• Korean Journal of Environment and Ecology
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• v.38 no.1
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• pp.1-21
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• 2024

This study conducted surveys to identify the distribution of communities and flora according to vegetation in the coastal sand dunes of Sagye in Jeju Special Self-Governing Province, located at the southernmost tip of Korea. The survey was conducted over 20 sessions from April 2020 to October 2021. As a result of the study, physiognomy was classified into six correlated vegetation types: plant communities on the salt marsh, annual communities on a coastal drift-line, herb communities on a dune, shrub communities on a coastal dune, forest-edge communities on a dune, and artificial afforestation vegetation. The survey identified 43 communities, and a total of 212 taxa were found to be distributed among 62 families, 166 genera, 191 species, 15 varieties, 3 subspecies, and 3 forma. It was found that there were five rare plant taxa distributed in the area, including the Cymbidium macrorrhizum which was classified as an endangered Class II plant by the Ministry of Environment. Floristic target species identified by the surveys included 2 taxa for grade V, 5 taxa for grade IV, 15 taxa for grade III, 14 taxa for grade II, and 19 taxa for grade I. Climate-sensitive biological indicator species included 11 indicator and 2 candidate species, representing a high ratio of 33.3% of all indicator species and 15.4% of candidate species. Naturalized plants included 16 families, 43 genera, and 52 taxa, with a naturalization rate of 21.1% and an urbanization index of 24.5%. It is expected that these results will be widely used as data needed to prepare conservation and management measures for biodiversity in response to climate change in coastal dunes in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.52-67
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• 2020

Recently, the Arctic has been exposed to snow-covered land due to melting permafrost every year, and the Korea Geographic Information Institute(NGII) provides polar spatial information service by establishing spatial information of the polar region. However, there is a lack of spatial information on vegetation sensitive to climate change. This research used a multi-temporal Sentinel-2 image to perform land cover classification of the Ny-Ålesund in Arctic Svalbard. In the pre-processing step, 10 bands and 6 vegetation spectral index were generated from multi-temporal Sentinel-2 images. In image-classification step is consisted of extracting the vegetation area through 8-class land cover classification and performing the vegetation species classification. The image classification algorithm used Random Forest to evaluate the accuracy and calculate feature importance through Out-Of-Bag(OOB). To identify the advantages of multi- temporary Sentinel-2 for vegetation classification, the overall accuracy was compared according to the number of images stacked and vegetation spectral index. Overall accuracy was 77% when using single-time Sentinel-2 images, but improved to 81% when using multi-time Sentinel-2 images. In addition, the overall accuracy improved to about 83% in learning when the vegetation index was used additionally. The most important spectral variables to distinguish between vegetation classes are located in the Red, Green, and short wave infrared-1(SWIR1). This research can be used as a basic study that optimizes input characteristics in performing the classification of vegetation in the polar regions.

• Korean Journal of Ecology and Environment
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• v.50 no.3
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• pp.295-304
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• 2017

The Ramsar protected area in Ungok wetland, which has been designated since 2011, was described by syntaxonomy and synchorology. Phytocoenon was identified and named by a traditional method of the $Z{\ddot{u}}rich$-Montpellier School and Code of Phytosociological Nomenclature. Habitat-based vegetation classification has identified into twelve syntaxa consisting of 88 taxa in seven vegetation types: Juncus effusus var. decipiens-Salix koreensis community, Caricis-Salicetum subfragilis, Galium spurium var. echinospermon-Phragmites japonica community, Phragmitetum australis, Scirpetum fluviatilis, Leersia japonica-Typha angustifolia community, Juncus diastrophanthus-Juncus effusus var. decipiens community, Leersicetum japonicae, Nymphoido indicae-Trapetum japonicae (typicum, marsiletosum quadrifoliae subass. nova hoc loco, variante Euryale ferox), Nelumbo nucifera community, Utricularia tenuicaulis community, Potamogetonetum crispi. Actual vegetation map was made by using topographical map of scale 1 : 5,000. Habitat-based management on the Ungok wetland vegetation was required, in which there are composed of two major areas such as the back-swamp vegetation and the limnetic vegetation zone.

