• Title/Summary/Keyword: Vegetation information

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Strategies for Minimizing Forest Disturbance During the Construction of Power Transmission Towers (송전선로 건설에 따른 산림훼손의 최소화 관리방안)

  • 이동근;강현경
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.6
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    • pp.66-78
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    • 2003
  • The purpose of this study was to minimize the forest disturbance around an entry road of a power transmission tower construction site between Taean and Sinsesan, Chungnam. The main study field was classified into existing materials and a GIS, remote sensing analysis, and a field examination. This information was used to identify the most suitable entry road using a degree of green naturality map, eco-naturality map, actual vegetation map, and a forest state map as the existing materials. Also, the study used an normalized difference vegetation index, altitude and slope map in order to make the evaluation materials which used an remote sensing image, and GIS. This data was used to choose an optimum area, and diagnosed the current condition of the vegetation with a field survey of the area. It analyzed vegetation structure, species diversity, the age of trees in a field examination. Subsequently, we proposed four area types based on the analysis results--preservation area, transplantation area, restoration area and development area. As a result, the preservation area was categorized into 8 grades, according to the degree of green naturality, large area of breast diameter at Pinus densiflora community, competition area of Pinus densiflora and Quercus spp. and Quercus spp. community of over 20 years old. A transplantation area established 46 optimum areas according to the GIS analysis and vegetation investigation results. Vegetation restoration plan for disturbance area should be made based on ecological value of existing vegetation to worthwhile area as Quercus spp. mixing forest proposed. The development area selected a ecological worthless place as an artificial forest where Pinus densiflora and Pinus thunbergii growth is poor. This research results suggest that restoration of vegetation will be possible in the real world. Also, ecological restoration guidelines will be made through building and analyzing data base and routine monitoring of transplantation and restoration area.

Development and Application of a Model for Restoring a Vegetation Belt to Buffer Pollutant Discharge (수질 오염물질 배출저감을 위한 완충식생 복원 모델 개발)

  • An, Ji Hong;Lim, Chi Hong;Lim, Yun Kyung;Nam, Kyeong Bae;Pi, Jung Hun;Moon, Jeong Sook;Bang, Je Yong;Lee, Chang Seok
    • Journal of Korean Society on Water Environment
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    • v.32 no.2
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    • pp.205-215
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    • 2016
  • In order to improve water quality in the Paldang Lake, a riparian vegetation belt, treatment wetland, and artificial floating island were designed for introduction in the upland field, the estuary of tributaries, and the section of water facing mountainous land, respectively. We synthesized vegetation information collected from a reference river and found that herbaceous, shrubby, and tree vegetation zones tended to be dominated by Phragmites japonica, Phalaris arundinacea, etc.; Salix gracilistyla, S. integra, etc.; and S. koreensis, S. subfragilis, and Morus alba, respectively. In our plan, the herbaceous vegetation zone, which is established on floodplains with a high frequency of disturbance, will be left in its natural state. A shrubby vegetation zone will be created by imitating the species composition of the reference river in the ecotone between floodplain and embankment. A tree vegetation zone will be created by imitating species composition on the embankment slope. In the treatment wetland, we plan to create emerged and softwood plant zones by imitating the species composition of the Zizania latifolia community, the Typha orientalis community, the P. communis community, the S. integra community, and the S. koreensis community. The floating island will be created by restoring Z. latifolia and T. orientalis for water purification purposes.

Probabilistic evaluation of ecological drought in forest areas using satellite remote sensing data (인공위성 원격 감지 자료를 활용한 산림지역의 생태학적 가뭄 가능성에 대한 확률론적 평가)

  • Won, Jeongeun;Seo, Jiyu;Kang, Shin-Uk;Kim, Sangdan
    • Journal of Korea Water Resources Association
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    • v.54 no.9
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    • pp.705-718
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    • 2021
  • Climate change has a significant impact on vegetation growth and terrestrial ecosystems. In this study, the possibility of ecological drought was investigated using satellite remote sensing data. First, the Vegetation Health Index was estimated from the Normalized Difference Vegetation Index and Land Surface Temperature provided by MODIS. Then, a joint probability model was constructed to estimate the possibility of vegetation-related drought in various precipitation/evaporation scenarios in forest areas around 60 major ASOS sites of the Meteorological Administration located throughout Korea. The results of this study show the risk pattern of drought related to forest vegetation under conditions of low atmospheric moisture supply or high atmospheric moisture demand. It also identifies the sensitivity of drought risks associated with forest vegetation under various meterological drought conditions. These findings provide insights for decision makers to assess drought risk and develop drought mitigation strategies related to forest vegetation in a warming era.

