• The Korean Journal of Ecology
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• v.26 no.2
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• pp.75-81
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• 2003

This study was performed to prove if the high resolution satellite imagery of IKONOS is suitable for preparing digital vegetation map which is becoming increasingly important in ecological science. Seven classes for forest area and five classes for non-forest area were taken for classification. Three methods, such as the pixel based classification, the segment based classification with majority principle, and the segment based classification with maximum likelihood, were applied to classify IKONOS imagery taken in April 2000. As a whole, the segment based classification shows better performance in classifying the high resolution satellite imagery of IKONOS. Through the comparison of accuracies and kappa values of the above 3 classification methods, the segment based classification with maximum likelihood was proved to be the best suitable for preparing the vegetation map with the help of IKONOS imagery. This is true not only from the viewpoint of accuracy, but also for the purpose of preparing a polygon based vegetation map. On the basis of the segment based classification with the maximum likelihood, a digital vegetation map in which each vegetation class is delimitated in the form of a polygon could be prepared.

• Korean Journal of Remote Sensing
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• v.21 no.5
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• pp.383-392
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• 2005

Vegetation classes, especially grass and tree classes, are often confused in classification when conventional spectral pattern recognition techniques are used to classify urban areas. This paper reports on a study to improve the classification results by using an automated process of considering height information in separating urban vegetation classes, specifically tree and grass, using three-band, high-spatial resolution, digital aerial imagery. Height information was derived photogrammetrically from stereo pair imagery using cross correlation image matching to estimate differential parallax for vegetation pixels. A threshold value of differential parallax was used to assess whether the original class was correct. The average increase in overall accuracy for three test stereo pairs was $7.8\%$, and detailed examination showed that pixels reclassified as grass improved the overall accuracy more than pixels reclassified as tree. Visual examination and statistical accuracy assessment of four test areas showed improvement in vegetation classification with the increase in accuracy ranging from $3.7\%\;to\;18.1\%$. Vegetation classification can, in fact, be improved by adding height information to the classification procedure.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.3
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• pp.25-37
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• 2007

The vascular plants of the study area in the Daemisaem region were listed as 302 taxa; 81 families, 196 genera, 251 species, 1 subspecies, 42 varieties, 7 forms and 1 hybrid. Based on the list of Korean endemic plants, 7 taxa were recorded; Carex okamotoi, Salix purpurea var. japonica, Thalictrum uchiyamai, Lespedeza ${\times}$ tomentella, Weigela subsessilis, Aster koraiensis, Cirsium chanroenicum. Specific plants by floral region were total 21 taxa; Silene jenisseensis, Cimicifuga heracleifolia in class IV, 3 taxa (Lilium leichtlinii var. tigrinum, Betula davurica, Lonicera subhispida) in class III, 3 taxa (Viola tokubuchiana var. takedana, Ligularia fischeri, Cirsium chanroenicum) in class II, 13 taxa (Glyceria leptolepis, Meliosma oldhamii, Fraxinus mandshurica, etc.) in class I. The naturalized plants in this site were 8 families, 20 genera, 23 species, 1 varieties, 24 taxa and naturalization rate was 7.9% of all 302 taxa vascular plants. The vegetation community of the selected Daemisaem region were growth of configuration to slope, ridge and valley; Quercus variabilis community, Quercus serrata community, Quercus mongolica community, Salix koreensis community in the slope, Quercus mongolica community, Carpinus tschonoskii community in the ridge, Fraxinus mandshurica community, Carpinus laxiflora community, Acer mono community, Cornus controversa community, Morus bombycis community in the valley.

