• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.848-851
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• 2006

Green vegetation is one of the most critical factors for environment conditions thorough modulating evapotranspiration and absorption of solar radiation. Thus, fractional green vegetation cover (FVC) plays an important role in observing and managing environment. Remote sensing provides a seemingly obvious data source for quantifying FVC over large area. Therefore we compared a set of methods for estimating FVC using hyperspectral remote sensing data. For our study, we used Hyperion imagery acquired in April, 2002. In order to achieve our efforts, we analyzed simple NDVI-based method and spectral mixture analysis (SMA) models that were applied a variety of combinations of possible endmembers.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.541-544
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• 2004

Recently, the heat island phenomenon in which the temperature of a city part rises from the circumference ground has developed into a big problem. In this study, we aimed at examining the impact of increasing vegetation in urban areas to reduce the heat island phenomenon by taking the Fukuoka City of Japan as a case. In order to discuss the relation between vegetation environment and the heat island phenomenon, we have calculated Normalized Difference Vegetation Index (NDVI) and mapped the spatial vegetation distribution. These are then compared with the heat island phenomenon investigations in Fukuoka City. The results of the study revealed that the areas showing comparatively lesser heat island phenomenon are those having increased vegetation.

• Journal of Ecology and Environment
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• 제37권2호
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• pp.53-60
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• 2014

The arctic tundra is an important ecosystem in terms of the organic carbon cycle and climate change, and therefore, detailed analysis of vegetation distribution patterns is required to determine their association. We used grid-sampling method and applied geostatistics to analyze spatial variability and patterns of vegetation within a two-dimensional space, and calculated the Moran's I statistics and semivariance to assess the spatial autocorrelation of vegetation. Spatially autocorrelated vegetation consisted of moss, Eriophorum vaginatum, Betula nana, and Rubus chamaemorus. Interpolation maps and cross-correlograms revealed spatial specificity of Carex aquatilis and a strong negative spatial correlation between E. vaginatum and C. aquatilis. These results suggest differences between the species in water requirements for survival in the arctic tundra. Geostatistical methods could offer valuable information for identifying the vegetation spatial distribution.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.78-81
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• 2003

The present study illustrates a method for monitoring the urban vegetation around Shaoxing city, Monitoring spatiotemporal changes in urban areas will become increasingly important as the number and proportion of urban residents continues to increase. The synoptic view of urban land cover provided by satellite and airborne sensors is an important complement to in situ measurements of physical, environmental and socioeconomic variables in urban settings. The results obtained have revealed a notable change in the vegetation cover in and around the City premises. In this study, we discussed methodology for measurement of urban vegetation and vegetation distributions based on band ratioing in Shaoxing city using Land sat TM imageries. A systematic analysis of the spatiotemporal dynamics of vegetation in urban areas is required to ensure a healthy sustainable environment.

• 대한원격탐사학회지
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• 제26권6호
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• pp.665-673
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• 2010

The role of remote sensing in phenological studies is increasingly regarded as a key in understanding large area seasonal phenomena. This paper describes the application of Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for vegetation classification using seasonal variation patterns. The vegetation seasonal variation phase of Seoul and provinces in Korea was inferred using 8 day composite MODIS NDVI (Normalized Difference Vegetation Index) dataset of 2006. The seasonal vegetation classification approach is performed with reclassification of 4 categories as urban, crop land, broad-leaf and needle-leaf forest area. The BISE (Best Index Slope Extraction) filtering algorithm was applied for a smoothing processing of MODIS NDVI time series data and fuzzy classification method was used for vegetation classification. The overall accuracy of classification was 77.5% and the kappa coefficient was 0.61%, thus suggesting overall high classification accuracy.

• 한국산림과학회지
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• 제106권3호
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• pp.275-287
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• 2017

본 연구는 두타산 일대 산림식생구조를 밝히고, 식생유형분류와 입지환경인자와의 상관관계 파악을 목적으로 수행되었다. 2016년 6월부터 10월까지 Z-M학파의 식물사회학적인 방법에 의해 식생조사를 수행하여 총 46개소의 식생자료를 획득하였고, 이 자료를 토대로 식생분류를 실시하였다. 그 결과, 최상위 수준에서 신갈나무군락군으로 분류되었으며, 신갈나무군락군은 철쭉군락과 거제수나무군락의 2개 군락으로 분류되었다. 철쭉군락은 동자꽃군과 철쭉전형군 2개의 군으로 세분되었고 동자꽃군은 박새소군과 동자꽃전형소군 2개의 소군으로 세분되었다. 거제수나무군락은 들메나무군과 박달나무군 2개 군으로 세분되었다. 들메나무군은 병꽃나무소군과 승마소군 2개 소군으로 세분되었다. 두타산 일대 산림식생은 총 6개의 식생단위, 14개의 종군단위, 2쌍의 대별종군으로 분류되었다. 수관층위구조의 분석결과, 식생단위별로 임관의 계층이 서로 겹치지 않는 단조로운 구조인 박새소군(식생단위 1), 동자꽃전형소군(식생단위 2), 병꽃나무소군(식생단위 4)과 겹치는 복잡한 구조인 철쭉전형군(식생단위 3) 승마소군(식생단위 5), 박달나무군(식생단위 6)이 나타났다. 승마소군(식생단위 5)의 수직적 계층구조가 가장 발달하였으며, 박달나무군(식생단위 6)은 초본층 식피율이 가장 낮았다. 일치법에 의한 식생단위와 환경요인과의 상관관계를 보면, 해발 1,100 m, 사면 중부, 경사 $20^{\circ}$, 암석노출도 20%, 교목층 DBH 30 cm를 기준으로 철쭉군락(식생단위 1~3)과 거제수나무군락(식생단위 4~6)이 분류되었다. CCA 분석 결과 철쭉군락(식생단위 1~3)은 해발, 지형과 정의 상관관계, 거제수나무군락(식생단위 4~6)은 부의 상관관계 분포경향이 나타났다.

