Results 1 to 10 of about 1,785,299 (250)

Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms

Remote Sensing, 2019
This research was aimed at developing the mapping model of benthic habitat mapping using machine-learning classification algorithms and tested the applicability of the model in different areas.
Pramaditya Wicaksono, Prama Ardha Aryaguna, Wahyu Lazuardi   +2 more
exaly   +4 more sources

Benthic habitat mapping of Plazh Gradina – Zlatna ribka (Black Sea) and Karpathos and Saria Islands (Mediterranean Sea) [PDF]

Biodiversity Data Journal, 2021
Habitat mapping is nеcessary for the efficient conservation and protection of marine ecosystems. In addition, it is a requirement for EU Member States as stated in the European Union (EU) Habitats Directive (92/43/EEC), as well as necessary for the ...
Stamatina Nikolopoulou, Dimitar Berov, Stefania Klayn, Lyubomir Dimitrov, Kiril Velkovsky, Eva Chatzinikolaou, Giorgos Chatzigeorgiou, Ventzislav Karamfilov, Christina Pavloudi   +8 more
doaj   +4 more sources

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

Science of Remote Sensing, 2021
Legacy seabed mapping datasets are increasingly common as the need for detailed seabed information is recognized. Acoustic backscatter data from multibeam echosounders can be a useful surrogate for seabed properties and are commonly used for benthic ...
Benjamin Misiuk, Myriam Lacharite, Craig Brown   +2 more
exaly   +3 more sources

Integrating multibeam backscatter angular response, mosaic and bathymetry data for benthic habitat mapping. [PDF]

PLoS ONE, 2014
Multibeam echosounders (MBES) are increasingly becoming the tool of choice for marine habitat mapping applications. In turn, the rapid expansion of habitat mapping studies has resulted in a need for automated classification techniques to efficiently map ...
Rozaimi Che Hasan, Daniel Ierodiaconou, Laurie Laurenson, Alexandre Schimel   +3 more
doaj   +2 more sources

Mapping benthic habitats in Bohai Bay, China [PDF]

Scientific Reports
Marine benthic habitat mapping is increasingly recognized as an essential tool in integrating available data to inform marine ecosystem-based management.
Lu Yang, Wenhai Lu, Long He, Haiyan Huang, Zhaoyang Liu, Yujia Zhang, Yong Ma, Jia Yu, Guocheng Zuo, Yangyi Ai, Chang Liu, Yan Xu   +11 more
doaj   +2 more sources

Shallow-Water Benthic Habitat Mapping Using Drone with Object Based Image Analyses

Remote Sensing, 2021
Spatial information on benthic habitats in Wangiwangi island waters, Wakatobi District, Indonesia was very limited in recent years. However, this area is one of the marine tourism destinations and one of the Indonesia’s triangle coral reef regions with a
Nurul Idris, La Ode Khairum Mastu, Bisman Nababan   +2 more
exaly   +3 more sources

Multiscale and Hierarchical Classification for Benthic Habitat Mapping

Geosciences, 2018
Developing quantitative and objective approaches to integrate multibeam echosounder (MBES) data with ground observations for predictive modelling is essential for ensuring repeatability and providing confidence measures for benthic habitat mapping.
Mary A Young, Peter Porskamp, Daniel Ierodiaconou   +2 more
exaly   +3 more sources

3D MAPPING OF BENTHIC HABITAT USING XGBOOST AND STRUCTURE FROM MOTION PHOTOGRAMMETRY [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Benthic habitats mapping is essential to the management and conservation of marine ecosystems. The traditional methods of mapping benthic habitats, which involve multibeam data acquisition and manually collecting and annotating imagery data, are time ...
S. Morsy, S. Morsy, A. B. Yánez Suárez, A. B. Yánez Suárez, K. Robert   +4 more
doaj   +1 more source

Klasifikasi Habitat Bentik Berdasarkan Citra Sentinel-2 di Kepulauan Kei, Maluku Tenggara

Jurnal Ilmu Pertanian Indonesia, 2022
Imagery classification has long been used in analyzing remote sensing data. The use of the classification algorithm model can affect the results in interpreting benthic habitats in shallow water.
La Ode Alifatri, Bayu Prayudha, Kasih Anggraini   +2 more
doaj   +1 more source

Semiautomated Mapping of Benthic Habitats and Seagrass Species Using a Convolutional Neural Network Framework in Shallow Water Environments

Remote Sensing, 2020
Benthic habitats are structurally complex and ecologically diverse ecosystems that are severely vulnerable to human stressors. Consequently, marine habitats must be mapped and monitored to provide the information necessary to understand ecological ...
Hassan Mohamed, Kazuo Nadaoka, Takashi Nakamura   +2 more
doaj   +1 more source