• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.3-6
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• 2009

본 연구에서는 경주시 내남면 일대를 대상으로 KOMPSAT MSC(Multi Spectral Camera) 영상(2007.06.12)을 이용하여 TCT(Tasseled-Cap Transformation), NDVI(Normalized Difference Vegetation Index) 알고리즘을 적용하여 분포도를 작성 하였으며 TCT DN 값을 기초로 영상 강조 및 변환을 통한 임상분류에 적합한 밴드 추출과 NDVI 분포도에서의 DN값을 기초로 산림현장 조사 결과에서 취득된 결과와의 비교 분석을 통하여 알고리즘에 대한 임상분류에 있어서의 변별력 분석을 수행하였다. 본 연구를 통하여 KOMPSAT MSC 영상에서의 임상분류를 위한 식생 알고리즘 적용 가능성을 검토하고자 한다.

• Korean Journal of Environment and Ecology
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• v.37 no.4
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• pp.235-250
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• 2023

This study was carried out to identify the vascular flora of Mt. Bonghwa in the Baekdudaegan Mountain range, located on the border between Namwon City and Jangsu Country in Jeollabuk Province and Hamyang Country in Gyeongsangnam Province and use them as basic data for the conservation of plant diversity and prevention of the spread of alien plants. Specimens deposited at the Herbarium of Korea National Arboretum (KH) were reexamined, and 15 field surveys were conducted from April 2020 to July 2023. The result revealed a total of 466 taxa, consisting of 97 families, 279 genera, 409 species, 16 subspecies, 32 varieties and 9 forms, Of which, eight taxa were endemic plants, and one taxon, Aconitum coreanum (H.Lév.), belonged to the vulnerable (VU) on the national red list species. Moreover, there were 57 floristic target species, including 1 taxon of grade V, 9 taxa of grade III, 14 taxa of grade II, and 33 taxa of grade I, whereas there were 24 taxa of alien plants and 1 taxon of ecosystem disturbance species. In the usefulness survey, 353 taxa were for food, 3 for textiles, 71 for medicinal use, 21 for ornamental use, 108 for pasture use, 2 for industrial use, 7 for miscellaneous use, and 11 for timber plants.

• Journal of agriculture & life science
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• v.46 no.4
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• pp.21-30
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• 2012

The objective of this study was to comprehend inter-species association and factors affecting species composition by factor analysis and to classify forest types of natural forests in Dootasan. We examined the correlation (positive or negative) of the major species by correlation analysis, the selection of three factors affecting the species composition by factor analysis, cluster analysis on the basis of factor scores, and the evaluation of the results of forest type classification by ANOVA. The outputs of correlation analysis were closely associated with those of factor analysis. The first factor affecting species composition was found to be the decline phenomenon of Pinus densiflora during forest succession process. The second and third factors were growth environments in valley and slope, respectively. The cluster analysis was carried out based on three factors affecting the species composition. The results indicated that the study area was classified into four forest types as follows: Quercus mogolica-Acer mono-Fraxinus rhynchophylla community, Q. mongolica community, Q. mongolica-Tilia amunrensis community and Pinus densiflora community. The dominant species of each community in the four classified forest types were significantly different (p<0.05).

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.6
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• pp.641-650
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• 2011

Airborne LIDAR system, utilized in various forest studies, provides efficiently spatial information about vertical structures of forest areas. The tree height is one of the most essential measurements to derive forest information such as biomass, which can be estimated from the forest terrain model. As the terrain model is generated by the interpolation of ground points extracted from LIDAR data, filtering methods with high reliability to classify reliably the ground points are required. In this paper, we applied three representative filtering methods to forest LIDAR data with diverse characteristics, measured the errors and performance of these methods, and analyzed the causes of the errors. Based on their complementary characteristics derived from the analysis results, we have attempted to combine the results and checked the performance improvement. In most test areas, the convergence method showed the satisfactory results, where the filtering performance were improved more than 10% in maximum. Also, we have generated DTM using the classified ground points and compared with the verification data. The DTM retains about 17cm RMSE, which can be sufficiently utilized for the derivation of forest information.