• 한국환경복원기술학회지
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• 제14권5호
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• pp.81-101
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• 2011

This study was conducted to understand the environmental and ecological function of habitat through evaluation of water environment, soil environment, vegetation characteristics, macro-invertebrate characteristics, and visual habits environment evaluation (SVAP) in Hongdong stream located in Hongseong-Gun, Chungnam Province, and hereafter to utilize the results for the habits reconstruction and improvement project. As the results of water quality analysis, BOD, COD, T-P was almost below the standard quality from upper stream to down stream. The construction of small reservoir, wetland and water purification facility, and the management of non-point pollution are proposed to improve these problems. The soil texture was sandy soil, which is unfitted with vegetation development. The construction of shallows and bogs, and induction of soil sedimentation and biotope formation are proposed to improve these problems. In the plant flora, total 90 kinds were observed with 81 species and nine varieties in total 36 families and 85 genera, and the naturalization rate was higher at down area than upper area. As the results of macro-invertebrate fauna survey, total 26 species and 297 individuals in 20 families and 22 genera were collected. Peltodytes sinensis, Chironomidae sp., and Culicidae sp., which are observed at polluted environment, were collected as dominant species. An appropriate vegetation management party idea is necessary, and it is done an idea in consideration of the soil and a physical characteristic. Visual habits environment evaluation (SVAP) result was mostly determined with below normal (Fair) grade. Pollution source interception, purification pond establishment, and various bog establishment are proposed to improve these problems. With the above results, the ecological environment was determined with bad condition, and the improvement of biotope was urgently needed through sustainable monitoring and management of streams habitat in rural area.

• 한국지형학회지
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• 제23권3호
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• pp.1-11
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• 2016

This study estimated vegetation environment and agricultural activity during the late Holocene inferred from pollen analysis of peat on floodplain of Wangpo-cheon around Neungsan-ri, Buyeo-gun, South Korea. By result of pollen analysis of 28 horizons from Trench NS 1 and NS 4, vegetation environment during 2,300 to 1,700 yr BP was divided into Pollen Zone I (Quercus-Alnus), Pollen Zone II (Quercus-Alnus-Gramineae) and Pollen Zone III (Pinus-NAP-Gramineae). The pollen analysis suggests that agricultural activity in the Buyeo area was widely spread from the early time of the Pre-Iron Age to the late Samhan Age and buckwheat field seem to be built to substitute paddy field during the early time of the Pre-Iron Age.

• 한국지하수토양환경학회지:지하수토양환경
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• 제24권2호
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• pp.1-7
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• 2019

The feasibility of using hydrated lime ($Ca(OH)_2$) was assessed in reducing soil loss in sloped land under field condition. During 6-month monitoring from May to October, amendment of hydrated lime (3%, w/w) to a test plot decreased soil loss by 76% as compared to the unamended plot. However, the growth of natural vegetation was hampered by hydrated lime addition due to pH increase. Hydrated lime can be used as an effective agent to prevent soil loss in sloped land, but additional treatments are needed to preserve vegetation growth, especially in crop fields.

• 한국대기환경학회지
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• 제24권4호
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• pp.423-438
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• 2008

BEIS2 (Biogenic Emissions Inventory System version 2) and BEIS3.12 (BEIS version 3.12) were used to estimate hourly biogenic emissions over South Korea using a set of vegetation and meteorological data simulated with the MM5 (Mesoscale Model version 5). Two biogenic emission models utilized different emission factors and showed different responses to solar radiations, resulting in about $10{\sim}20%$ difference in the nationwide isoprene emission estimates. Among the 11-vegetation classes, it was found that mixed forest and deciduous forest are the most important vegetation classes producing isoprene emissions over South Korea comprising ${\sim}90%$ of the total. The simulated isoprene concentrations over Seoul metropolitan area show that diurnal and daily variations match relatively well with the PAMS (Photochemical Air Monitoring Station) measurements during the period of June 3${\sim}$June 10, 2004. Compared to BEIS2, BEIS3.12 yielded ${\sim}35%$ higher isoprene concentrations during daytime and presented better matches to the high peaks observed over the Seoul area. This study showed that the importance of vegetation data and emission factors to estimate biogenic emissions. Thus, it is expected to improve domestic vegetation categories and emission factors in order to better represent biogenic emissions over South Korea.