• Title/Summary/Keyword: vegetation map

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The Structure of an lsolated Evodia daniellii Community (고립된 쉬나무 군락의 구조)

  • 이종운
    • Journal of Life Science
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    • v.7 no.1
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    • pp.24-29
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    • 1997
  • The actual vegetation map, community composition and vegetation structure of an isolated Evodia daniellii community due to the urbanization were investigated. At the habitat of Evodia daniellii, east cliff of Mt. Sudo, I made 30 plots of 100m$^{2}$ and adjusted 15 times the aspect of vegetation in whole growing season. On the base of these data, synoptic vegetation table was constructed. The constellation diagram by the calculation of ${\chi}$$^{2}$-value based on the vegetation data shown three vegetation groups pf Albizzia julibrissin with 10 species, Zanthoxylum shinifolium with 12 species and Ulmus parvifolia with 6 species. Through the DBH measurement of 5 major tress, we found that Ailanthus altissima, Paulownia tomentosa and Zelkova serrata are dominant in present, but it will be change by Evodia daniellii.

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Actual Vegetation Distribution Status and Ecological Succession in the Deogyusan National Park (덕유산국립공원 현존식생 분포현황 및 천이 연구)

  • Kim, Hyoun-Sook;Lee, Sang-Myong;Song, Ho-Kyung
    • Korean Journal of Environment and Ecology
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    • v.25 no.1
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    • pp.37-46
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    • 2011
  • This study was written about the actual vegetation map by researchig current vegetation and on-site vegetation in the Deogyusan National Park. Current vegetation patterns were classified into 42 types according to correlation. And Quercus mongolica forest was 39.08% out of the total forest vegetation, and was dispersed the most widely. Next were Q. variabilis, Pinus densiflora, and Fraxinus mandshurica forests in order, so that the forests of Deogyusan are different from those of another national parks in that F. mandshurica forest is more widely dispersed. Forest vegetation of Deogyusan national park is broadly classified into three types: deciduous broad-leaved forest (Quercus forest and valley forest), coniferous forest(P. densiflora forest), and sub-alpine forest(Taxus cuspidata forest, Abies koreana, Rhododendron schlippenbachii shrub-forest, and prairie). Distribution of DBH of Q. mongolica and Q. variabillis had a higher frequency of young individuals and middle individuals, Q. serrata and Carpinus laxiflora had a higher frequency of young individuals, suggesting a continuous domination of these species over the other species for the time being. In contrast, F. mandshurica appeared limited to the valley of the sheet and a higher frequency of young individuals, suggesting a continuous domination of these species the development of a climax forest terrain. P. densiflora, Betula davurica, Cornus controversa, B. costata, A. koreana and T. cuspidata had a formality distribution, suggesting a continuous domination of these species over the other species for the time being.

Classification and Spatial Distribution of Forest Vegetation Types in Yokjido Island, Korea (욕지도(경남) 산림식생 유형구분과 공간분포 특성)

  • Lee, Bora;Lee, Ho-Sang;Kim, Jun-Soo;Cho, Joon-Hee;Oh, Seung-Hwan;Cho, Hyun-Je
    • Journal of Korean Society of Forest Science
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    • v.111 no.3
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    • pp.345-356
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    • 2022
  • Yokjido is a 15-km2 inhabited island located at the tip of the southeastern coast of the Korean Peninsula. Its forest is mostly composed of substitutional vegetation. Our aim was to provide basic information necessary for the conservation and management of the forest vegetation in Yokjido. We classified the types of existing vegetation using methods of the Zurich-Montpellier school of phytosociology. The resulting vegetation map shows the dominant tree species in the top canopy-layer. A total of 8 vegetation types were identified, which were arranged into a vegetation unit hierarchy of 2 communities, 4 sub-communities, 6 variants, and 2 subvariants. Evaluations of each type showed large and small differences in floristic composition, which reflect anthropogenic influences, site conditions, succession stages, and the establishment period. Moreover, vegetation types differed significantly in terms of species diversity indices; in particular, overall species richness, species diversity, and species evenness tended to increase significantly as the elevation increased. The herbaceous plant species showed the highest positive (+) correlation to x. These results were consistent with those of McCain, who reported that species diversity increases in mountainous areas with relatively low elevations due to the mid-domain effect. The forest succession in Yokjido will potentially enter a mixed-forest stage and then proceed to become an all-evergreen broad-leaved forest.

