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Journal articles on the topic 'Marine habitats mapping'

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1

Doukari, M., and K. Topouzelis. "UAS DATA ACQUISITION PROTOCOL FOR MARINE HABITAT MAPPING: AN ACCURACY ASSESSMENT STUDY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1321–26. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1321-2020.

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Abstract. Marine habitat mapping is essential for updating existing information, preserving, and protecting the marine environment. Unmanned Aerial Systems (UAS) are an important tool for monitoring and mapping coastal and marine environment because of their ability to provide very high-resolution aerial imagery.Environmental conditions have a critical role in marine mapping using UAS. This is due to the limitations of UAS surveys in coastal areas, i.e. the environmental conditions prevailing in the area. The limitations of weather and oceanographic conditions affecting the quality of marine d
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Amani, Meisam, Candace Macdonald, Abbas Salehi, Sahel Mahdavi, and Mardi Gullage. "Marine Habitat Mapping Using Bathymetric LiDAR Data: A Case Study from Bonne Bay, Newfoundland." Water 14, no. 23 (2022): 3809. http://dx.doi.org/10.3390/w14233809.

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Marine habitats provide various benefits to the environment and humans. In this regard, an accurate marine habitat map is an important component of effective marine management. Newfoundland’s coastal area is covered by different marine habitats, which should be correctly mapped using advanced technologies, such as remote sensing methods. In this study, bathymetric Light Detection and Ranging (LiDAR) data were applied to accurately discriminate different habitat types in Bonne Bay, Newfoundland. To this end, the LiDAR intensity image was employed along with an object-based Random Forest (RF) al
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Aguhob, Jeruel, Waleed Hamza, Andreas Reul, Muna Musabih, Shahid Mustafa, and Maria Muñoz. "Baseline Habitat Setting for Future Evaluation of Environmental Status Quality of Jabal Ali Marine Sanctuary, Dubai, UAE." Sustainability 16, no. 6 (2024): 2374. http://dx.doi.org/10.3390/su16062374.

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Habitat mapping plays a crucial role in assessing marine protected areas (MPA) and implementing marine spatial management approaches. This study aims to present the spatial habitat distribution of the Jabal Ali Marine Sanctuary, considering the development projects implemented in its proximity. It serves as a reference for guiding conservation management efforts. The study focuses on in situ hyperspectral measurements of the optical properties of both the water column and the substrate. Additionally, a high density of geo-referenced spot checks were conducted, serving as sample points for ecol
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Lee, Sonny T. M., Michelle Kelly, Tim J. Langlois, and Mark J. Costello. "Baseline seabed habitat and biotope mapping for a proposed marine reserve." PeerJ 3 (December 10, 2015): e1446. http://dx.doi.org/10.7717/peerj.1446.

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Seabed mapping can quantify the extent of benthic habitats that comprise marine ecosystems, and assess the impact of fisheries on an ecosystem. In this study, the distribution of seabed habitats in a proposed no-take Marine Reserve along the northeast coast of Great Barrier Island, New Zealand, was mapped using underwater video combined with bathymetry and substratum data. As a result of the boundary extending to the 12 nautical mile Territorial Limit, it would have been the largest coastal Marine Reserve in the country. Recreational and commercial fisheries occur in the region and would be ex
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Immordino, Francesco, Mattia Barsanti, Elena Candigliota, Silvia Cocito, Ivana Delbono, and Andrea Peirano. "Application of Sentinel-2 Multispectral Data for Habitat Mapping of Pacific Islands: Palau Republic (Micronesia, Pacific Ocean)." Journal of Marine Science and Engineering 7, no. 9 (2019): 316. http://dx.doi.org/10.3390/jmse7090316.

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Sustainable and ecosystem-based marine spatial planning is a priority of Pacific Island countries basing their economy on marine resources. The urgency of management coral reef systems and associated coastal environments, threatened by the effects of climate change, require a detailed habitat mapping of the present status and a future monitoring of changes over time. Here, we present a remote sensing study using free available Sentinel-2 imagery for mapping at large scale the most sensible and high value habitats (corals, seagrasses, mangroves) of Palau Republic (Micronesia, Pacific Ocean), ca
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McRea, James E., H. Gary Greene, Victoria M. O'Connell, and W. Waldo Wakefield. "Mapping marine habitats with high resolution sidescan sonar." Oceanologica Acta 22, no. 6 (1999): 679–86. http://dx.doi.org/10.1016/s0399-1784(00)88958-6.

