• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.403-419
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• 2017

This study analyzed the forces to drive the change of urban green spaces in Daegu from 1989 to 2009. First, the loss and fragmentation of green spaces in the past 20 years were spatially identified by performing the hot spots analysis for the cell-based spatial metrics quantifying the size and diversity of green spaces. Next, seven drivers such as slope, distance to roads, land price, population density, ratios of residential, commercial, and industrial areas were selected based on the previous studies and the direction of the association between the loss and fragmentation of green spaces and seven drivers was analyzed with the stepwise logistic regression. Finally, the relative importance of the seven drivers and their interactions in the past 20 years were analyzed with the geographical detector. The results show that the loss of green spaces was concentrated on a part of the Anshim housing development district from 1989 to 2009 and green spaces were highly fragmented around the housing development districts such as Seongseo, Anshim, Dalseong-gun and Chilgok. The forces to drive the loss and fragmentation of green spaces in these areas were different at the administrative levels, but the drivers such as slope and ratios of residential and industrial areas were commonly significant. These drivers were positively correlated with largest patch index(LPI) quantifying the loss of green spaces while they were negatively correlated with Shannon's diversity index(SHDI) measuring the fragmentation of green spaces. In other words, the loss and fragmentation of urban green spaces in Daegu appeared around such regions with lower slope and lower ratios of residential and industrial areas. The relative importance of drivers for LPI was listed as ratio of industrial area, land price, and ratio of commercial area in descending order whereas that of drivers for SHDI was listed as ratio of industrial area, land price, and distance to roads in descending order. Also, the interaction between slope and ratio of residential area had a great impact on LPI and SHDI. The ratio of industrial area was a single driver to most significantly explain the loss and fragmentation of urban green spaces in Daegu in the past 20 years. The interaction between slope and ratio of residential area was greater than the independent influence of a single driver. This study will provide the base data to build a sustainable urban green policy for the city of Daegu in the near future.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.35 no.2
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• pp.58-68
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• 2017

The conclusion of this research after analyzing and interpreting the landscape structure and meaning of Yeongsajeongpalkyung (永思亭八景) that appears in Yeongsajeongpalyeongsi(永思亭八詠詩) of Cheonggye(靑溪) Yang, Dae-bak(梁大樸, 1544~1592) and through document studies, poetry and painting analysis and interpretation, and site investigation, is as follows. Yeongsajeong and its nearby lands are the area of "Yeongsa", where the builder, Ahn, Jeon(安?, 1518~1571) worshipped towards the grave of ancestors, and Yeongsajeongpalkyung oversees a family burial ground in Namwon, centering around Yeongsajeong such as Yocheon, Geumseokgyo and Cheonggyedong, and Sunjagang River and Mountain Jiri, which are the foot hold and key points of advantageous scenic views in Namwon. Yeongsajeongpalkyung, unlike general Jeongjapalkyung, shows a panoramic bird's-eye structure overseeing the landscape and scenery of the Yocheon area and Sunjagang River, in addition to Yeongsajeong, while show in a transition of location, a multi-view structure and time. The trace of visual unity with Sosangpalkyung of China can be seen in many places in Yeongsajeongpalkyung, which seems to be a transitional feature of composing poems regarding Palgyeong during the mid-Joseon dynasty, which pursues harmony with the local landscape of the Namwon area. The 'Changsongchwijuk(蒼松翠竹)' appearing in each of the first and second scenic views of Palgyeong and Yeongsajeongpalyeong can be understood as an incarnation of Yang, Dae-bak, the author of Palyeongsi or Ahn, Jeon, the builder of Yeongsajeong. On the other hand, as a result of interpreting the yin-yang features of poetic diction and picture elements appearing in the subtitle of Yeongsajeongpalyeong, Palyeongsi seems mostly full of yin-like elements and Palgyeongdo. Moreover, as a result of comparing and analyzing the acts expressed in and acts described in Yeongsajeongpalyeong, based on the fact that the reis almost no common ground between the two media except for Soongangmowoo, the third scenic view, the formal similarity between the two media can be acknowledged, however, it is difficult to discover any substantive 'integrity of poetry and painting'.

