• Journal of Korean Society of Forest Science
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• v.101 no.3
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• pp.356-364
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• 2012

This study was to estimate the biomass of Mt. Changbai mountain area using the IKONOS imagery and field survey data. Then, we prepared the regression function using the vegetation index derived from the IKONOS and biomass estimated from field measured data of previous studies, respectively. The five vegetation index which used in the regression model was SAVI, NDVI, SR, ARVI, and EVI. As a result, the rank of the R-square from coefficient of correlation was as follow, SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026). Finally, we estimated the biomass of non-measured area using the Soil Adjusted Vegetation Index (SAVI). This study can be used as reference methodology for the estimation of carbon sinks of primary forest.

• Korean Journal of Environmental Biology
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• v.25 no.3
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• pp.249-259
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• 2007

This study was carried out the analysis of forest vegetation structure using the phytosociological methods by Braun-Blanquet from April to November in 2006. The results were summarized as follows. The forest vegetation was classified into 23 communities and 3 forest ecosystem types such as slope forest type, valley forest type and artificial forest type. By the actual vegetation map, Quercus mongolica forest was widely distributed in the area and Pinus densiflora forest and Quercus variabilis forest in the southern parts of the slope and valley forest mainly in valley area, respectively. The importance value in the Q. mongolica forest and artificial forest was absolutely high for the species dominated in tree layer. The typical valley species of Lindera erythrocarpa and Styrax japonica were abundantly occupied in the all layers. Species diversity indices of Alnus hirsta forest was the lowest as 0.2191, and that of valley forest was about 0.9, the highest among the all forest types.

• Korean Journal of Environment and Ecology
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• v.30 no.6
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• pp.1032-1046
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• 2016

The purpose of this study was to provide basic information on ecological forest management in Janggunbong, Bonghwa-Gun. Vegetation data were collected from Janggunbong, Bonghwa-Gun, from July, 2014 to October, 2015. We carried out an analysis of vegetation types on the physiognomically dominant species of 111 quadrates. In the natural forest area, the vegetation community was classified into Quercus mongolica, Betula schmidtii, Pinus densiflora, Quercus variabilis and Tilia amurensis. In the plantation area, the vegetation community was classified into Pinus koraiensis, Larix kaempferi, Fraxinus rhynchophylla and Betula platyphylla var. japonica. Based on the analysis of the importance value of the species in the slope area, it was seen that the tree layers of the natural forest were dominated by Quercus mongolica at 44.3, and Pinus densiflora at 12.1. The importance values of the subtree layer of the natural forest were found to be 27.6 for Quercus mongolica, and 12.4 for Fraxinus sieboldiana. Also, the importance values of the tree layers in the plantation areas were found to be 22.6 for Pinus koraiensis, 15.4 for Larix kaempferi, and 13.3 for Fraxinus rhynchophylla, while those of the subtree layers of the plantation area were found to be17.9 for Quercus variabilis, 14.1 for Parthenocissus tricuspidata, and 10.4 for Quercus mongolica in that order. Vine plants showed higher importance values in the plantation area than in the natural forest area. Species diversity in the valley area was 2.334 in the natural forest area, and 1.734 in the plantation area. That of natural forest area was 1.931, and that of plantation area was 1.927 in slope area. For management of the forest vegetation in Mt. Janggunbong, a distinct forest management plan, customized for each topography and physiognomical community unit should be made Particularly, the administration is required to consider strategies to reduce the higher importance value for vine plants in the plantation areas.

• Korean Journal of Remote Sensing
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• v.8 no.1
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• pp.27-43
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• 1992