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Fyfe, Jim, Steven A. Israel, Albert Chong, Norhadi Ismail, Catriona L. Hurd, and Keith Probert. "Mapping Marine Habitats in Otago, Southern New Zealand." Geocarto International 14, no. 3 (1999): 17–28. http://dx.doi.org/10.1080/10106049908542113.

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Noji, Thomas, Heye Rumohr, and Stephen J. Smith. "Sediment–biota interactions and mapping marine habitats: an Introduction." ICES Journal of Marine Science 66, no. 9 (2009): 2012. http://dx.doi.org/10.1093/icesjms/fsp213.

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Lim, Aaron, Andrew J. Wheeler, and Luis Conti. "Cold-Water Coral Habitat Mapping: Trends and Developments in Acquisition and Processing Methods." Geosciences 11, no. 1 (2020): 9. http://dx.doi.org/10.3390/geosciences11010009.

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Cold-water coral (CWC) habitats are considered important centers of biodiversity in the deep sea, acting as spawning grounds and feeding area for many fish and invertebrates. Given their occurrence in remote parts of the planet, research on CWC habitats has largely been derived from remotely-sensed marine spatial data. However, with ever-developing marine data acquisition and processing methods and non-ubiquitous nature of infrastructure, many studies are completed in isolation resulting in large inconsistencies. Here, we present a concise review of marine remotely-sensed spatial raster data a
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Morsy, S., A. B. Yánez Suárez, and K. Robert. "3D MAPPING OF BENTHIC HABITAT USING XGBOOST AND STRUCTURE FROM MOTION PHOTOGRAMMETRY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (December 5, 2023): 1131–36. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-1131-2023.

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Abstract. 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-consuming. However, with technological advances, using machine learning (ML) algorithms with structure-from-motion (SfM) photogrammetry has become a promising approach for mapping benthic habitats accurately and at very high resolutions. This paper explores using SfM photogrammetry and extreme gradient boosting (XGBoost) classifier for b
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Peirano, Andrea, Mattia Barsanti, Ivana Delbono, et al. "Baseline Assessment of Ecological Quality Index (EQI) of the Marine Coastal Habitats of Tonga Archipelago: Application for Management of Remote Regions in the Pacific." Remote Sensing 15, no. 4 (2023): 909. http://dx.doi.org/10.3390/rs15040909.

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The loss of coral habitats and associated biodiversity have direct effects both on the physical dynamics of the coast and on natural resources, threatening the survival of local populations. Conservative actions, such as the creation of new Marine Protected Areas, are urgent measures needed to face climate change. Managers need fast and simple methods to evaluate marine habitats for planning conservation areas. Here, we present the application of an Ecological Quality Index (EQI), developed for regional-scale habitat maps of the Atlas of the Marine Coastal Habitats of the Kingdom of Tonga, by
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Mohamed, Hassan, Kazuo Nadaoka, and Takashi Nakamura. "Semiautomated Mapping of Benthic Habitats and Seagrass Species Using a Convolutional Neural Network Framework in Shallow Water Environments." Remote Sensing 12, no. 23 (2020): 4002. http://dx.doi.org/10.3390/rs12234002.

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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 processes and lead management actions. In this study, we propose a semiautomated framework for the detection and mapping of benthic habitats and seagrass species using convolutional neural networks (CNNs). Benthic habitat field data from a geo-located towed camera and high-resolution satellite images were integrated to evaluate the proposed framework
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Bianchi, Carlo Nike, Annalisa Azzola, Silvia Cocito, et al. "Biodiversity Monitoring in Mediterranean Marine Protected Areas: Scientific and Methodological Challenges." Diversity 14, no. 1 (2022): 43. http://dx.doi.org/10.3390/d14010043.

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Biodiversity is a portmanteau word to indicate the variety of life at all levels from genes to ecosystems, but it is often simplistically equated to species richness; the word ecodiversity has thus been coined to address habitat variety. Biodiversity represents the core of the natural capital, and as such needs to be quantified and followed over time. Marine Protected Areas (MPAs) are a major tool for biodiversity conservation at sea. Monitoring of both species and habitat diversity in MPAs is therefore mandatory and must include both inventory and periodic surveillance activities. In the case
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Papenmeier, Svenja, Alexander Darr, Peter Feldens, and Rune Michaelis. "Hydroacoustic Mapping of Geogenic Hard Substrates: Challenges and Review of German Approaches." Geosciences 10, no. 3 (2020): 100. http://dx.doi.org/10.3390/geosciences10030100.

