• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.3
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• pp.1-15
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• 1999

This study was carried out to find out the way to build a comprehensive wetland ecosystem database using the technique of remote sensing and geographic information system. A Landsat TM image taken in May 17, 1997 was used for the primary source for the image analysis. Field surveys were conducted March to September of 1998 to help image analysis and examine the results. An actual wetland vegetation map was created based on the field survey. A Landsat TM image was analyzed by unsupervised and supervised classification methods and finally categorized into such 5 classes as Phragmites australis community, mixed community, sand beach, Scirpus trigueter community and non-vegetation intertidal area. Wetland basemap was developed for the overall accuracy assesment in wetland mapping. Vegetation index map of wetland vegetation was developed using NDVI(normalized difference vegetation index). The map of wetland productivity was developed based on the productivity of Phragmites australis and the relationship to the proximity of adjacent water bodies. The map of potential vegetation succession map was also developed based on the experience and knowledge of the field biologists. Considering these results, it is possible to use the remote sensing and GIS techniques for producing wetland ecosystem database. This study indicated that these techniques are very effective for the development of the national wetland inventory in Korea.

• The Korean Journal of Ecology
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• v.18 no.3
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• pp.307-321
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• 1995

Division of ecoregions having respective functions was attempted through quantitative and qualitative analysis on vegetation diversity, and heterogeneity and on soil environment of the study sites. Field research was carried out in a square of 81 ㎢ around Andongpo (126°38'E, 37°30'N), Kimpo-gun, Kyonggi provice. Conventional methods applied are as follows: classical syntaxonomy by the Zurich-Montpellier School, interpolation method to determine the degree of diversity, heterogeneity and distribution pattern of vegetation, and correlation analysis between soil properties and plant communities. 41 plant communities were identified and composed of 6 forests, 4 mantle and 31 herb communities including 6 saltmarsh plant communities. In a mesh, number of plant communities was highly correlated to the number of species. The highest number of plant community and species was 25 communities·km-2·mesh-1 and 381 species· km-2·mesh-1 ,and the highest value of vegetation heterogeneity was 28.1 species· community-1·mesh-1. Their lowest numbers were 4 communities·km-2·mesh-1. and 28 species·km-2·mesh-1. and 7 species·community-1·mesh-1, respectively. Contour map on vegetation diversity and heterogeneity enabled us to establish two regions; coastal and inland vegetation. Isoline 〔150〕,〔10〕and〔10〕and〔15〕on the species diversity, the community diversity and the vegetation heterogeneity, respectively, were regarded as ecolines in the study area. Cl- content was recognized as the most important factor from correlation analysis between soil properties. Ordination of sites indicated that the study area be divided into two edaphic types: inland and coastal habitats. It was considered that the extent of desalinization in soil played a major role in determining the species composition in the reclamed area. By matching edaphic division of habitats with division of vegetation structures, designation of ecoregion was endorsed. The approach of current study was suggested as an effective tool to implement an assessment of the vegetation dynamics by the disparity of natural environment and anthropogenic interferences.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.856-858
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• 2003

Biotop map can be utilized in the urban area for nature conservation and impact assessment for the proposed activities. High resolution satellite data such as IKONOS and KOMPSAT1-EOS were used to classify land use activities in biotop mapping. After land use classification, field -check was done to survey the wildlife and vegetation. These maps were combined and the boundaries were delineated to produce the biotop map. Within the boundary the characteristics of each polygon were identified, and named. This study was carried out at Daedok Science Town in Taejeon Metropolitan Area. The purpose of this study is to produce the biotop map using high resolution remote sensing data together with other ground data.

• The Korean Journal of Ecology
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• v.14 no.1
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• pp.49-61
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• 1991

Phytosociological invesstigation of the forest vegetation was carried out in Oinrodo island at the period from June 5th 1990 to June 10th 1990 by Braun-Blanquet's method. The forest vegetation was classified into 10 communities, Castanopsis cuspidata var. sieboldii, Machilus thunsbergii, Neolitsea sericea, Quercus glauca-Actinodaphne lancifolia, Pinus thunbergii, Chamaecyparis obtusa, Cryptomeria japonica, Quercus acutissima, Quercus variabilis, and Carpinus coreana community. Based on the classification of communities, the actual vegetation map was drawn in 1 : 50,000 scale.

• Korean Journal of Environment and Ecology
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• v.23 no.2
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• pp.161-168
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• 2009

This research aims at having a grip on the actual condition of vegetation distribution Byeonsanbando National Park and to propose a survey and drawing criteria for vegetation map. Thus, this research conducted a survey of the vegetation distribution on Byeonsanbando National Park through review of the literatures on vegetation surveys on the National Parks in the past and at the present and preparing criteria for survey and drawing of vegetation. The actual vegetation of Bye on san ban do National Park was classified into eight plant communities and other land; the Substitution forest, or natural forest was classified into four plant communities including Quercus variabilis community, deciduous forest, Pinus densiflora community, and mixed forest while afforested land was classified into four forest types: P. rigida forest, P. thunbergii forest, P. rigida forest, P. rigitaeda forest, P. rigida - thunbergii forest, etc. The area belonging to grade 7 in Nature Degree was found to be the largest, covering 69.1% in Byeonsanbando National Park while the area belonging to grade 9 was very rare, covering 0.36%. Thus, it is suggested that criteria for survey and drawing map needed for the systematic survey and management of vegetation in National Parks.