The purpose of this study is to detect and evaluate the change of urban vegetation of Seoul during 1980s. Large areas covered with agricultural crops or forests were converted to residential and commercial areas, roads, schools, sports complexes, etc. There were also widespreas concerns on the deterioration of the quality of urban vegetation due to severe air pollution, overcrowding of nature parks, and idling of farm lands by land speculators. The image used for this study were MSS(Oct. 4, 1979) and TM(Apr. 26, 1990). The Green Vegetation Index of Kauth & Thomas(1976) was for the analysis. The GVI were resampled with 75$\times$75m grids and overlaid with the jurisdictional boundaries of 22 districts of Seoul. The results were reclassified to 6 classes, class 6 representing grids with the most vigorous vegetation or the best vegetation improvement in 1980s. The finding of this study can be summarized as follows : First, the most vigorous vigorous vegetation, in terms of GVI, of the 1979 image can be found at paddy fields located on alluvial near Han River. Broad-leaf forests located on hilly terrains have higher GVI than conifers located on the upper-parts of mountains. The average GVI of the northern part and southern part of Han River are 3.56 and 3.74, respectively. The main reason why the southern part has higher GVI is that there are more prime agricultural lands. Districts of Kangseo, Yangcheon, and Songpa have the highest percentage of grids of GVI class 6, and the percentages are 3.55 %, 3.47 %, and 2.69 %, respectively. Second, the most vigorous vegetation of the 1990 image can be found at the grass lands of the Yongsan golf club and the Sungsu horse racing track. The GVI of farm lands is lower than forest because most agricultural crops are at the early stage of growing season when the TM image was taken. The size of built-up area is much larger than of 1979. On the other hand, vegetation patches surrounded by developed area become smaller and have stronger contrast to surrounding area. The average GVI of the northern part and southern part of Han River are 3.57 and 3.51, respectively. The main reason why the southern part has lower GVI is the at more large-scale urban development projects were carried out in there during 1980s. Districts of Tobong, Nowon, and Seocho have the highest percentage of class 6, and the perecentages are 16.58 %, 10.14 %, and 8.50% respectively. Third, the change of urban vegetation in Seoul during 1980s are significant. Grids of GVI change classes 1 and 2, which represent severe vegetation loss, occupy 15.97% of Seoul. Three districts which lost the most vegetation are Yangcheon, Kangseo, and Songpa, where the percentages of GVI class 1 are 13.42%, 13.39% and 9.06%, respectively. The worst deterioration was mainly caused by residential developments. On the other hand, the vegetation of some part of Seoul improved in this period. Grids of GVI change classes 5 and 6 occupy 9.83 % of Seoul. Distircts of Jung, Yongsan, and Kangnam have the highest percentage of grids with GVI change classes 5 and 6, and their percentages are 22.31%, 19.17%, and 13.66%, respectively. The improvement of vegetation occurred in two areas. Forest vegetation is generally improving despite of concerns based on air pollution and heavy use by recreationists. Vegetation in open spaces established in riverside parks, large residential areas, and major public facilities are also improving.

• Journal of Korea Water Resources Association
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• v.54 no.9
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• pp.681-692
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• 2021

Vegetation processes have a significant impact on rainfall runoff processes through evapotranspiration control, but are rarely considered in the conceptual lumped hydrological model. This study evaluated the model performance of the Hapcheon Dam watershed by integrating the ecological module expressing the leaf area index data sensed remotely from the satellite into the hydrological partition module. The proposed eco-hydrological model has three main features to better represent the eco-hydrological process in humid regions. 1) The growth rate of vegetation is constrained by water shortage stress in the watershed. 2) The maximum growth of vegetation is limited by the energy of the watershed climate. 3) The interaction of vegetation and aquifers is reflected. The proposed model simultaneously simulates hydrologic components and vegetation dynamics of watershed scale. The following findings were found from the validation results using the model parameters estimated by the SCEM algorithm. 1) Estimating the parameters of the eco-hydrological model using the leaf area index and streamflow data can predict the streamflow with similar accuracy and robustness to the hydrological model without the ecological module. 2) Using the remotely sensed leaf area index without filtering as input data is not helpful in estimating streamflow. 3) The integrated eco-hydrological model can provide an excellent estimate of the seasonal variability of the leaf area index.

• Korean Journal of Plant Resources
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• v.35 no.2
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• pp.169-182
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• 2022