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Subtidal hard substrate habitats are unique habitats in the marine environment. They provide crucial ecosystem services that are socially relevant, such as water clearance or as nursery space for fishes. With increasing marine usage and changing environmental conditions, pressure on reefs is increasing. All relevant directives and conventions around Europe include sublittoral hard substrate habitats in any manner. However, detailed specifications and specific advices about acquisition or delineation of these habitats are internationally rare although the demand for single object detection for
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15

Legrand, H., P. Lenfant, I. S. Sotheran, R. L. Foster-Smith, R. Galzin, and J.-P. Maréchal. "Mapping marine benthic habitats in Martinique (French West Indies)." Caribbean Journal of Science 46, no. 2-3 (2010): 267–82. http://dx.doi.org/10.18475/cjos.v46i2.a15.

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16

Ilich, Alexander R., Jennifer L. Brizzolara, Sarah E. Grasty, et al. "Integrating Towed Underwater Video and Multibeam Acoustics for Marine Benthic Habitat Mapping and Fish Population Estimation." Geosciences 11, no. 4 (2021): 176. http://dx.doi.org/10.3390/geosciences11040176.

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The west Florida shelf (WFS; Gulf of Mexico, USA) is an important area for commercial and recreational fishing, yet much of it remains unmapped and unexplored, hindering effective monitoring of fish stocks. The goals of this study were to map the habitat at an intensively fished area on the WFS known as “The Elbow”, assess the differences in fish communities among different habitat types, and estimate the abundance of each fish taxa within the study area. High-resolution multibeam bathymetric and backscatter data were combined with high-definition (HD) video data collected from a near-bottom t
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Schmiing, Mara, Jorge Fontes, and Pedro Afonso. "Predictive mapping of reproductive fish habitats to aid marine conservation planning." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 7 (2017): 1016–27. http://dx.doi.org/10.1139/cjfas-2015-0538.

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Postsettlement spillover from marine protected areas (MPAs) can support adjacent fished populations and has been subject of many scientific studies. The larval subsidy effect, on the contrary, is more challenging to study and less demonstrated, although it, arguably, provides key benefits for fisheries. We modeled and predicted the spatial distribution of fish spawning biomass and fecundity across a temperate insular MPA network (Azores archipelago, Northeast Atlantic) and identified potential single- and multispecies reproductive habitats (RHs) in shallow reefs. Reproductive strategies or ske
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18

Muhamad, Muhammad Abdul Hakim, Rozaimi Che Hasan, Najhan Md Said, Mohd Shahmy Mohd Said, and Raiz Razali. "Marine Habitat Mapping using Multibeam Echosounder Survey and Underwater Video Observations: A Case Study from Tioman Marine Park." IOP Conference Series: Earth and Environmental Science 1240, no. 1 (2023): 012006. http://dx.doi.org/10.1088/1755-1315/1240/1/012006.

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Abstract 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. The purpose of current study was threefold: (1) to extract bathymetric and backscatter derivatives from a multibeam dataset, (2) to measure the correlation between bathymetric and backscatter derivatives, and (3) to generate a marine habitat map using the Random Forest (RF). Tioman Marine Park (TMP), which is situated Southeast China Sea. MBES surveyed area are encompassed an area of 406
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Bakirman, T., M. U. Gumusay, and I. Tuney. "MAPPING OF THE SEAGRASS COVER ALONG THE MEDITERRANEAN COAST OF TURKEY USING LANDSAT 8 OLI IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1103–5. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1103-2016.

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Benthic habitat is defined as ecological environment where marine animals, plants and other organisms live in. Benthic habitat mapping is defined as plotting the distribution and extent of habitats to create a map with complete coverage of the seabed showing distinct boundaries separating adjacent habitats or the use of spatially continuous environmental data sets to represent and predict biological patterns on the seafloor. Seagrass is an essential endemic marine species that prevents coast erosion and regulates carbon dioxide absorption in both undersea and atmosphere. Fishing, mining, pollu
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Bakirman, T., M. U. Gumusay, and I. Tuney. "MAPPING OF THE SEAGRASS COVER ALONG THE MEDITERRANEAN COAST OF TURKEY USING LANDSAT 8 OLI IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1103–5. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1103-2016.