How to utilize vegetation survey using drone image and image analysis software

  • Han, Yong-Gu;Jung, Se-Hoon;Kwon, Ohseok
    • Journal of Ecology and Environment
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    • v.41 no.4
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    • pp.114-119
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    • 2017
  • This study tried to analyze error range and resolution of drone images using a rotary wing by comparing them with field measurement results and to analyze stands patterns in actual vegetation map preparation by comparing drone images with aerial images provided by National Geographic Information Institute of Korea. A total of 11 ground control points (GCPs) were selected in the area, and coordinates of the points were identified. In the analysis of aerial images taken by a drone, error per pixel was analyzed to be 0.284 cm. Also, digital elevation model (DEM), digital surface model (DSM), and orthomosaic image were abstracted. When drone images were comparatively analyzed with coordinates of ground control points (GCPs), root mean square error (RMSE) was analyzed as 2.36, 1.37, and 5.15 m in the direction of X, Y, and Z. Because of this error, there were some differences in locations between images edited after field measurement and images edited without field measurement. Also, drone images taken in the stream and the forest and 51 and 25 cm resolution aerial images provided by the National Geographic Information Institute of Korea were compared to identify stands patterns. To have a standard to classify polygons according to each aerial image, image analysis software (eCognition) was used. As a result, it was analyzed that drone images made more precise polygons than 51 and 25 cm resolution images provided by the National Geographic Information Institute of Korea. Therefore, if we utilize drones appropriately according to characteristics of subject, we can have advantages in vegetation change survey and general monitoring survey as it can acquire detailed information and can take images continuously.

Forest Vegetation of Southern Area of Mt. Naejang National Park, Korea (내장산 남부지역의 삼림식생)

  • Kil, Bong-Seop;Kim, Jeong-Un;Kim, Young-Sik
    • The Korean Journal of Ecology
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    • v.23 no.3
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    • pp.231-240
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    • 2000
  • The forest vegetation of southern area of Mt. Naejang National Park, Korea was classified into nine communities of Zelkova serrata, Torreya nucifera, Quercus aliena, Carpinus tschonoskii, C. laxifora Q. variabilis, Q. serrata, Q. mongolica and Pinus densiflora based on the floristic composition and physiognomy Q. mongolica community distributes at elevation above 600 m in sea level, Q. variabilis community on xeric ridges and Q. serrata community on xeric slopes at elevation 250 m∼600 m, C. tschonoskii community on mesic sites and C. laxiflora community on xeric ones at elevation 200 m∼400 m,Q. aliena community on mesic slopes and Zelkova serrata community on mesic stony slopes at stream sides, Torreya nucifera community around the Paegyang temple and Pinus densiflora community on lower parts or ridges of mountain. The actual vegetation map of the area was made in scale 1: 25,000, including above mentioned nine plant communities.

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Identification of two common types of forest cover, Pinus densiflora(Pd) and Querqus mongolica(Qm), using the 1st harmonics of a Discrete Fourier Transform

  • Cha, Su-Young;Pi, Ung-Hwan;Yi, Jong-Hyuk;Park, Chong-Hwa
    • Korean Journal of Remote Sensing
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    • v.27 no.3
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    • pp.329-338
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    • 2011
  • The time-series normalized difference vegetation index (NDVI) product has proven to be a powerful tool to investigate the phenological information because it can monitor the change of the forests with very high time-resolution, This study described the application of the DFT analysis over the 9 year MODIS data for the identification of the two types of vegetation cover, Pinus densiflora(Pd) and Querqus mongolica(Qm) which are dominant species of evergreen and broadleaved deciduous forest, respectively, The total number of samples was 5148 reference cycles which consist of 2160 Pd and 2988 Qm. They were extracted from the pixel-based MODIS scenes over the 9 years from 2000 to 2008 of South Korea. The DFT analysis was mainly focused on the 0th and $1^{st}$ harmonic components, each of which represents the mean value and the variation amplitude of the NDVI over the years, respectively. The $0^{th}$ harmonic values of the vegetation Pd and Qm averaged over the 9 years were 0.74 and 0.65, respectively. This implies that Pd has a higher NDVI than Qm. Similarly obtained $1^{st}$ harmonic values of Pd and Qm were 0.19 and 0.27, respectively. This can be intuitively understood considering that the seasonal variation of Qm is much larger than Pd. This distinctive difference of the $1^{st}$ harmonic value has been used to identify evergreen and deciduous forests. Overall agreement between the Fourier analysis-based map and the actal vegetation map has been estimated to be as high as 75%. This study found that the DFT analysis can be a concise and repeatable method to separate and trace the changes of evergreen and deciduous forest using the annual NDVI cycles.

