Evaluating the Impact of Engineering Works in Megatidal Areas Using Satellite Images—Case of the Mont-Saint-Michel Bay, France DOI Creative Commons
Jean-Paul Deroin

GeoHazards, Год журнала: 2023, Номер 4(4), С. 453 - 474

Опубликована: Ноя. 10, 2023

The Mont-Saint-Michel is known worldwide for its unique combination of the natural site and Medieval abbey at top rocky islet. But Mont also located within an estuarine complex, which considerably silting up. For two decades, large-scale works were planned to prevent from being surrounded by expanding salt meadows. construction a new dam over Couesnon River, digging channels, destruction causeway main operations carried out between 2007 2015. remote sensing approach fully suitable evaluating real impact engineering project, particularly expected hydrosedimentary effects reestablishing maritime landscape around Mont. migration different channels erosion-progradation balance vegetation through space time are features study. Between 2023, erosion meadows was significant south-west but more limited south-east. During same period, sedimentation increased north-east Bay, seems be facing silting-up problem. At this stage, remote-sensing survey indicates mixed results project.

Язык: Английский

Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China DOI

Jia Lin Sun,

Sijing Shu,

Hongda Hu

и другие.

Ocean & Coastal Management, Год журнала: 2025, Номер 262, С. 107576 - 107576

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

1

Applications, Evolutions, and Challenges of Drones in Maritime Transport DOI Creative Commons
Jingbo Wang, Kaiwen Zhou, Wenbin Xing

и другие.

Journal of Marine Science and Engineering, Год журнала: 2023, Номер 11(11), С. 2056 - 2056

Опубликована: Окт. 27, 2023

The widespread interest in using drones maritime transport has rapidly grown alongside the development of unmanned ships and drones. To stimulate growth address associated technical challenges, this paper systematically reviews relevant research progress, classification, applications, possible solutions related to use sector. findings provide an overview state art applications industry over past 20 years identify existing problems bottlenecks field. A new classification scheme is established based on their flight characteristics aid distinguishing drones’ transport. Further, discusses specific cases aspects rescue, safety, navigation, environment, communication, other aspects, providing in-depth guidance future different mainstream applications. Lastly, challenges facing these are identified, corresponding proposed them. This offers pivotal insights pertinent knowledge beneficial various entities such as regulatory bodies, shipping firms, academic institutions, enterprises engaged drone production. makes contributions terms comprehensive analysis discussion application provision support for promoting further integration with intelligent

Язык: Английский

Процитировано

15

From Remote Sensing to Artificial Intelligence in Coral Reef Monitoring DOI Creative Commons
Victor J. Piñeros, Alicia Maria Reveles-Espinoza, Jesús A. Monroy

и другие.

Machines, Год журнала: 2024, Номер 12(10), С. 693 - 693

Опубликована: Окт. 1, 2024

This review comprehensively covers the development of viable unmanned underwater vehicles based on their technical capabilities, in particular those designed to conduct research exploration ecosystems and address environmental issues through analysis coral reef vulnerability. The most important elements be obtained are situ data samples for characterization, supported by molecular biomarkers marine ecology indicators. following aspects considered this study: first, geographic distribution reefs study biological approaches detection evaluate vulnerability detailed; then, technologies currently available briefly described, ranging from large-scale capture local-scale directly region, taking advantage remote sensing systems assisted aerial technologies, vehicles, artificial intelligence mapping, monitoring, management as well characterization vulnerability; this, existing vehicle generally explained, including a categorical description an updated highlighted list innovative robust that have been used applications; capabilities such throughout missions they subjected presented bibliographic references; finally, promotes multidisciplinary work integrate developments associated knowledge areas order obtain synergies face challenges related massive scale degradation worldwide.