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Benthic habitat is defined as ecological environment where marine animals, plants and other organisms live in. Benthic habitat mapping is defined as plotting the distribution and extent of habitats to create a map with complete coverage of the seabed showing distinct boundaries separating adjacent habitats or the use of spatially continuous environmental data sets to represent and predict biological patterns on the seafloor. Seagrass is an essential endemic marine species that prevents coast erosion and regulates carbon dioxide absorption in both undersea and atmosphere. Fishing, mining, pollu
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Scales, Kylie L., Peter I. Miller, Clare B. Embling, Simon N. Ingram, Enrico Pirotta, and Stephen C. Votier. "Mesoscale fronts as foraging habitats: composite front mapping reveals oceanographic drivers of habitat use for a pelagic seabird." Journal of The Royal Society Interface 11, no. 100 (2014): 20140679. http://dx.doi.org/10.1098/rsif.2014.0679.

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The oceanographic drivers of marine vertebrate habitat use are poorly understood yet fundamental to our knowledge of marine ecosystem functioning. Here, we use composite front mapping and high-resolution GPS tracking to determine the significance of mesoscale oceanographic fronts as physical drivers of foraging habitat selection in northern gannets Morus bassanus . We tracked 66 breeding gannets from a Celtic Sea colony over 2 years and used residence time to identify area-restricted search (ARS) behaviour. Composite front maps identified thermal and chlorophyll- a mesoscale fronts at two diff
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Nababan, Bisman, La Ode Khairum Mastu, Nurul Hazrina Idris, and James P. Panjaitan. "Shallow-Water Benthic Habitat Mapping Using Drone with Object Based Image Analyses." Remote Sensing 13, no. 21 (2021): 4452. http://dx.doi.org/10.3390/rs13214452.

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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 very complex coral reef ecosystem. The drone technology that has rapidly developed in this decade, can be used to map benthic habitats in this area. This study aimed to map shallow-water benthic habitats using drone technology in the region of Wangiwangi island waters, Wakatobi District, Indonesia. The field data were collected using a 50 × 50
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Valentine, Page C., Guy R. Cochrane, and Kathryn M. Scanlon. "Mapping the Seabed and Habitats in National Marine Sanctuaries—Examples from the East, Gulf and West Coasts." Marine Technology Society Journal 37, no. 1 (2003): 10–17. http://dx.doi.org/10.4031/002533203787537465.

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The National Marine Sanctuary System requires seabed and habitat maps to serve as a basis for managing sanctuary resources and for conducting research. NOAA, the agency that manages the sanctuaries, and the USGS have conducted mapping projects in three sanctuaries (Stellwagen Bank NMS, Flower Garden Banks NMS, and Channel Islands NMS) with an emphasis on collaboration of geologists and biologists from the two agencies and from academic institutions. Mapping of seabed habitats is a developing field that requires the integration of geologic and biologic studies and the use of swath imaging techn
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Georgiou, Nikos, Xenophon Dimas, and George Papatheodorou. "Integrated Methodological Approach for the Documentation of Marine Priority Habitats and Submerged Antiquities: Examples from the Saronic Gulf, Greece." Sustainability 13, no. 21 (2021): 12327. http://dx.doi.org/10.3390/su132112327.

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The rising human activities and resource exploitation have increased pressure in the coastal zone and the marine environment, risking the very existence of Marine Priority Habitats (MPH) and Underwater Cultural Heritage (UCH). The delimitation of these two priority areas in a time- and cost-effective way is essential for the sustainable management and exploitation of sea resources and natural-cultural heritage preservation. We propose an Integrated Methodological Approach for the Detection and Mapping of MPH and UCH. To achieve this, we used a downscale methodological approach of increasing sp
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Teixeira, João Batista, Agnaldo Silva Martins, Hudson Tercio Pinheiro, Nelio Augusto Secchin, Rodrigo Leão de Moura, and Alex Cardoso Bastos. "Traditional Ecological Knowledge and the mapping of benthic marine habitats." Journal of Environmental Management 115 (January 2013): 241–50. http://dx.doi.org/10.1016/j.jenvman.2012.11.020.

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Kenny, A. J., I. Cato, M. Desprez, G. Fader, R. T. E. Schüttenhelm, and J. Side. "An overview of seabed-mapping technologies in the context of marine habitat classification☆." ICES Journal of Marine Science 60, no. 2 (2003): 411–18. http://dx.doi.org/10.1016/s1054-3139(03)00006-7.

