
doaj   +1 more source

Volume Backscattering Strength Estimation of Plankton from Water Column Multibeam Echosounder Data at Alor Strait, East Nusa Tenggara, Indonesia

IOP Conference Series: Earth and Environment, 2023
Plankton support marine lives in significant roles as the main food source and ecological functions. However, marine information regarding plankton abundance is scanty and not distributed equally along Indonesian waters.
I. H. Hariyanto, A. W. Putranto, Nurhidayat, B. Purwanto, D. P. Sobarudin, P. D. Saputro, D. R. Khair, M. A. Wibowo   +7 more
semanticscholar   +1 more source

Mapping of Cold-Water Coral Carbonate Mounds Based on Geomorphometric Features: An Object-Based Approach

Geosciences, 2018
Cold-water coral reefs are rich, yet fragile ecosystems found in colder oceanic waters. Knowledge of their spatial distribution on continental shelves, slopes, seamounts and ridge systems is vital for marine spatial planning and conservation.
Markus Diesing, Terje Thorsnes
doaj   +1 more source

A Characterisation of Benthic Currents from Seabed Bathymetry: An Object-Based Image Analysis of Cold-Water Coral Mounds

Remote Sensing, 2022
Seabed sedimentary bedforms (SSBs) are strong indicators of current flow (direction and velocity) and can be mapped in high resolution using multibeam echosounders.
Gerard Summers, Aaron Lim, Andrew J. Wheeler   +2 more
doaj   +1 more source

Combining Two Classification Methods for Predicting Jakarta Bay Seabed Type Using Multibeam Echosounder Data

Journal of Applied Geospatial Information, 2023
Classification of seabed types from multibeam echosounder data using machine learning techniques has been widely used in recent decades, such as Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Nearest Neighbor (NN).
S. Solikin, A. Dwinovantyo, H. Manik, Sri Pujiyati, S. Susilohadi   +4 more
semanticscholar   +1 more source

Evaluating the Performance of a Dual-Frequency Multibeam Echosounder for Small Target Detection

Journal of Marine Science and Engineering, 2023
With rising interest in marine renewable energy (MRE) associated with offshore wind, waves, and tidal flows, the effects of device placement on changes in animal behaviour require proper assessment to minimise environmental impacts and inform decision ...
Nicholas Petzinna, V. Nikora, Joseph Onoufriou, B. Williamson   +3 more
semanticscholar   +1 more source