This study was conducted to predict the distribution of rare·endemic plants (Sophora koreensis Nakai) in the border forests where wildfire damage occurred and to quantify the damage. For this purpose, we tried to derive more accurate results through forest area damage (NBR) according to the Burn severity of wildfires, damage by tree species type (Vegetation map), and MaxEnt model. For Burn severity analysis, satellite imagery (Landsat-8) was used to analyze Burn severity (ΔNBR2016-2015) and to derive the extent of damage. To prepare the Vegetation map, the land cover map prepared by the Ministry of Environment, the Vegetation map prepared by the Korea Forest Service, and the vegetation survey conducted by itself were conducted to prepare the clinical map before and after the forest fire. Lastly, for MaxEnt model analysis, the AUC value was derived by using the habitat coordinates of Sophora koreensis Nakai based on the related literature and self-report data. As a result of combining the Maxent model analysis data with the Burn severity data, it was confirmed that 45.9% of the 44,760 m² of habitat (predicted) area of Sophora koreensis Nakai in the wildfire damaged area or 20,552 m², was damaged.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.3
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• pp.38-51
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• 2007

The purpose of this study is to analyze of biotope types and to develop assessment for forest ecosystem evaluation method. Vegetation types divided into 27 types. Considering the vegetation types, vegetation structures, DBH, potentials, and disturbance, it was decided to apply 58 biotope types and survey site's biotopes were divided into 24 biotope types. Assessment indicators were naturaliness, diversity, rarity, stability, potential, and disturbance. The areas given the first grade in ecological value included 9.2% of the site's total land. Areas with the second grade accounted for 43.0% of the total land. Areas with the third grade made up 47.8% of the site and mostly they were areas with dominance of fired area and artificial forest. To plan to build naturally-development for Site, there should be plans to conserve areas with the first grades. For the areas with the second, and third grades, plans for ecological land use based on conservation and restoration in terms of securing biodiversity are needed.

• The Korean Journal of Ecology
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• v.11 no.2
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• pp.97-107
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• 1988

The forest vegetation occurring mainly at the mountain areas in periphery of Seoul were inversigated phyeosociologically. The granitic rocky outcrops are typical physiognomy on the study areas. The greater part of forests was the secondary vegetation to be disturbed by hyman impacts, because of being situated near the metropolis with a highly dense population. Four community types were largely differentiated by species composition. The representitive ones were the Quercus monogolica community and Pinus densiflora-Juniperus schinensis community, which are predominantly gorwing at the slopes above about 100m in altituse and the rocky ridges, respectively. The Betula chinensis-Potentilla dickinsii community at several single-peaks of windswept and the Zelkova serrata-Prunus padus community at stony valley are sporadically growing in a small area.

• Korean Journal of Remote Sensing
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• v.20 no.1
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• pp.13-21
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• 2004

The usefulness of the multi-temporal satellite image to monitoring the vegetation recovery process after forest fire was tested. Using multi-temporal Landsat TM and ETM＋data, NDVI and NBR changes over times were analyzed. Both NDVI and NBR values were rapidly decreased after the fire and gradually increased for all forest type and damage class. However, NBR curve showed much clearer tendency of vegetation recovery than NDVI. Both indices yielded the lowest values in severely damaged red pine forest. The results show the vegetation recovery process after forest fire can detect and monitor using multi-temporal Landsat image. NBR was proved to be useful to examine the recovering and development process of the vegetation after fire. In the not damaged forest, however the NDVI shows more potential capability to discriminate the forest types than NBR..

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.2
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• pp.21-35
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• 2020

Vegetation information is a very important factor used in various fields such as urban planning, landscaping, water resources, and the environment. Vegetation varies according to canopy density or chlorophyll content, but vegetation vitality is not considered when classifying vegetation areas in previous studies. In this study, in order to satisfy various applied studies, a study was conducted to set a threshold value of vegetation index considering vegetation vitality. First, an eBee fixed-wing drone was equipped with a multi-spectral camera to construct optical and near-infrared orthomosaic images. Then, GIS calculation was performed for each orthomosaic image to calculate the NDVI, GNDVI, SAVI, and MSAVI vegetation index. In addition, the vegetation position of the target site was investigated through VRS survey, and the accuracy of each vegetation index was evaluated using vegetation vitality. As a result, the scenario in which the vegetation vitality point was selected as the vegetation area was higher in the classification accuracy of the vegetation index than the scenario in which the vegetation vitality point was slightly insufficient. In addition, the Kappa coefficient for each vegetation index calculated by overlapping with each site survey point was used to select the best threshold value of vegetation index for classifying vegetation by scenario. Therefore, the evaluation of vegetation index accuracy considering the vegetation vitality suggested in this study is expected to provide useful information for decision-making support in various business fields such as city planning in the future.