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Abstract A wide range of seabed-mapping technologies is reviewed in respect to their effectiveness in discriminating benthic habitats at different spatial scales. Of the seabed attributes considered important in controlling the benthic community of marine sands and gravel, sediment grain size, porosity or shear strength, and sediment dynamics were highlighted as the most important. Whilst no one mapping system can quantify all these attributes at the same time, some may be estimated by skilful interpretation of the remotely sensed data. For example, seabed processes or features, such as bedfor
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de los Ángeles Liceaga-Correa, María, Eduardo Cuevas, and Mauricio Garduño-Andrade. "Spatial characterization of a foraging area for immature hawksbill turtles (Eretmochelys imbricata) in Yucatan, Mexico." Amphibia-Reptilia 28, no. 3 (2007): 337–46. http://dx.doi.org/10.1163/156853807781374683.

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AbstractThe submarine habitats in the Rio Lagartos Sea Turtle Sanctuary, Mexico, are an important feeding and development area for juvenile Hawksbill turtles (Eretmochelys imbricata). The characterization of these critical habitats is an important and urgent issue to attend for the conservation of this species in Mexico. The objective of this study is to identify, locate and describe the marine benthic habitats in this area, and explain the distribution of the juvenile Hawksbill turtles in the study area. We used submarine techniques such as videotransects and spot checks to characterize the b
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Warner, Philip, Jamel Banton, David Smith, and Renée McDonald Lyn Shue. "ROCK ARMOUR: A BENTHIC HABITAT PROVIDING VALUABLE ECOSYSTEM SERVICES IN THE CARIBBEAN SEA." Coastal Engineering Proceedings, no. 37 (September 1, 2023): 95. http://dx.doi.org/10.9753/icce.v37.management.95.

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This paper describes our findings from ecological surveys at several shoreline and beach enhancement projects in the Caribbean. Using standard fish abundance and diversity surveys and benthic habitat mapping protocols, we track how rock armour transitions from a barren substrate at installation to a diverse marine ecosystem over time. The ecosystem services provided by the rock armour have been evaluated and compare well with naturally occurring habitats. Using available economic benefit analyses, we estimate the value of these ecosystem services at various stages as the rock armour habitat ma
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Jurkus, Egidijus, Ramūnas Povilanskas, Artūras Razinkovas-Baziukas, and Julius Taminskas. "Current Trends and Issues in Applications of Remote Sensing in Coastal and Marine Conservation." Earth 3, no. 1 (2022): 433–47. http://dx.doi.org/10.3390/earth3010026.

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The background of this feature article is a necessity to systematize a vast array of issues pertinent to the latest applications of remote sensing in coastal and marine conservation. Hence the purpose of this study: stocktaking of cutting-edge research articles in this field and eliciting the essential trends and issues shaping the knowledge and future research and technical development perspectives in coastal and marine nature conservation, which is pivotal for meeting the United Nations Sustainable Development Goals till 2030. A hierarchical cluster analysis was undertaken with the KH Coder
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Nandika, Muhammad Rizki, Azura Ulfa, Andi Ibrahim, and Anang Dwi Purwanto. "Assessing the Shallow Water Habitat Mapping Extracted from High-Resolution Satellite Image with Multi Classification Algorithms." Geomatics and Environmental Engineering 17, no. 2 (2023): 69–87. http://dx.doi.org/10.7494/geom.2023.17.2.69.

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Remote sensing technology is reliable in identifying the distribution of seabed cover yet there are still challenges in retrieving the data collection of shallow water habitats than with other objects on land. Classification algorithms based on remote sensing technology have been developed for application to map benthic habitats, such as Maximum Likelihood, Minimum Distance, and Support Vector Machine. This study focuses on examining those three classification algorithms to retrieve information on the benthic habitat in Pari Island, Jakarta using visual interpretation data for classification,
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Bekkby, Trine, and Martin Isæus. "Mapping large, shallow inlets and bays: modelling a Natura 2000 habitat with digital terrain and wave-exposure models." ICES Journal of Marine Science 65, no. 2 (2008): 238–41. http://dx.doi.org/10.1093/icesjms/fsn005.