• Korean Journal of Environment and Ecology
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• v.21 no.4
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• pp.356-365
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• 2007

This study was conducted to evaluate the changed vegetational community structure according to vegetational succession in Chiaksan National Park of Korea by applying ordination and classification method of floristic composition along with the actual vegetation by correlation. As for the ratio of actual vegetation, Mongolian oak forest(33.1%) was the highest, followed by mixed forest(16.2%), Japanese larch forest(15.6%), deciduous broad-leaved forest(14.7%), red pine forest(11.1%), Korean pine forest(2.3%) and Pitch pine forest(0.1%), respectively. The vegetation was classified into Acer pseudosieboidianum-Quercus mongolica community, Cornus controversa-Carpinus cordata community, Quercus sonata community, Pinus densiflora community and afforestation. The Acer pseudosieboldianum-Quercus mongolica community-a subordinately ranked community-was divided into Carpinus laxiflora-Sassa borealis community, Fraxinus rhynchophylla community and Symplocos chinensis for. pilosa-Carex siderosticta community. The results of community classification using by ordination and classification method of floristic composition were similar to each other. The vegetational succession, with the combination of Quercus mongolica, Acer pseudosieboldianum and Rhododendron schlippenbachii, was predicted to form a climax forest from above the hillside.

• Korean Journal of Environment and Ecology
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• v.14 no.1
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• pp.57-66
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• 2000

본 연구는 울릉도의 성인봉과 태하령지역의 산림식생을 분류하기 위해 199년 7-8월에 36개소를 선정하여 식생조사를 실시하였으며 식물사회학적 방법과 TWINSPAN에 의하여 군락을 분류하였다 울릉도 산림의 종조성표에 의한 군락 분류결과 너도밤나무-섬노루귀 군락군으로 판명되었다 이 군락군은 다시 솔송나무-섬잣나무 군락, 참나도히초미-졸방제비꽃군락으로 크게 나뉘어졌으며 참나도히초미-졸방제비꽃군락은 다시 전형하위군락. 섬조릿대하위군락 일색고사리하위군락으로구분되었다 TWINSPAN에 의한 분류결과는 솔송나무-섬작나무군락 너도밤나무-섬조릭대군락 너도밤나무-일색고사리군락, 너도밤나무-큰두루미꽃군락으로 구분되었다 식물사회학적 군락 분류결과와 TWINSPAN에 의한 군락분류결과는 4개 군락으로 구분되는 일치성을 보이고 있어 두 방법에 의한 군락 분류방법은 상호 보완될수 있다고 판단된다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.04a
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• pp.49-49
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• 2018

본 연구는 함백산 산림유전자원보호구역의 생물다양성 증진과 체계적이고 객관적인 보전 및 관리를 위한 기초데이타 수립을 위하여 식물상과 정밀식생조사를 수행하였다. 함백산 산림유존자원보호구역에 분포하는 식물상은 83과 222속 321종 2아종 36변종 등 359분류군이 확인되었으며, 희귀 및 멸종위기식물은 산마늘, 등칡 등 총 10과 14분류군이 확인되었다. 식물구계학적 3등급 종은 15과 20분류군, 4등 급종은 8과 11분류군이 확인되었다. 산림청 특별산림보호 대상종은 3과 3분류군, 한국특산식물은 7과 10분류군이 확인되었으며 귀화식물은 9과 16분류군이 출현하였다. 함백산 산림유전자원보호구역 26개 조사구역에 대하여 정밀식생조사를 수행한 결과. 식생유형은 산지관목림, 일본잎갈나무식재림, 가래나무군락, 거제수나무군락, 거제수나무-신갈나무군락, 거제수나무-층층나무군락, 거제수나무-피나무군락, 소나무군락, 신갈나무군락, 피나무군락, 피나무-거제수나무군락 등 총 11개의 유형으로 확인되었다. 또한 식생조사와 드론을 활용하여 현존식생도를 작성하였으며, 그 결과 함백산 유전자원보호구역은 총 470.9ha로, 그 중 신갈나무군락이 총 390.8ha로 가장 넓게 분포하고 있으며, 거제수나무-신갈나무군락이 34.3ha, 산지관목림 18.5ha 순으로 대부분 10ha 이하로 나타났다.