• Journal of Korean Society of Forest Science
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• v.90 no.3
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• pp.227-235
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• 2001

This study was conducted to investigate the effects of adjacent stand on the invasion of Robinia pseudoacacia plantations. The results were as follows. 1) Robinia pseudoacacia tended to invade into all directions regardless of the kinds of adjacent stands. But it was estimated that the invasion of Robinia pseudoacacia into adjacent stands could be very difficult, if the layer structure of adjacent stands were well developed. Whereas, it was estimated that Robinia pseudoacacia more rapidly intruded into adjacent stands, if adjacent stands were opened and bared. 2) Robinia pseudoacacia tended to invade into all aspects regardless of the kinds of vegetation units in the adjacent stands. But the dominance class of Robinia pseudoacacia in the adjacent stands showed a little differences among the vegetation units. The dominance class of Robinia pseudoacacia in Quercus aliena community and Quercus serrata community showed low level as + ~2, while the dominance class of Pinus densiflora community, Pinus rigida community, Quercus variabilis community and Quercus acutissima community represented high level as 1~4. Also the dominance class of Isodon inflexus subgroup among three subgroups of Pinus densiflora community showed the lowest level as + ~2.

• Korean Journal of Environment and Ecology
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• v.17 no.4
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• pp.324-336
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• 2004

This study was achieved to present ecological administration plan by analyzing vegetation structure and condition rating class(environmental damage degree) of Sangnim Woods Natural Monument in Hamyang-gun, Korea. In vegetation structure part, actual vegetation was classified by 22 patterns and Quercus serrata Carpinus tschonoskii community(31.8％), Quercus serrata community(14.6％) ranged extensively. Main plant community was 8 types, and is fractionated by 13 plant communities according to stratigraphy development degree it is Quercus serrata community, Quercus serrata Carpinus tschonoskii community, Quercus aliena community, Quercus acutissima community, Carpinus tschonoskii community, Carpinus tschonoskii Quercus serrata community, Zelkova serrata-Quercus serrata community, and Planted area with korean landscape woody plants. Age of old growth trees that diameter of breast height over 38cm was 61∼77years. In condition rating class, area of class 3 was 51,960$m^2$(32.8％), area of class 4 was 6,583$m^2$(3.5％), and area of class 5 was 4,086$m^2$(2.6％) and gross area of class 3∼6 need artificial restoration was 61,619$m^2$(38.9％). Considering actual vegetation, plant community structure, and condition rating class biotope was classified by total 14 types. While distribution area of Queens spp. old growth forest of shrub damaged(51,246$m^2$, 32.4％) and deciduous broad leaved old growth forest of simple-layer structure(19,906$m^2$, 12.6％) is large and that of deciduous broad-leaved old growth forest of multi-layer structure(2,085$m^2$, 1.3％) and Queens spp. old growth forest of multi-layer structure may have to manage with user control by administration plan for stabilization of Sangnim Woods ecosystem for long-term. Also, both vegetation of shrub damaged and simple-layer structure as negative restoration area should be restored for ecological succession and both grassland and planted area with korean woody plants as positive restoration area should be revegetated by using ecological planting model of native vegetation structure in Sangnim Woods.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.4
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• pp.153-159
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• 2011

Vegetative land cover is an important variable many Earth system process, general circulation and carbon exchange model requires vegetative cover as boundary layer necessary to run model. The purpose of this study is to detect and to understand land surface change. To monitor changes of East Asia vegetation, we used NDVI 10-day MVC data derived from SPOT VEGETATION during 12 years from 1999 to 2010. Finally, according to the land cover of classified class, we performed analysis for dynamic zone(positive change zone and negative change zone), static zone in 1999, 2010. Therefore, land covers corresponding to each class have appeared change by 2010. Land cover change was confirmed by analyzing data during 12 years which appeared vegetation change of surrounding the actual desert area to east.