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Abstract Bekkby, T., and Isæus, M. 2008. Mapping large, shallow inlets and bays: modelling a Natura 2000 habitat with digital terrain and wave-exposure models. – ICES Journal of Marine Science, 65: 238–241. EU member countries are obliged to protect a certain share of Natura 2000 habitats. Hence, these habitats must be mapped. This paper is an attempt to provide a tool for modelling one of the Natura 2000 habitat, the “large shallow inlets and bays” (Natura 2000 habitat 1160), using a Norwegian archipelagic area as a case study. The Natura 2000 definition of the habitat is interpreted into cri
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da Silveira, Camila Brasil Louro, Gil Marcelo Reuss Strenzel, Mauro Maida, Ana Lídia Bertoldi Gaspar, and Beatrice Padovani Ferreira. "Coral Reef Mapping with Remote Sensing and Machine Learning: A Nurture and Nature Analysis in Marine Protected Areas." Remote Sensing 13, no. 15 (2021): 2907. http://dx.doi.org/10.3390/rs13152907.

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Mapping habitats is essential to assist strategic decisions regarding the use and protection of coral reefs. Coupled with machine learning (ML) algorithms, remote sensing has allowed detailed mapping of reefs at meaningful scales. Here we integrated WorldView-3 and Landsat-8 imagery and ML techniques to produce a map of suitable habitats for the occurrence of a model species, the hydrocoral Millepora alcicornis, in coral reefs located inside marine protected areas in Northeast Brazil. Conservation and management efforts in the region were also analyzed, integrating human use layers to the ecol
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Forsey, D., B. Leblon, A. LaRocque, M. Skinner, and A. Douglas. "EELGRASS MAPPING IN ATLANTIC CANADA USING WORLDVIEW-2 IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 685–92. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-685-2020.

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Abstract. Eelgrass (Zostera marina L.) is a marine angiosperm plant that grows throughout coastal areas in Atlantic Canada. Eelgrass meadows provide numerous ecosystem services, and while they have been acknowledged as important habitats, their location, extent, and health in Atlantic Canada are poorly understood. This study examined the effectiveness of WorldView-2 optical satellite imagery to map eelgrass presence in Tabusintac Bay, New Brunswick (Canada), an estuarine lagoon with extensive eelgrass coverage. The imagery was classified using two supervised classifiers: the parametric Maximum
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Talpaert Daudon, J., M. Contini, I. Urbina-Barreto, et al. "GEOAI FOR MARINE ECOSYSTEM MONITORING: A COMPLETE WORKFLOW TO GENERATE MAPS FROM AI MODEL PREDICTIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W7-2023 (June 22, 2023): 223–30. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w7-2023-223-2023.

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Abstract. Mapping and monitoring marine ecosystems imply several challenges for data collection and processing: water depth, restricted access to locations, instrumentation costs or weather constraints for sampling, among others. Nowadays, Artificial Intelligence (AI) and Geographic Information System (GIS) open source software can be combined in new kinds of workflows, to annotate and predict objects directly on georeferenced raster data (e.g. orthomosaics). Here, we describe and share the code of a generic method to train a deep learning model with spatial annotations and use it to directly
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Teixeira, L., M. Nilsson, J. Hedley, and A. Shapiro. "BENTHIC HABITAT MAPPING AND BIODIVERSITY ANALYSIS IN THE PRIMEIRAS AND SEGUNDAS ARCHIPELAGO RESERVE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1009–16. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1009-2015.

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The Primeiras and Segundas Archipelago Reserve is a recently established marine protected area, the largest in Africa, located in the waters of Northern Mozambique. This protected area is of significant local economic importance and global ecological relevance, containing the southernmost coral reefs in Eastern Africa. However, information related to the marine ecosystem, notably benthic habitat is very scarce. Twelve atolls were mapped in the region using object-based image classification of very-high resolution satellite imagery (IKONOS, Quickbird, and WorldView-2). Geographically referenced
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Fakiris, Elias, Philippe Blondel, George Papatheodorou, et al. "Multi-Frequency, Multi-Sonar Mapping of Shallow Habitats—Efficacy and Management Implications in the National Marine Park of Zakynthos, Greece." Remote Sensing 11, no. 4 (2019): 461. http://dx.doi.org/10.3390/rs11040461.

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In this work, multibeam echosounder (MBES) and dual frequency sidescan sonar (SSS) data are combined to map the shallow (5–100 m) benthic habitats of the National Marine Park of Zakynthos (NMPZ), Greece, a Marine Protected Area (MPA). NMPZ hosts extensive prairies of the protected Mediterranean phanerogams Posidonia oceanica and Cymodocea nodosa, as well as reefs and sandbanks. Seafloor characterization is achieved using the multi-frequency acoustic backscatter of: (a) the two simultaneous frequencies of the SSS (100 and 400 kHz) and (b) the MBES (180 kHz), as well as the MBES bathymetry. Over
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Lavrinenko, I. A. "Approaches of european ecologists to typology and mapping of habitats." Geobotanical mapping, no. 2020 (December 2020): 51–77. http://dx.doi.org/10.31111/geobotmap/2020.51.