Язык: Английский

Процитировано

4

Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos DOI Creative Commons

Juan Du,

Meiqin Huang,

Zhenjun Kang

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Март 5, 2025

Pile culture is a breeding method commonly used for oyster seedlings in the intertidal zone of southern China. Artificial visual interpretation serves as primary monitoring approach seedling cultivation marine areas. Manual often time-consuming, inefficient, and does not provide spatially continuous information about structure. Consequently, obtaining data on pile columns areas presents certain limitations. This study focuses Shajing Town, Qinzhou City, Guangxi Zhuang Autonomous Region, China, its research area. It utilizes multi-spectral image from unmanned aerial vehicles (UAVs), light detection ranging (LiDAR) point cloud technology, deep learning algorithms to extract representative Maowei Sea within Beibu Gulf. By employing band features texture indices extracted UAV’s images sources combining them with classification prediction model based convolutional neural networks (CNN), we successfully desired columns. The results demonstrate that: 1) comparing three machine models integrating LiDAR column height (OPCHM) into S3 scenario, network (CNN) attains an impressive overall accuracy (OA) 96.54% Kappa coefficient 0.9593, significantly enhancing optimizing CNN’s predictive tasks; 2) In comparison conventional algorithms, exhibits remarkable feature extraction capability.

Язык: Английский

Процитировано

0

Dynamic monitoring of marine floating raft aquaculture in Jiangsu province based on multi-source SAR imagery DOI Creative Commons
Li Wen,

Jia Xu,

Yuanyuan Chen

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Май 9, 2025

Long-term change monitoring of marine floating raft aquaculture (MFRA) in Jiangsu Province is urgently needed to support restructuring and protect the regional environment. Optical remote sensing images have been widely used extraction MFRA but are usually limited by cloudy rainy weather conditions. Compared with optical images, Synthetic Aperture Radar (SAR) can acquire even under dense cloud cover, offering a reliable alternative. However, existing studies mainly focused on geographic areas didn’t consider different types MFRA. This study proposes an automatic framework for based multi-source SAR imagery. To achieve better MFRA, two key enhancements were introduced. First, SDWI SDRI indices utilized effectively differentiate from seawater. Second, deep learning termed Boundary-Enhancing Swin Transformer (BE-Swin) was developed extracting Results showed that (1) Combining ALOS-1 Sentinel-1 data enabled mapping long-term dynamics province, China. (2) other neural network models, BE-Swin model improved accuracy incorporating 3 modules within Transformer. The enhances boundary extraction, reducing errors, omissions, adhesion issues. (3) distributed Haizhou Bay Lianyungang, radial ridge group region Yancheng, northern coast Nantong. From 2008 2022, coastal experienced rapid expansion followed gradual contraction. (4) be categorized into three types, pole-pixed, semi-floating, full-floating aquaculture. area pole-fixed steadily increased, reaching 171.38 km 2 2022. Semi-floating peaked at 318.36 2015 reduced nearly half Full-floating initially absent has shown trend toward large-scale adoption, 78.42

Язык: Английский

Процитировано

0

Intelligent Evaluation and Dynamic Prediction of Oysters Freshness with Electronic Nose Non-Destructive Monitoring and Machine Learning DOI Creative Commons
Baichuan Wang, Yueyue Li,

Kang Liu

и другие.

Biosensors, Год журнала: 2024, Номер 14(10), С. 502 - 502

Опубликована: Окт. 14, 2024

Physiological and environmental fluctuations in the oyster cold chain can lead to quality deterioration, highlighting importance of monitoring evaluating freshness. In this study, an electronic nose was developed using ten partially selective metal oxide-based gas sensors for rapid freshness assessment. Simultaneous analyses, including GC-MS, TVBN, microorganism, texture, sensory evaluations, were conducted assess status oysters. Real-time measurements taken at various storage temperatures (4 °C, 12 20 28 °C) thoroughly investigate changes under different conditions. Principal component analysis utilized reduce 10-dimensional vectors 3-dimensional vectors, enabling clustering samples into fresh, sub-fresh, decayed categories. A GA-BP neural network model based on these three classes achieved a test data accuracy rate exceeding 93%. Expert input solicited performance optimization suggestions enhanced efficiency applicability established prediction system. The results demonstrate that combining with indices is effective approach diagnosing spoilage mitigating safety risks industry.