• The Korean Journal of Ecology
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• v.10 no.4
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• pp.165-173
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• 1987

Odong Island, Yeosu, is the one of the Hallyosudo National Marine Park. The vegetation of this island was surveed from July, 1986 through April, 1987. By the Braun-Blanquet's method, the vegetation of Odong Island was classified into 7 communities and 4 afforestations; that is, Pseudosasa japonica community and Phyllostachys bambusoides afforestation (bamboo stands), Mallotus japonicus, Quercus acutissima community, Prunus serrulata var. spontanes and Celtis sinenesis afforestation (deciduous forests), Pinus densiflora, Pinus thunbergii community, Chamaecyparis pisifera afforestation (evergreen needle-leaved forests), and Castanopsis cuspidata var. sieboldii-Camellia japonica and Machilus thunbergii-Camellia japonica community (evergreen broad-leaved forests). Based on the classification, the actual vegetation map of the island was prepared in scale 1:2,600. Judging by the DBH class distribution and many other informations, ww can expect that the coniferous forests area of the island will be replaced by evergreen broad-lea ed forests after a few future.

• Korean Journal of Remote Sensing
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• v.27 no.4
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• pp.435-444
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• 2011

The land cover map derived from spectral features of high resolution optical images has low spectral resolution and heterogeneity in the same land cover class. For this reason, despite the same land cover class, the land cover can be classified into various land cover classes especially in vegetation area. In order to overcome these problems, detailed vegetation classification is applied to optical satellite image and SAR(Synthetic Aperture Radar) integrated data in vegetation area which is the result of pre-classification from optical image. The pre-classification and vegetation classification were performed with MLC(Maximum Likelihood Classification) method. The hierarchical land cover classification was proposed from fusion of detailed vegetation classes and non-vegetation classes of pre-classification. We can verify the facts that the proposed method has higher accuracy than not only general SAR data and GLCM(Gray Level Co-occurrence Matrix) texture integrated methods but also hierarchical GLCM integrated method. Especially the proposed method has high accuracy with respect to both vegetation and non-vegetation classification.

• Journal of Korean Society of Forest Science
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• v.86 no.3
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• pp.365-377
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• 1997

Much of the Cumberland Plateau of Tennessee, USA is in mixed hardwoods for which there are no applicable growth and yield predictors. Use of site index as a variable in growth and yield prediction models is limited in most stands because their history is not known and many may not be even-aged. Landtypes may offer an alternative to site index for these mixed stands because they were designed to include land of about equal productivity. To determine vegetation by landtype, dependency between landtype and detailed forest type was tested with Chi-square. Differences in productivity among landtypes were tested by employing regression analyses and analysis of variance(ANOVA). Basal area growth was fitted to the nonlinear models developed by Moser and Hall(1969). Basal area growth and volume growth were also predicted as a function of initial total basal area and initial volume with linear regression by landtype and by landtype class. Differences in basal area growth and volume growth by landtype were tested with ANOVA. Dependency between site class and landtype was tested with Chi-square. Vegetation types seem to be related to landtypes in the study area although the validity of the test is questionable because of a high proportion of sparsely occupied cells. No statistically significant differences in productivity among landtypes were found in this study.

• Korean Journal of Remote Sensing
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• v.28 no.6
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• pp.661-670
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• 2012

Urban forests provide great ecosystem services to population in metropolitan areas even though they occupy little green space in a huge gray landscape. Unfortunately, urbanization inherently results in threatening the green infrastructure, and the recent urbanization trends drew great attention of scientists and policy makers on how to preserve or restore green infrastructure in metropolitan area. For this reason, mapping the spatial distribution of the green infrastructure is important in urban environments since the resulting map helps us identify hot green spots and set up long term plan on how to preserve or restore green infrastructure in urban environments. As a preliminary step for mapping green infrastructure utilizing multi-source remote sensing data in urban environments, the objective of this study is to map vegetation volume by fusing LiDAR and multispectral data in urban environments. Multispectral imageries are used to identify the two dimensional distribution of green infrastructure, while LiDAR data are utilized to characterize the vertical structure of the identified green structure. Vegetation volume was calculated over the metropolitan Chicago city area, and the vegetation volume was summarized over 16 NLCD classes. The experimental results indicated that vegetation volume varies greatly even in the same land cover class, and traditional land cover map based above ground biomass estimation approach may introduce bias in the estimation results.