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Auswahl der wissenschaftlichen Literatur zum Thema „Marine habitats mapping“

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Zeitschriftenartikel zum Thema "Marine habitats mapping"

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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2

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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5

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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7

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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8

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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9

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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