Язык: Английский

Процитировано

1

The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance DOI Creative Commons
Jenny Bueno, Sarah E. Lester, Joshua L. Breithaupt

и другие.

Remote Sensing in Ecology and Conservation, Год журнала: 2024, Номер unknown

Опубликована: Авг. 13, 2024

Abstract The eastern oyster ( Crassostrea virginica ) is a coastal foundation species currently under threat from anthropogenic activities both globally and in the Apalachicola Bay region of north Florida. Oysters provide numerous ecosystem services, it important to establish efficient reliable methods for their effective monitoring management. Traditional techniques, such as quadrat density sampling, can be labor‐intensive, destructive oysters reefs, may spatially limited. In this study, we demonstrate how unoccupied aerial systems (UAS) used efficiently generate high‐resolution geospatial reef condition data over large areas. These data, with appropriate ground truthing minimal effectively monitor size abundance clusters on intertidal reefs. Utilizing structure‐from‐motion photogrammetry techniques create three‐dimensional topographic models, reconstructed distribution, spatial reefs Bay. Ground revealed 97% accuracy cluster presence detection by UAS products confirmed that live are predominately located within clusters, supporting use features estimate population status. We found positive significant relationship between counts. findings allowed us extract predict 138 covering 382 m 2 two locations. Oyster densities varied sites, higher occurring at one site bounds, lower areas adjacent Repeated 2022 2023 relatively stable time. This study demonstrated successful application drone imagery combined providing repeatable method mapping inform conservation, restoration management strategies populations.

Язык: Английский

Процитировано

0

Assessing intertidal sediment photopigment content from spectral reflectance with an UAV-mounted 10-band multispectral sensor DOI
Tristan J. Douglas, Nicholas C. Coops, Mark C. Drever

и другие.

Remote Sensing Letters, Год журнала: 2024, Номер 16(2), С. 109 - 124

Опубликована: Дек. 16, 2024

Multispectral sensors mounted to unoccupied aerial vehicles (UAVs) can be leveraged quantify microphytobenthos (MPB) biomass in intertidal mudflats, providing data products with cm-scale pixels. However, no standard protocol currently exists for calibrating UAV-acquired spectral information sediment MPB content. Here, we present a new from UAV-mounted multispectral sensor as measured by photopigment To do so, developed methodology acquiring and analyzing UAV imagery field data. We then implemented the Fraser River Estuary, Canada build statistically valid calibration equation, testing effectiveness of several indices measurements. Calibrated index values provide very accurate measurement biomass, able achieve 90 % correlation between normalized difference vegetation (NDVI) chlorophyl-a (chl-a) concentration. This high performance was achieved closely pairing georeferenced samples corresponding minimizing lag sample collection acquisition. facilitate use calibrated investigating ecologically-important fine-scale spatial heterogeneity biomass.

Язык: Английский

Процитировано

0

Evaluating the Impact of Engineering Works in Megatidal Areas Using Satellite Images—Case of the Mont-Saint-Michel Bay, France DOI Creative Commons
Jean-Paul Deroin

GeoHazards, Год журнала: 2023, Номер 4(4), С. 453 - 474

Опубликована: Ноя. 10, 2023

The Mont-Saint-Michel is known worldwide for its unique combination of the natural site and Medieval abbey at top rocky islet. But Mont also located within an estuarine complex, which considerably silting up. For two decades, large-scale works were planned to prevent from being surrounded by expanding salt meadows. construction a new dam over Couesnon River, digging channels, destruction causeway main operations carried out between 2007 2015. remote sensing approach fully suitable evaluating real impact engineering project, particularly expected hydrosedimentary effects reestablishing maritime landscape around Mont. migration different channels erosion-progradation balance vegetation through space time are features study. Between 2023, erosion meadows was significant south-west but more limited south-east. During same period, sedimentation increased north-east Bay, seems be facing silting-up problem. At this stage, remote-sensing survey indicates mixed results project.

Язык: Английский

Процитировано

0