• Journal of Korean Society of Forest Science
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• v.83 no.4
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• pp.441-449
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• 1994

The two reflective channels(red and near infrared spectrum) of advanced very high resolution radiometer(AVHRR) data were used to classify primary vegetation cover types in the Korean Peninsula. From the NOAA-11 satellite data archive of 1991, 27 daytime scenes of relatively minimum cloud coverage were obtained. After the initial radiometric calibration, normalized difference vegetation index(NDVI) was calculated for each of the 27 data sets. Four or five daily NDVI data were then overlaid for each of the six months starting from February to November and the maximum value of NDVI was retained for every pixel location to make a monthly composite. The six bands of monthly NDVI composite were nearly cloud free and used for the computer classification of vegetation cover. Based on the temporal signatures of different vegetation cover types, which were generated by an unsupervised block clustering algorithm, every pixel was classified into one of the six cover type categories. The classification result was evaluated by both qualitative interpretation and quantitative comparison with existing forest statistics. Considering frequent data acquisition, low data cost and volume, and large area coverage, it is believed that AVHRR data are effective for vegetation cover type mapping at regional scale.

• Journal of the Korean Geographical Society
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• v.35 no.1
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• pp.39-51
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• 2000

본 연구는 원격탐사 기법을 이용하여 북한 지역을 포함한 한반도 전지역을 대상으로 식생활력도(vegetation activity)의 시계열적 변화를 모니터링하고, 식생지수의 연중변화 특성을 이용하여 한반도의 식생 분포도를 작성하는데 그 목적이 있다. 1997년 4월부터 11월까지 8개월 동안 NOAA-14 위성에서 수신된 AVHRR 자료를 수집하여 정규 식생지수(Nomalized Difference Vegetation Index)를 구하고 이들을 MVC(Maximum Value Composite) 방법으로 조합하여 월별 NDVI 합성도를 작성하여 식생활력도의 시계열 변화를 고찰하였다. 또한 식물의 생장시기인 5월부터 10월까지의 NDVI를 무감독 분류하여 한반도의 식생분포 유형을 도시.나대지가 4.49%, 초지 4.49%, 경작지 27.54%, 활엽수림 25.61%, 침엽수림 38.22%로 나타났다.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.275-279
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• 2009

식생지수(Vegetation Index, 이하 VI)는 위성영상의 각 밴드가 식생에 대해 나타내는 특징적 반사치를 이용하여 지피의 식생 유무와 상태를 표현하고 정량화(Quantification)가 가능하다. 본 연구는 개엽(aestivation) 전 주사된 광릉시험림 지역의 QuickBird 위성영상과 임소반도를 이용하여 수목분류간 VI의 비교를 목적으로 삼는다. VI는 식생 및 토양의 특성에 따라 많은 영향을 받게 되며 이러한 영향의 최소화를 통해서만 정확한 평가자료를 얻을 수 있기 때문에 토양부분을 제외한 수목과 상관관계가 높은 VI를 연구에 사용하였다. 그 결과 침엽수로 조림된 단순림(單純林)간의 분류는 용이하지 않았지만 개엽 전 낙엽송과 활엽수간의 분류체계에는 효과적임을 입증할 수 있었다.

• Korean Journal of Environment and Ecology
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• v.24 no.6
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• pp.630-637
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• 2010

This study was carried out to classify forest vegetation structure of Sobaeksan National Park from May to October in 2008 using the methodology of the ZM school's phytosociological analysis. The forest vegetation was classified into 1 community groups such as Quercus mongolica community group. Quercus mongolica community group was subdivided into 3 community such as Pinus densiflora community, Acer barbinerve community and Cornus controversa community. Pinus densiflora community was subdivided into Quercus variabilis group and Tilia amurensis group. Acer barbinerve community was also subdivided into Salix hallaisanensis group and Betula ermani group(subdivided into Taxus cuspidata subgroup and Betula ermani typical subgroup). Artificial forest type indicated 2 communities such as Larix leptolepis community and Pinus koraiensis community. Accordingly, the vegetation pattern of the surveyed areas were classified into 1 community groups, 5 communities, 4 groups, and 2 subgroups and the forest vegetation was classified into 8 units in total. The vegetation unit distributions was strongly correlated with sea level and topography in this research area.