Approximate estimation of soil moisture from NDVI and Land Surface Temperature over Andong region, Korea

  • Kim, Hyunji;Ryu, Jae-Hyun;Seo, Min Ji;Lee, Chang Suk;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.30 no.3
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    • pp.375-381
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    • 2014
  • Soil moisture is an essential satellite-driven variable for understanding hydrologic, pedologic and geomorphic processes. The European Space Agency (ESA) has endorsed soil moisture as one of Climate Change Initiates (CCI) and had merged multi-satellites over 30 years. The $0.25^{\circ}$ coarse resolution soil moisture satellite data showed correlations with variables of a water stress index, Temperature-Vegetation Dryness Index (TVDI), from a stepwise regression analysis. The ancillary data from TVDI, Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from MODIS were inputted to a multi-regression analysis for estimating the surface soil moisture. The estimated soil moisture was validated with in-situ soil moisture data from April, 2012 to March, 2013 at Andong observation sites in South Korea. The soil moisture estimated using satellite-based LST and NDVI showed a good agreement with the observed ground data that this approach is plausible to define spatial distribution of surface soil moisture.

Vegetation Spatial Distribution Analysis of Tundra-Taiga Boundary Using MODIS LAI Data (MODIS LAI 데이터를 이용한 툰드라-타이가 경계의 식생 공간분포분석)

  • Lee, Min-Ji;Han, Kyung-Soo
    • Spatial Information Research
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    • v.18 no.5
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    • pp.27-36
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    • 2010
  • This study observed distribution of vegetation to confirm change of tundra-taiga boundary. Tundra-taiga boundary is used to observe the transfer of vegetation pattern because it is very sensitive to human activity, natural disturbances and climate change. The circumpolar tundra-taiga boundary could observe reaction about some change. Reaction and confirmation about climate change were definite than other place. This study used Leaf Area Index(LAI) 8-Day data in August from 2000 to 2009 that acquire from Terra satellite MODerate resolution Imaging Spectroradiometer(MODIS) sensor and used K$\"{o}$ppen Climate Map, Global Land Cover 2000 for reference data. This study conducted analysis of spatial distribution in low density vegetated areas and inter-annual / zonal analysis for using the long period data of LAI. Change of LAI was confirmed by analysis based on boundary value of LAI in study area. Development of vegetation could be confirmed by area of grown vegetation($730,325km^2$) than area of reduced vegetation ($22,372km^2$) in tundra climate. Also, area was increased with the latitude $64^{\circ}$ N~$66^{\circ}$ N as the center and around the latitude $62^{\circ}$ N through area analysis by latitude. Vegetation of tundra-taiga boundary was general increase from 2000 to 2009. While area of reduced vegetation was a little, area of vegetation growth and development was increased significantly.

A Syntaxonomical Study on the Vegetation of Ruined Salt Field in Chonnam Province (전남 해안 지역에 분포하는 폐염전 염생식물의 군락분류학적 연구)

  • 양효식
    • The Korean Journal of Ecology
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    • v.22 no.5
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    • pp.265-270
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    • 1999
  • A syntaxonomical study about the vegetation of ruined salt field in Chonnam province was carried out and its soil properties were also determined. This study was accomplished by the methods of Mueller-Dombois and Ellenberg. This study was designed to clarify the syntaxonomical and synecological characteristics of the vegetation of ruined salt field in Chonnam province. The annual herbaceous halophyte communities of ruined salt field in Chonnam province were consisted of 5 communities: Salicornia herbacea community, Sueada japonica community, Sueada maritima community, Atriplex gmelini community, Spergularia marina community. And the perennial herbaceous halophyte communities of ruined salt field in Chonnam province were consisted of 3 communities: Aster tripolium community, Carex scabrifolia community, Phragmites communis community. The subsidiary knowledges of this study will make it possible to accumulate information on the distribution pattern of coastal salt marsh vegetation, and also will provide practical information for conservation of coastal ecosystems.

