• Journal of the Korean Society for Marine Environment & Energy
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• v.10 no.3
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• pp.148-154
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• 2007

This study investigated the spatial distribution of the marine debris in Jinudo in the Nakdong river estuary. Types of marine debris in Jinudo are analyzed through sampling around some portion of its sandbar shoreline. The present study and its main results are summarized as follow: 1) Monitoring system, for evaluating the volume of marine debris, was established in the coastal region of $50\;m\;{\times}\;50\;m\;(=0.002\;km^2)$ over the southern part of Jinudo. All the marine debris of conceivable form are collected and their amount was also estimated. 2) During the $1^{st}$ collection in May 2007, the total weight of the marine debris was 1,110 kg in this site, which means the density of marine debris around the shoreline is $444\;ton/km^2$. After one month later, the collected marine debris was 23.75 kg and so we have the average density of $9.5\;ton/km^2$. From these results, it is suggested that the marine debris of 316.67kg was being accumulated per day over unit area($1\;km^2$). 3) The most frequent marine debris collected during monitoring campaigns was wooden material amounting to 85.86% of the whole collection; the rest were fishing gears such as nets and buoys(5.13%), household waste(2.34%), glass(0.94%) and metals(0.27%).

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.453-466
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• 2024

To improve the monitoring of Coastal Debris in the South Korea, which is difficult to estimate due to limited resources and vertex-based surveys, an approach based on UAV(Unmanned Aerial Vehicle) images and the RT-DETR(Realtime DEtection TRansformer) model was proposed for detecting Coastal Debris. By comparing to field investigation, the study suggested the possibility of quantitatively detecting coastal garbage and estimating the total capacity of garbage deposited on the natural coastline of the South Korea. The RT-DETR model achieved an accuracy of 0.894 for mAP@0.5 and 0.693 for mAP@0.5:0.95 in training. When applied to unmanaged coasts, the accuracy for the total number of coastal debris items was 72.9%. It is anticipated that if guidelines for defining monitoring of unmanaged coasts are established alongside this research, it should be possible to estimate the total capacity of the deposited coastal debris in the South Korea.

• Korean Journal of Remote Sensing
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• v.40 no.2
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• pp.151-166
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• 2024

Coastal debris presents a significant environmental threat globally. This research sought to improve the monitoring methods for coastal debris by employing deep learning and remote sensing technologies. To achieve this, an object detection approach utilizing the You Only Look Once (YOLO)v8 model was implemented to develop a comprehensive image dataset for 11 primary types of coastal debris in our country, proposing a protocol for the real-time detection and analysis of debris. Drone imagery was collected over Sinja Island, situated at the estuary of the Nakdong River, and analyzed using our custom YOLOv8-based analysis program to identify type-specific hotspots of coastal debris. The deployment of these mapping and analysis methodologies is anticipated to be effectively utilized in managing coastal debris.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1109-1124
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• 2022

This study proposes a marine debris monitoring methods using satellite and drone multispectral images. A multi-layer perceptron (MLP) model was applied to detect marine debris using Sentinel-2 satellite image. And for the detection of marine debris using drone multispectral images, performance evaluation and comparison of U-Net, DeepLabv3+ (ResNet50) and DeepLabv3+ (Inceptionv3) among deep learning models were performed (mIoU 0.68). As a result of marine debris detection using satellite image, the F1-Score was 0.97. Marine debris detection using drone multispectral images was performed on vegetative debris and plastics. As a result of detection, when DeepLabv3+ (Inceptionv3) was used, the most model accuracy, mean intersection over union (mIoU), was 0.68. Vegetative debris showed an F1-Score of 0.93 and IoU of 0.86, while plastics showed low performance with an F1-Score of 0.5 and IoU of 0.33. However, the F1-Score of the spectral index applied to generate plastic mask images was 0.81, which was higher than the plastics detection performance of DeepLabv3+ (Inceptionv3), and it was confirmed that plastics monitoring using the spectral index was possible. The marine debris monitoring technique proposed in this study can be used to establish a plan for marine debris collection and treatment as well as to provide quantitative data on marine debris generation.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.99-114
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• 2024

Domestic coastal debris monitoring encounters challenges due to labor-intensive methods and limited survey scope. Consequently, research is utilizing remote sensing techniques to enhance efficiency in data collection. However, standards for domestic remote sensing based monitoring methods remain insufficient. In this study, we conducted a meta-analysis of 19 coastal debris monitoring studies utilizing drones and other remote sensing devices. We analyzed data collection methods, collected data information, monitoring target details, monitoring status, detection targets, and utilization models. Based on our meta-analysis results, we proposed monitoring criteria, recommended items, and performance standards for monitoring coastal debris using drones. Our findings define necessary conditions and standards for establishing operational guidelines for coastal debris monitoring using drones. Furthermore, we anticipate that incorporating foreign case analyses and field application results will enable the development of national-level guidelines for coastal debris monitoring utilizing remote sensing devices.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2003.11b
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• pp.77-81
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• 2003