• Journal of Korean Society of Forest Science
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• v.100 no.4
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• pp.540-547
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• 2011

This study was conducted to compare classification accuracy by tree species using QuickBird imagery for pixel- and segment-based classifications that have been mostly applied to classify land covers. A total of 398 points was used as training and reference data. Based on this points, the points were classified into fourteen land cover classes: four coniferous and seven deciduous tree species in forest classes, and three non-forested classes. In pixel-based classification, three images obtained by using raw spectral values, three tasseled indices, and three components from principal component analysis were produced. For the both classification processes, the maximum likelihood method was applied. In the pixel-based classification, it was resulted that the classification accuracy with raw spectral values was better than those by the other band combinations. As resulted that, the segment-based classification with a scale factor of 50% provided the most accurate classification (overall accuracy:76% and ${\hat{k}}$ value:0.74) compared to the other scale factors and pixel-based classification.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1273-1283
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• 2022

Recently, forest fires have frequently occurred due to climate change, leading to human and property damage every year. The forest fire monitoring technique using remote sensing can obtain quick and large-scale information of fire-damaged areas. In this study, the Gangneung and Donghae forest fires that occurred in March 2022 were analyzed using the spectral band of Sentinel-2, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI) to classify the affected areas of forest fires. The U-net based convolutional neural networks (CNNs) model was simulated for the fire-damaged areas. The accuracy of forest fire classification in Donghae and Gangneung classification was high at 97.3% (f₁=0.486, IoU=0.946). The same model used in Donghae and Gangneung was applied to Uljin and Samcheok areas to get rid of the possibility of overfitting often happen in machine learning. As a result, the portion of overlap with the forest fire damage area reported by the National Institute of Forest Science (NIFoS) was 74.4%, confirming a high level of accuracy even considering the uncertainty of the model. This study suggests that it is possible to quantitatively evaluate the classification of forest fire-damaged area using a spectral band and indices similar to that of the Compact Advanced Satellite 500 (CAS500-4) in the Sentinel-2.

• Journal of agriculture & life science
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• v.46 no.5
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• pp.11-23
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• 2012

This study was conducted to investigate the distribution of vascular plants in five islands of Jisimdo, Naedo, Yoondoldo, Songdo and Galdo in East Hallyeohaesang National Park. The Islands were surveyed from 2010 to 2011. The flora was classified to as: Jisimdo, 246 taxa; 85 families, 195 genus, 219 species, 3 subspecies, 24 varieties and 2 forma. Naedo, 143 taxa; 72 families, 127 genus, 131 species, 12 varieties. Yoondoldo, 84 taxa; 56 families, 73 genus, 219 species, 1 subspecies, 10 varieties. Songdo, 70 taxa; 33 families, 63 genus, 64 species, 6 varieties and Galdo, 93 taxa; 47 families, 84 genus, 84 species, 1 subspecies, 7 varieties, and 1 forma. Thus, a total of 380 taxa; 105 families, 272 genus, 334 species, 3 subspecies, 39 varieties and 4 forma were observed. A total of 8 and 6 taxa were found to be rare plants in surveyed areas and endemic to Korea, respectively. Distribution of floristic special plants in the surveyed area was divided into five classes (class I-V), 42 taxa; were in class I, 1 taxa; was in class II, 25 taxa; were in class III, 4 taxa; were in class IV and 4 taxa; were in class V. Total floristic special plants were 76 taxa.

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.369-392
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• 2021