• The Korean Journal of Ecology
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• v.12 no.3
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• pp.145-160
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• 1989

Daehuksan Island (125°23'-125° 28' E and 34°37'-34°42' N, ca 19.7㎢) in the southwestern part of Mokpo, Korea, is a part of the Dadohae National Marine Park. Most of the actual vegetation of the island is substitutional vegetation under various human impact such as grazing, cutting for firewood. And natural vegetation is partially distributed in the tutelary shrine forests, deep valleys, etc. During 1987, phytosociological investigation of this was carried out on the basis of Braum-Blanguet's method. The forest vegetation was classified into 1 association and 7 communities, Camellia japonica, Machilus thunbergii, Ardisio-Castanopsietum sieboldii, Daphniphyllum macropodum-Quercus acuta, Pyrrosia lingua-Pinus densiflora. Rhododendron mucronulatum-Pinus thunbergii, Carpinus coreana, and Psedosasa japonica community. Grassland vegetation was classified into Gleichenia japonica, Gleichenia dichotoma, Arundinella hirta-Miscanthus sinensis, Artemisia princeps var. orientalis. Imperata cylindrica var. koenii Artemisia princeps var. orientalis-Pennisetum alpecuroides, Carex boottiana, and salt marsh vegetation. Thypa orientalis, Spergularia marina, Phragmites communis, Carex scabrifolia, and Triglochin maritimum community. Based on them, the actual vegetation map was made in 1:50,000 scale.

• Korean Journal of Environment and Ecology
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• v.34 no.6
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• pp.573-588
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• 2020

The study investigated the forest vegetation structure of Kongju National University Forests in the vicinity of Seokjangri-dong to provide the information needed for efficient use and management. It conducted a Z-M phytosociological vegetation survey in 60 quadrate plots in August 2019 and generated the actual vegetation map by analyzing the physiognomic community classification and mean importance value. The physiognomic community classification showed five vegetation community types: Quercus acutissima community, Pinus densiflora community, Quercus variabilis community, Pinus rigida community, and Quercus serrata community. The relative importance value in the Q. acutissima community was 31.4% for Q. acutissima, 9.6% for Prunus spp., and 9.0% for Q. variabilis. In the P. densiflora community, it was 24.9% for P. densiflora, 12.4% for Q. acutissima, and 11.5% for Q. serrata. In the Q. variabilis community, it was 25.3% for Q. variabilis, 9.8% for Prunus spp., and 8.5% for Q. acutissima. In the P. rigida community, it was 28.4% for P. rigida 28.4%, 10.0% for Q. acutissima, and 9.3% for P. densiflora. In the Q. serrata community, it was 27.0% for Q. serrata, 11.3% for Q. aliena, and 11.5% for Styrax japonica. The actual vegetation map based on the uppermost dominant species to identify the forest vegetation's spatial distribution characteristics indicated that the natural vegetation covered the most with 87.5%, the number of vegetation patches was 87, and the average area per patch was 1.46ha.

• Spatial Information Research
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• v.22 no.5
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• pp.53-63
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• 2014

As recent interest in ecological resources increases, an effort in three-dimensional visualization of the ecological resources has increased for the restoration and preservation of the natural environment as well as the evaluation of the landscape. However, in the case of forest resources, information extraction has been active, but the effort in trying to apply that information into an effective visualization has not happened. In other words, the effort for effective visualization is lacking when it comes to the visualization of forest resources, and numerous cases are ether non-realistic or the simulation required for analysis is inappropriate. Therefore, this paper extracts information through the use of airborne LiDAR data, aerial photograph, and forest type maps to create a vegetation layer, and then uses Flora3D forest modeling tools and ArcGlobe to accurately visualize the vegetation layer into the three dimension. An effective application for restoration and preservation of ecological resources as well as analysis on the urban landscape can be considered as a result of intuitively and realistically enabling the user's awareness of forest information within the Geographic Information System.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.667-685
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• 2003

To address the requirements of gap analysis for species protection, as well as the needs of state and federal agencies for detailed digital land cover, a 43-class map at the vegetation alliance level was created for the state of Kansas using multi-temporal Thematic Mapper imagery. The mapping approach included the use of three-date multi-seasonal imagery, a two-stage classification approach that first masked out cropland areas using unsupervised classification and then mapped natural vegetation with supervised classification, visualization techniques utilizing a map of small multiples and field experts, and extensive use of ancillary data in post-hoc processing. Accuracy assessment was conducted at three levels of generalization (Anderson Level I, vegetation formation, and vegetation alliance) and three cross-tabulation approaches. Overall accuracy ranged from 51.7% to 89.4%, depending on level of generalization, while accuracy figures for individual alliance classes varied by area covered and level of sampling.

• Journal of Environmental Impact Assessment
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• v.15 no.5
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• pp.339-355
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• 2006

In this paper, we reviewed the assessment criteria and conservation value used to evaluate vegetation. The Degree of Green Naturality (DGN) and the Grade of Vegetation Conservation (GVC) are both sets of criteria that estimate the degree of human disturbance or natural value of vegetation. The criteria are extensively used in decision-making about the natural environment conservation and environment impact assessment. Sometimes, social issues can rise because the criteria are not clear. This study aims to evaluate the criteria based on the many aspects of the related literatures and suggest reasonable revised criteria. In addition, criteria for representing the relative value of valuable vegetation conservation are suggested. The DGN and GVC are essentially same; both have 11 degrees and 5 grades. While the DGN is subdivided into levels of anthropogenic disturbances, the GVC indicates the priority for conserving valuable vegetation. Therefore, the DGN is very useful for assessing land development projects, etc., while the GVC is needed to delineate the Ecological Assessment Map(EAM). In conclusion, it is desirable that both criteria should be used together appropriately.