1)일본에서 해안림은 강풍, 비사로부터 경작지를 보호하기 위해 조성되었고. 그의 기능은 해안방풍림.입회림 $\rightarrow$레크레이션임 $\rightarrow$생활환경림으로 변화하고 있다. 그리고 관리문제는 초기 입회의 권리문제로부터 이용의 제어문제로, 그리고 최근에는 쓰레기, 방화, 청소년범죄 등의 사회문제로, 그의 중심이 이동하고 있다. 2)이러한 입회적 이용과 해안흑송림의 식생변화(광엽수화)와는 그의 관련성이 높다는 의문이 제기되어온 것에 있으나, 본 연구를 통해 입회적 이용이 소멸(부영양화)되는 것에 따라 해안흑송림의 천이가 발생되고 있는 것이 입증된다. 3)그리고, 현재 문제시되고 있는 쓰레기, 화제, 범죄 등의 관리문제는 이러한 식생변화와 매우 큰 관련성(밀폐된 산림구조에서 관리문제가 큼)을 갖고 있는 것으로 나타난다. 4)이상에서 보면, 전체적으로는 해안흑송림의 변용에는, 이용의 변화가 산림의 식생변화를 부르고, 다시 이러한 밀폐된 산림구조가 새로운 관리문제(쓰레기. 범죄, 방화 등)를 발생시키는 메커니즘이 자리 잡고 있는 것을 알 수 있다.

• Proceedings of KOSOMES biannual meeting
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• 2007.11a
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• pp.15-21
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• 2007

Using field observations, this study estimated the total weight and types of marine debris along the coast of Jinu Island in the Nakdong River Estuary after typhoons Usagi and Nari had passed. A numerical wave m며el was used to calculate the spatial wave height distribution at the time of the typhoons' passage. This study found that the total accumulation of marine debris deposited on the coast after the two typhoons had passed was about $5,769.86kg/day/km^2$ at this sitε which was 14.42 times more than during normal weather. The wave height distribution in the sea off Jinu Island, based on numerical modeling， was $4.1^{\sim}3.5$ m, which was 1.0-2.5 times greater than for the case of other islands. Therefore, it is likely that the concentration of wave energy led to the deposition of marine debris.

• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.4
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• pp.1-7
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• 2007

Using field observations, this study estimated the total weight and types of marine debris along the coast of Jinu Island in the Nakdong River Estuary after typhoons Usagi and Nari had passed. A numerical wave model was used to calculate the spatial wave height distribution at the time of the typhoons' passage. This study found that the total accumulation rate of marine debris deposited on the coast after the two typhoons had passed was about $5,769.86\;kg/km^2/day$ at this site, which was 14.42 times as high as that in normal weather. The wave height distribution in the sea off Jinu Island, based on numerical modeling, was $4.1{\sim}3.5\;m$, which was 1.0-2.5 times greater than for the case of other islands. Therefore, it is likely that the concentration of wave energy led to the deposition of marine debris.

• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.4
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• pp.9-14
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• 2007

This study reviewed the behavior(movement) characteristics of floating marine debris flowing in the Nakdong River Estuary using a simple numerical particle-tracking model on the conditions of the maximum water discharge outflow from the Nakdong River barrage during the passage of typhoon Maemi in 2003. The simulation showed that the particle distribution and movement of floating marine debris in the Nakdong River Estuary reached a stable state at 72 hours after the typhoon had passed, during the flood period of river discharge. The quantity of floating particles distributed on the east coast of Gadeok and Jinu Islands increased by 40% at 33 hours after starting the model, while the change in other sea areas was 20-40%.

• Proceedings of KOSOMES biannual meeting
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• 2007.11a
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• pp.23-28
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• 2007

This study estimated the behavior(movement) characteristics of floating marine debris flowing in the Nakdong River Estuary using a simple numerical particle-tracking model. This numerical experiment considered the maximum water discharge outflow from the Nakdong River barrage during the passage of typhoon Maemi in 2003. The simulation showed that the particle distribution and movement of floating marine debris in the Nakdong River Estuary reached a stable state at 72 hours after the typhoon had passed, during the flαxl period of river discharge. The quantity of floating particles distributed on the east coast of Gadeok and Jinu Islands increased by 40% at 33 hours after starting the model, while the change in other sea areas was $20{\sim}40%$.