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The presence of appropriate habitats is a necessary condition for the existence of flora and fauna. In recent decades, it has become obvious that monitoring of a state not only populations of rare species, and, first, habitats which for a biota are vital, is necessary (Galdenzi et al., 2012; Rodríguez et al., 2012; Izco, 2015; Keith et al., 2015; etc.). The paper discusses the main European programs and projects devoted to the classification, mapping and inventory of habitats, the formation of lists of biotopes in need of protection (Berne Convention, Habitats Directive, Nature 2000, CORINE, E
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Stevens, Tim, and Rod M. Connolly. "Local-scale mapping of benthic habitats to assess representation in a marine protected area." Marine and Freshwater Research 56, no. 1 (2005): 111. http://dx.doi.org/10.1071/mf04233.

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Macrobenthic habitat types were classified and mapped using a compact video array at 78 sites spaced 5 km apart in Moreton Bay, Australia. The area mapped was about 2400 km2 and extended from estuarine shallow subtidal waters to offshore areas to the 50-m isobath. Nine habitat types were recognised, with only one on hard substrate, and their representation within an existing marine protected area was assessed. Only two habitat types were represented in highly protected (no-take) zones, with less than 3% of the total area of each habitat type included. The habitat mapping characterised several
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Knudby, Anders, Ellsworth LeDrew, and Candace Newman. "Progress in the use of remote sensing for coral reef biodiversity studies." Progress in Physical Geography: Earth and Environment 31, no. 4 (2007): 421–34. http://dx.doi.org/10.1177/0309133307081292.

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Coral reefs are hotspots of marine biodiversity, and their global decline is a threat to our natural heritage. Conservation management of these precious ecosystems relies on accurate and up-to-date information about ecosystem health and the distribution of species and habitats, but such information can be costly to gather and interpret in the field. Remote sensing has proven capable of collecting information on geomorphologic zones and substrate types for coral reef environments, and is cost-effective when information is needed for large areas. Remote sensing-based mapping of coral habitat var
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Lucieer, V. L. "Object‐oriented classification of sidescan sonar data for mapping benthic marine habitats." International Journal of Remote Sensing 29, no. 3 (2007): 905–21. http://dx.doi.org/10.1080/01431160701311309.

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Populus, Jacques, Ana Maria Rodrigues, Fergal McGrath, et al. "Preface to “MeshAtlantic: Mapping Atlantic area seabed habitats for better marine management”." Journal of Sea Research 100 (June 2015): 1. http://dx.doi.org/10.1016/j.seares.2015.06.007.

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Huang, Zhi, Brendan P. Brooke, and Peter T. Harris. "A new approach to mapping marine benthic habitats using physical environmental data." Continental Shelf Research 31, no. 2 (2011): S4—S16. http://dx.doi.org/10.1016/j.csr.2010.03.012.

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Bullimore, Ross D., Nicola L. Foster, and Kerry L. Howell. "Coral-characterized benthic assemblages of the deep Northeast Atlantic: defining “Coral Gardens” to support future habitat mapping efforts." ICES Journal of Marine Science 70, no. 3 (2013): 511–22. http://dx.doi.org/10.1093/icesjms/fss195.

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Abstract Bullimore, R. D., Foster, N. L., and Howell, K. L. 2013. Coral-characterized benthic assemblages of the deep Northeast Atlantic: defining “Coral Gardens” to support future habitat mapping efforts – ICES Journal of Marine Science, 70: 511–522. Providing statistically robust maps of habitat distributions on which to base spatial planning and management of the marine area is reliant upon established and agreed descriptions and definitions of habitats. “Coral Gardens” is an Oslo–Paris Convention (OSPAR) listed habitat, which currently cannot be reliably mapped as a result of poorly develo
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Wan, Jiaxin, Zhiliang Qin, Xiaodong Cui, et al. "MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model." Remote Sensing 14, no. 15 (2022): 3708. http://dx.doi.org/10.3390/rs14153708.