This study aimed to provide basic data for efficient flora management of vascular plants, halophytes, and naturalized plants in the Gwangpo Bay area in Sacheon city, Gyeongsangnam-do. The flora found in this area incorporated 520 taxa, including 93 families, 299 genera, 466 species, 3 subspecies, 41 varieties, and 10 forma, and accounted for approximately 10.6% of total vascular plants (4,884 species) in Korea. According to the survey, 76 species of Gramineae showed the highest frequency (14.6%), followed by 67 species of Compositae (12.8%), 34 species of Leguminosae (6.5%), 27 species of Cyperaceae (5.2%), and 22 species of Rosaceae (4.2%). Rare plant species designated by the Korea Forest Service were categorized into six taxa, including three taxa in the LC grade, one taxon in the CR grade, one taxon in the VU grade, and one taxon in the EN grade. Korea endemic plants belonged to nine taxa consisting of seven families, seven genera, and nine species. The special floristic plants included 44 taxa, including one taxon (Prunus yedoensis) in the V grade, four taxa in the IV grade, ten taxa in the III grade, six taxa in the II grade, and 23 taxa in the I grade. Naturalized plants included 62 taxa consisting of 15 families, 47 genera, 59 species and 3 varieties. Halophytes consisted of 27 taxa, including 13 families, 24 genera, 24 species, 2 varieties, 1 forma, which consisted of Atriplex gmelinii, Suaeda glauca, Suaeda maritima, and Lathyrus japonicus. Invasive alien species in the Gwangpo Bay area included seven taxa. Since Ambrosia artemisiifolia, Sicyos angulatus, andPaspalum distichum var. indutummay have harmful effects on native plants, these plants must be artificially controlled.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.322-322
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• 2011

지표에서의 토양수분은 작은 구성비를 가짐에도 불구하고 여러 수문 현상을 연계하는 매우 중요한 인자로써 최근 연구가 활발하게 진행되고 있다. 토양수분은 침투나 침루를 통하여 강우와 지하수를 연결하는 기능을 함과 동시에 강우사상에 따른 유출특성에 직접적인 영향을 미치며 증발산을 통하여 에너지 순환을 연결하는 기능을 하는 인자로 기후변화와 인간의 활동에 의해 영향을 받는다. 지난 수십 년간 산림개간과 도시화는 토지이용의 변화를 초래하여 토지피복의 변화를 초래하였다. 도시화는 불투수층을 증가시켰고, 산림개간으로 산림이 농장으로 변하여 침투율을 감소시켜 유출률의 증가를 초래하였다. 이처럼 토지피복의 변화는 토양수분의 변화에 직접적인 영향을 미친다. 본 연구에서는 토지피복 분류를 위해 구름의 영향이 적은 Landsat TM 영상을 사용하여 청미천 유역의 토지피복을 분류하여 토지피복도를 작성하였다. 청미천 유역은 현재 국제수문관측사업(IHP)의 일환으로 체계적인 수문관측이 진행되고 있는 지점으로, 추후 인공위성 영상을 통해 산정한 토양수분 자료를 비교할 수 있는 유역이다. Landsat TM 영상은 2009년 5월 23일에 관측된 115-34(path row) 영상으로 구름이 거의 없는 날의 자료를 사용하였다. 다중 스펙트럴 위성영상인 Landsat TM 영상은 30m 공간해상도로써 토지피복분류와 식생 등의 정보를 추출하는데 적합한 것으로 알려져 있다. 청미천 유역의 위성영상에 대하여 영상의 전처리 과정을 거쳐 무감독분류와 감독분류기법을 적용하여 토지피복을 분류하였다. 분류한 토지피복도는 국토해양부에서 국가수자원관리 종합정보시스템(WAMIS) 을 통하여 제공되는 토지피복도와 비교하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.4
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• pp.113-126
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• 2021

This study was conducted to analyze the forest status and deforestation area changes of the DMZ region in North Korea based on satellite images. Using growing and non-growing season's RapidEye satellite images, land cover of the North Korean DMZ was classified into stocking land(conifer, deciduous, mixed), deforested land(unstocked mountain, cultivated mountain, bare mountain), and non-forest areas. Deforestation rates in the Yeonan-baecheon, Beopdong-Pyeonggang, Heoyang-Geumgang and Tongcheon-Goseong district were calculated as 14.24%, 16.75%, 5.98%, and 16.63% respectively. Forest fire and land use change of forest were considered as the main causes of deforestation of DMZ. Changes in deforestation area were analyzed through Google Earth images. As a results, it was shown that the area of deforestation was on a decreasing trend. This study can be used as basic data for establishing inter-Korean border region's forest cooperation strategies by providing forest spatial information on the North Korea's DMZ.