• Journal of Korean Classical Literature and Education
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• no.37
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• pp.253-281
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• 2018

The purpose of this paper is to analyze the meaning of of "Nikolai Garin - Mikhailovsky's the "Joseon tale". talks about the origins of the Joseon Dynasty and the Qing Dynasty. In this paper, we revealed the features of the form of "Otter Legend". And analyzed the confrontation between Nurhachi's family and Yi Seong-gye's family shown in the story. The result is as follows. is complex tale. The start of is 'the typr of Yaraeja'. Next is the story of Myoung-Dang. Myoung-Dang is deep in the water. also has anecdotes of Jeong, Chung-shin. rearranged at least three stories or more. transformed each type of stories, communing the different patterns of stories with different logic. The basic logic of the transformation was to maximize the confrontation between the NuruhachI and Yi Seong-gye clans, the origins of Manchuria and the Chosun Dynasty. As a result, the sacredness of Nurhachi's Family, the origin of the Qing Dynasty, was expanded. On the other hand, Yi Seong-gye s Family was less extraordinary than Nurhachi's Family. Also, the ability of the person is also inferior. This is not the yearning for the Qing Dynasty. This is because the Qing Dynasty and the Joseon have the same pedigree. shows that the Qing Dynasty's experiences should be shared since the Qing Dynasty was born of another clan of Joseon. This is a new perception of Qing Dynasty. This is similar to the interpretation that dragged the Qing Dynasty's history into the Joseon's ethnographic historical point of view.

• Economic and Environmental Geology
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• v.55 no.5
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• pp.551-561
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• 2022

Geophysical exploration methods are very useful for generating high-resolution images of underground structures, and such methods can be applied to investigation of buried cultural properties and for determining their exact locations. In this study, image feature extraction and image segmentation methods were applied to automatically distinguish the structures of buried relics from the high-resolution ground-penetrating radar (GPR) images obtained at the center of Silla Kingdom, Gyeongju, South Korea. The major purpose for image feature extraction analyses is identifying the circular features from building remains and the linear features from ancient roads and fences. Feature extraction is implemented by applying the Canny edge detection and Hough transform algorithms. We applied the Hough transforms to the edge image resulted from the Canny algorithm in order to determine the locations the target features. However, the Hough transform requires different parameter settings for each survey sector. As for image segmentation, we applied the connected element labeling algorithm and object-based image analysis using Orfeo Toolbox (OTB) in QGIS. The connected components labeled image shows the signals associated with the target buried relics are effectively connected and labeled. However, we often find multiple labels are assigned to a single structure on the given GPR data. Object-based image analysis was conducted by using a Large-Scale Mean-Shift (LSMS) image segmentation. In this analysis, a vector layer containing pixel values for each segmented polygon was estimated first and then used to build a train-validation dataset by assigning the polygons to one class associated with the buried relics and another class for the background field. With the Random Forest Classifier, we find that the polygons on the LSMS image segmentation layer can be successfully classified into the polygons of the buried relics and those of the background. Thus, we propose that these automatic classification methods applied to the GPR images of buried cultural heritage in this study can be useful to obtain consistent analyses results for planning excavation processes.

• Korean Journal of Remote Sensing
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• v.39 no.6_2
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• pp.1615-1633
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• 2023

Sargassum horneri is one of the floating algae in the sea, which breeds in large quantities in the Yellow Sea and East China Sea and then flows into the coast of Republic of Korea, causing various problems such as destroying the environment and damaging fish farms. In order to effectively prevent damage and preserve the coastal environment, the development of Sargassum horneri detection algorithms using satellite-based remote sensing technology has been actively developed. However, incorrect detection information causes an increase in the moving distance of ships collecting Sargassum horneri and confusion in the response of related local governments or institutions,so it is very important to minimize false detections when producing Sargassum horneri spatial information. This study applied technology to automatically remove false detection results using the GOCI-II-based Sargassum horneri detection algorithm of the National Ocean Satellite Center (NOSC) of the Korea Hydrographic and Oceanography Agency (KHOA). Based on the results of analyzing the causes of major false detection results, it includes a process of removing linear and sporadic false detections and green algae that occurs in large quantities along the coast of China in spring and summer by considering them as false detections. The technology to automatically remove false detection was applied to the dates when Sargassum horneri occurred from February 24 to June 25, 2022. Visual assessment results were generated using mid-resolution satellite images, qualitative and quantitative evaluations were performed. Linear false detection results were completely removed, and most of the sporadic and green algae false detection results that affected the distribution were removed. Even after the automatic false detection removal process, it was possible to confirm the distribution area of Sargassum horneri compared to the visual assessment results, and the accuracy and precision calculated using the binary classification model averaged 97.73% and 95.4%, respectively. Recall value was very low at 29.03%, which is presumed to be due to the effect of Sargassum horneri movement due to the observation time discrepancy between GOCI-II and mid-resolution satellite images, differences in spatial resolution, location deviation by orthocorrection, and cloud masking. The results of this study's removal of false detections of Sargassum horneri can determine the spatial distribution status in near real-time, but there are limitations in accurately estimating biomass. Therefore, continuous research on upgrading the Sargassum horneri monitoring system must be conducted to use it as data for establishing future Sargassum horneri response plans.