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Estimation of Potential Natural Vegetation using the Estimate to Probability Distribution of Vegetation in Bukhansan National Park (식생 분포 확률 추정을 통한 북한산 국립공원의 잠재자연식생 추정)

  • Shin, Jin-Ho;Yeon, Myung-Hun;Yang, Keum-Chul
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.16 no.3
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    • pp.41-53
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    • 2013
  • The study for the estimation potential natural vegetation was estimated the occurrence probability distribution using geographic information system(GIS) in Bukhansan National Park. Correlation and factor analysis were analyzed to estimate probability distribution. Coefficients were calculated by logistic regression analysis. Correlation coefficients were significantly at the 0.01 level. Commonality of elevation, annual mean temperature, warmth index and potential evapotranspiration were high value, but topographic index was low value. Communities of over the 0.3 points distribution probability, Quercus mogolica communities were the largest area, 76,940,900 $m^2$, Pinus densiflora communities area was 860,800 $m^2$, Quercus acutissima communities area was 500,100 $m^2$ and Quercus variabilis communities area was 1,000 $m^2$, but Q. aliena, Q. serrata, Carpinus laxiflora and Zelcova serrata communities was not appeared. Therefore, potential national vegetation of Bukhansan national park was likely to be Q. mongolica community, P. densiflora community, Q. acutissima community and Q. variabilis community.

A Statistic Correlation Analysis Algorithm Between Land Surface Temperature and Vegetation Index

  • Kim, Hyung-Moo;Kim, Beob-Kyun;You, Kang-Soo
    • Journal of Information Processing Systems
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    • v.1 no.1 s.1
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    • pp.102-106
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    • 2005
  • As long as the effective contributions of satellite images in the continuous monitoring of the wide area and long range of time period, Landsat TM and Landsat ETM+ satellite images are surveyed. After quantization and classification of the deviations between TM and ETM+ images based on approved thresholds such as gains and biases or offsets, a correlation analysis method for the compared calibration is suggested in this paper. Four time points of raster data for 15 years of the highest group of land surface temperature and the lowest group of vegetation of the Kunsan city Chollabuk_do Korea located beneath the Yellow sea coast, are observed and analyzed their correlations for the change detection of urban land cover. This experiment based on proposed algorithm detected strong and proportional correlation relationship between the highest group of land surface temperature and the lowest group of vegetation index which exceeded R=(+)0.9478, so the proposed Correlation Analysis Model between the highest group of land surface temperature and the lowest group of vegetation index will be able to give proof an effective suitability to the land cover change detection and monitoring.

Use of Geographic Information System Tools for Improving Atmospheric Emission Inventories of Biogenic Source

  • Shin, Tae-joo
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • v.3 no.3
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    • pp.151-158
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    • 1999
  • Biogenic source emissions refer to naturally occuring emissions from vegetation, microbial activities in soil, lightening, and so on. Vegetation is especially known to emit a considerable amout of volatile organic compounds into the atmosphere. Therefore, biogenic source emissions are an important input to photochemical air quality models. since most biogenic source emissions are calculated at the county-level, they should be geographically allocated to the computational grid cells of a photochemical air quality model prior to running the model. The traditional method for the spatial allocation for biogenic source emissions has been to use a "spatial surrogate indicator" such as a county area. In order to examine the applicability of such approximations, this study developed more detailed surrogate indicators to improve the spatial allocation method for biogenic source emissions. Due to the spatially variable nature of biogenic source emissions, Geographic Information Systems(GIS) were introduced as new tools to develop more detailed spatial surrogate indicators. Use of these newly developed spatial surrogate indicators for biogenic source emission allocation provides a better resolution than the standard spatial surrogate indicator.indicator.

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NIR Band Extraction for Daum Image and QuickBird Satellite Imagery and its Application in NDVI (Daum 이미지와 QuickBird 위성영상에 의한 NIR 밴드 추출과 정규화식생지수 (NDVI)에의 적용)

  • Na, Sang-Il;Park, Jong-Hwa
    • Journal of The Korean Society of Agricultural Engineers
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    • v.51 no.4
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    • pp.37-42
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    • 2009
  • This study extracted Near Infrared (NIR) band using Image Processing Technology (IPT), and calculated Normalized Difference Vegetation Index (NDVI). Aerial photography from Daum portal in combination with high resolution satellite image was employed to improve vegetation sensitivity by extracting NIR band and calculating NDVI with comparison to QuickBird result. The extracted NIR band and NDVI through IPT presented similar distribution pattern. In addition, a regression analysis by land cover character showed high correlation paddy and forest Therefore, this approach could be acceptable to acquire vegetation environment information.