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High-precision habitat mapping can contribute to the identification and quantification of the human footprint on the seafloor. As a representative of seafloor habitats, seabed sediment classification is crucial for marine geological research, marine environment monitoring, marine engineering construction, and seabed biotic and abiotic resource assessment. Multibeam echo-sounding systems (MBES) have become the most popular tool in terms of acoustic equipment for seabed sediment classification. However, sonar images tend to consist of obvious noise and stripe interference. Furthermore, the low e
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Paganelli, Daniela, Paola La Valle, Marina Pulcini, et al. "Towards an evaluation of physical loss pressure in the Italian seas for the implementation of the marine strategy framework directive." Journal of the Marine Biological Association of the United Kingdom 98, no. 1 (2017): 61–69. http://dx.doi.org/10.1017/s0025315417000911.

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All over the world marine waters are under increasing pressure from human activities affecting marine ecosystems. Several EU Directives require assessment of the condition of marine environments; in particular the Marine Strategy Framework Directive (MSFD) applies an ecosystem approach to the management of human activities. In this context, the mapping of pressures in a standardized and comparable way is a critical step to assess the spatial pattern, the temporal change and the ecological impacts of human pressures. Within the MSFD, one of the stressors directly affecting the seafloor is the P
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Rende, F. S., A. D. Irving, A. Lagudi, et al. "PILOT APPLICATION OF 3D UNDERWATER IMAGING TECHNIQUES FOR MAPPING POSIDONIA OCEANICA (L.) DELILE MEADOWS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W5 (April 9, 2015): 177–81. http://dx.doi.org/10.5194/isprsarchives-xl-5-w5-177-2015.

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Seagrass communities are considered one of the most productive and complex marine ecosystems. Seagrasses belong to a small group of 66 species that can form extensive meadows in all coastal areas of our planet. <i>Posidonia oceanica</i> beds are the most characteristic ecosystem of the Mediterranean Sea, and should be constantly monitored, preserved and maintained, as specified by EU Habitats Directive for priority habitats. Underwater 3D imaging by means of still or video cameras can allow a detailed analysis of the temporal evolution of these meadows, but also of the seafloor mor
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Marx, Denise, Agata Feldens, Svenja Papenmeier, et al. "Habitats and Biotopes in the German Baltic Sea." Biology 13, no. 1 (2023): 6. http://dx.doi.org/10.3390/biology13010006.

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To maintain or enhance biodiversity and sea floor integrity, mapping benthic habitats is a mandatory requirement in compliance with the Marine Strategy Framework Directive (MSFD). The EU Commission Decision distinguishes between Broad Habitat Types (BHTs) and Other Habitat Types (OHTs). At the regional level, biotopes in the Baltic Sea region are classified according to the HELCOM underwater biotope and habitat classification (HUB). In this study, the habitats and their benthic communities were mapped for the entire German Baltic Sea at a high spatial resolution of 1 km. In two nature conserva
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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 (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
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Br Ginting, Devica Natalia, and Anang Dwi Purwanto. "Semi-Automatic Classification Model on Benthic Habitat Using Spot-7 Imagery in Penerusan Bay, Bali." Jurnal Segara 17, no. 3 (2021): 185. http://dx.doi.org/10.15578/segara.v17i3.9771.

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Benthic habitats are one of the interesting marine resources and its existence must be preserved. Provision of up-to-date benthic habitat information requires a relatively large amount of time and money. The use of remote sensing technology is one of the best solution. This study aims to develop a semi-automatic processing model that is fast, accurate, and with broad spatial coverage. The satellite image data used is the SPOT-7 image acquired on April 11th, 2018. The method used is a supervised classification with a decision tree algorithm. The analysis was carried out using a script developed
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Le Quilleuc, Alyson, Antoine Collin, Michael F. Jasinski, and Rodolphe Devillers. "Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2." Remote Sensing 14, no. 1 (2021): 133. http://dx.doi.org/10.3390/rs14010133.

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Accurate and reliable bathymetric data are needed for a wide diversity of marine research and management applications. Satellite-derived bathymetry represents a time saving method to map large shallow waters of remote regions compared to the current costly in situ measurement techniques. This study aims to create very high-resolution (VHR) bathymetry and habitat mapping in Mayotte island waters (Indian Ocean) by fusing 0.5 m Pleiades-1 passive multispectral imagery and active ICESat-2 LiDAR bathymetry. ICESat-2 georeferenced photons were filtered to remove noise and corrected for water column
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