An Adjustment for a Regional Incongruity in Global land Cover Map: case of Korea

  • Park Youn-Young;Han Kyung-Soo;Yeom Jong-Min;Suh Yong-Cheol
    • Korean Journal of Remote Sensing
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    • v.22 no.3
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    • pp.199-209
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    • 2006
  • The Global Land Cover 2000 (GLC 200) project, as a most recent issue, is to provide for the year 2000 a harmonized land cover database over the whole globe. The classifications were performed according to continental or regional scales by corresponding organization using the data of VEGETATION sensor onboard the SPOT4 Satellite. Even if the global land cover classification for Asia provided by Chiba University showed a good accuracy in whole Asian area, some problems were detected in Korean region. Therefore, the construction of new land cover database over Korea is strongly required using more recent data set. The present study focuses on the development of a new upgraded land cover map at 1 km resolution over Korea considering the widely used K-means clustering, which is one of unsupervised classification technique using distance function for land surface pattern classification, and the principal components transformation. It is based on data sets from the Earth observing system SPOT4/VEGETATION. Newly classified land cover was compared with GLC 2000 for Korean peninsula to access how well classification performed using confusion matrix.

Phytosociological Studies on the Vegetation of Odong Island, Yeosu (오동도식생에 대한 식물사회학적 연구)

  • Kim, Chul-Soo;Yoon-Seok Jang;Jang-Geun Oh
    • 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.

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Studies on Moor Vegetation of Mt. Daeam, East-Central Korea (대암산 습원의 식생)

  • Choi, Ki-Ryong;Koh, Jae-Kee
    • The Korean Journal of Ecology
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    • v.12 no.4
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    • pp.237-244
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    • 1989
  • The moor vegetation of Daeryong-po on Mt. Daeam, east-central Korea was investigated in July 26th-29th, 1989, It was classified into I community group, 4 communities and 5 subcommunities; Sanguisorba tenuifolia var. alba community group, Sphagnum palustre community. Typical subcommunity, Eleocharis mamillata var. cyclocarpa subcommunity, Carex canescense subcommunity, Carex dispalata community, Spiraea salicifolia community, Geranium eriiostemon var. megalanthum community, Arundinella hirta-Phragmites communis subcommunity, Angelica purpuraefolia subcommunity. According to this classification, the actual vegetation map was made. The distribution of vegetation in this moor was divided characteristically into two areas. One was a typical oligotrophic area characterized by S. palustre community. The other was an area having mesotrophic or eutrophic conditions where its original state was disturbed by inflow of soil particles and removal of peat. It this disturbed area, C. dispalata, S. sibiricus, G. eriostemon var. megalanthum, were invaded.

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Vegetation Height and Age Estimation using Shuttle Radar Topography Mission and National Elevation Datasets (SRTM과 NED를 활8한 산림수고추정 및 수령 추정)

  • Kim Jin-Woo;Heo Joon;Sohn Hong-Gyoo
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.305-309
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    • 2006
  • SAR (Synthetic Aperture Radar) technology, which is not influenced by cloud cover because of using electromagnetic wave of long wavelength, has an advantage in mapping the earth. NASA, recognizing these strong points of SAR, launched SRTM (Shuttle Radar Topography klission), and acquired the topographic information of the earth. SRTM and NED (National Elevation Data) of USGS were used for the research and vegetation height map was produced through differentiating the two data. Correlation between SRTM-NED and planting year was analyzed to see the relationship. Strong correlation was detected and it shows the feasibility of estimating timber age and eventually creating timber age map from SRTM-NED. Additional analyses were conducted to check if the linearity is influenced by regional characteristics and forest uniformity. As results, the correlation between SRTM-NED and timber age is influenced by roughness of the terrain. Overall, this paper shows that timber age estimation using SRTM and NED can be sufficiently practical.

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