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Shilin Song and Yuji Sakuno
Coastal blue carbon ecosystems are crucial to mitigating global warming. To accurately calculate the blue carbon stock, the existing amount of each species in seaweed and seagrass (SWSG) beds must be estimated to calculate the amount of CO2 absorbed by e...
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Nam-Thang Ha, Merilyn Manley-Harris, Tien-Dat Pham and Ian Hawes
Seagrass provides a wide range of essential ecosystem services, supports climate change mitigation, and contributes to blue carbon sequestration. This resource, however, is undergoing significant declines across the globe, and there is an urgent need to ...
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Sante Francesco Rende, Alessandro Bosman, Rossella Di Mento, Fabio Bruno, Antonio Lagudi, Andrew D. Irving, Luigi Dattola, Luca Di Giambattista, Pasquale Lanera, Raffaele Proietti, Luca Parlagreco, Mascha Stroobant and Emilio Cellini
In this study, we present a framework for seagrass habitat mapping in shallow (5?50 m) and very shallow water (0?5 m) by combining acoustic, optical data and Object-based Image classification. The combination of satellite multispectral images-acquired fr...
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Philipp Held and Jens Schneider von Deimling
A new method for multibeam echosounder (MBES) data analysis is presented with the aim of improving habitat mapping, especially when considering submerged aquatic vegetation (SAV). MBES data were acquired with 400 kHz in 1?8 m water depth with a spatial r...
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Francesco Immordino, Mattia Barsanti, Elena Candigliota, Silvia Cocito, Ivana Delbono and Andrea Peirano
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 cli...
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Lihong Su and Yuxia Huang
Seagrass meadows play important roles as habitats for many marine organisms, traps for sediment, and buffers against wave actions. The objective of this paper is to map seagrass meadows in the Redfish Bay, Texas from WorldView-2 imagery. Seagrass meadows...
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Syahrul Purnawan,Fauzan Aulia,Teuku Khairuman
Pág. 63 - 68
The objective of the present study was to gathers information about the seagrass distribution area using the remote sensing that retrieved from Landsat-8. Analysis of Landsat-8 image is classified into 6 classes; seagrass, coral reefs, sand, sea, and clo...
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Grant Smith, Ertan Yesilnacar, Junsheng Jiang and Christian Taylor
Accurate and efficient species-based marine habitat assessment is in great demand for the marine environment. Remote sensing techniques including airborne light detection and ranging (LiDAR) derived bathymetry can now be used, in concert with suitable gr...
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