• Title/Summary/Keyword: Vegetation class

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ECOSYSTEM MAP over North-east Asia using SPOT/VEGETATION 10-day synthesis data (SPOT/VEGETATION 반사도 자료를 이용한 동북아시아의 생태기후지도)

  • Park Youn-Young;Han Kyung-Soo
    • Proceedings of the KSRS Conference
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    • 2006.03a
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    • pp.214-217
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    • 2006
  • 전 지구영역에 대해 1km 의 해상도로 제공되는 새로운 개념으로 완성된 지표 변수데이터 베이스인 Ecoclimap-1이 소개 된 바 있다. 이것은 기상과 기후의 모델에서 토양과 식물과 대기 사이의 이동 모식을 설명하기 위해 고안 되었으며, 이러한 Ecoclimap-1은 토지피복지도와 기후기도를 중첩하여 얻어진 Ecosystem 지도를 기본 주제도로 사용한다. 하지만 중첩한 결과 같은 class 에 포함되더라도 내부 class 에서의 식생의 시간 변동성은 여전히 높게 나타난다. 이와 달리 Ecoclimap-2는 새로운 방법으로, SPOT/VEGETATION S10 NDVI 자료를 이용하여 토지피복을 보다 동질의 하위 집단으로 분류 한다. 본 연구 에서는 이러한 Ecoclimap-2의 일환으로 동북 아시아 영역의 생태기후지도를 제공하고자 한다. 이러한 Ecosystem map 은 앞으로의 기후 모델 연구에 있어 중요한 base map 으로 사용 되어질 것으로 보이며 또한 생태계모델, 기상 모델의 중요한 input 자료로서 쓰여 질 것으로 사료 된다.

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A Study on the Injury of Nature Environment in Chongnung Valley of Mt. Puk'an -In the Case of Trail and Rest Area- (북한산 정릉계곡의 자연환경훼손에 관한 연구 -등산로와 휴식처를 중심으로-)

  • 최송현;이경재
    • Journal of the Korean Institute of Landscape Architecture
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    • v.21 no.4
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    • pp.83-99
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    • 1994
  • To compare basic information and to inspect impacts situations between 1987 and 1992, this study was executed in Chongnung valley of Mt. Puk'an. And to provide basic informations through the change of plant species diversity, some methods were applied and analyzed such as the degree of environmental impacts and belt-transect method. The results were summarized as follows; 1. In order to find environmental impacts by visitor, the degree of environmental impacts class that was proposed by Kwon(1991) was implicated. In 4 sites, total area of over impact class 2 is 86,692$m^2$ and area of impacts class 4-6 that is impossible to recover naturally is 36,856$m^2$. Totally, the impacted area was profounded qualitatively and quantitatively against 1987's. 2. In the vegetation change by visitor's impacts, species diversity was rapidly decreased as nearer the campsite and trail. And in the basal area and coverage, lower layer species was sensitively changed. Trampling-resistent species is as following; Robinia pseudoacacia, Lespedeza cyrtobotrya, Staphylea bumalda, Clerdendron trichotomum, Stephanandra incisa, Rubus crataegifolius, Lespedeza maximowiczii, Weigela subsessilis, Rosa multiflora, Zanthoxylum schinifolium, Lindera obtusiloba, Callicarpa japonica, Sorbus alnifolia, Symplocos mongolica and so on. In the results of soil hardness test, that was decreased as far away from campsite and trail. 3. In the 4 sites selected in Chongnung valley of Puk'ansan Natioal Park, management plans was largely divided 4 category, such as trail improvement, facilities setting, ecotone vegetation establishment, and vegetation rehabilitation. And a suggestion was provided to each site.

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Some Proposed Indices of Structural Regeneration of Secondary Forests and Their Relation to Soil Properties

  • Aweto, Albert Orodena
    • Journal of Forest and Environmental Science
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    • v.37 no.4
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    • pp.292-303
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    • 2021
  • Studies that relate the structure of tropical regrowth vegetation to soil properties are generally lacking in the literature. This study proposes three indices for assessing the structural regeneration of secondary forests. They are: (1) the tree diameter class, (2) the plant life form and (3) the woody/herbaceous plants ratio indices. They were applied to assess the regeneration status of forest regrowth vegetation (aged 1-10 years), derived savanna regrowth vegetation in south western Nigeria, and to secondary forests in different stages of succession in Columbia and Venezuela, Bolivia, Mexico in South and Central America and semi-arid savanna in Ethiopia and seasonal deciduous forest successional stages in India. In all the cases, the indices increased with increasing age of regrowth vegetation and hence, with increasing structural complexity of regenerating vegetation. The tree diameter class index increased from 32.1% in a 9-year secondary forest to 69.0% in an 80-year-old secondary forest in Columbia and Venezuela and from 0.4% in a 1-year fallow to 20.9% in 10-year regrowth vegetation in southwestern Nigeria. In semi-arid savanna in northern Ethiopia, the woody/herbaceous plants ratio index increased from 18.1% in a 5-year protected grazing enclosure to 75.1% in 15-year protected enclosure, relative to the status of 20-year enclosure. The indices generally had correlations of 0.6-0.90 with species richness and Simpson's/Margalef's species diversity, implying that they are appropriate measures of ecosystem development over time. The proposed indices also had strong and positive correlations with soil organic carbon and nutrients. They are therefore, significant indicators of fertility status.

Early Surgical Intervention of Active Infective Endocarditis (심내막염 환자의 수술적 치료)

  • 박국양
    • Journal of Chest Surgery
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    • v.21 no.1
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    • pp.121-130
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    • 1988
  • During one year period from Sep. 1986 to Sep. 1987, we have experienced 6 cases of infective endocarditis requiring surgical interventions. All 6 patients had class IV or V cardiac disability at the time of surgery. The indication for surgery was rapidly progressive congestive heart failure in all cases. Four patients underwent aortic valve replacement including one double valve replacement. Two other patients required other surgical procedures, removal of large left atrial vegetation mass in one patient and excision of destroyed pulmonary valve and aortic vegetation in the other patient. Two patients died; one of mitral annulus rupture after release of aortic clamp and the other of mediastinal bleeding 3 months after replacement of aortic valve. Three out of 4 survivors are in NYHA Class I and the remaining patient is in Class II. We emphasize that early operative intervention is life-saving in patients with persistent or progressive congestive heart failure, irrespective of the activity of the infective process or the duration of antibiotic therapy.

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Hwasan Wetland Vegetation in Gunwi, South Korea: with a Phytosociological Focus on Alder (Alnus japonica (Thunb.) Steud.) Forests (군위군 화산습지의 식생: 오리나무림을 중심으로)

  • Kim, Jong-Won;Lee, Seung-eun;Lee, Jung-a
    • Korean Journal of Ecology and Environment
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    • v.50 no.1
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    • pp.70-78
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    • 2017
  • The Hwasan wetland vegetation is observed at mountain basin (644~780 m a.s.l.) where had become a potential land for indigenous people since prehistoric period. We phytosociologically investigated old-growth alder (Alnus japonica) forests using the $Z\ddot{u}rich$-Montpellier School's method and analyzed their spatial distribution pattern by actual vegetation map. Species performance was determined by using coverage and r-NCD. Viburnum opulus var. calvescens-Alnus japonica community syntaxonomically belonging to the Alnetea japonicae was first described and composed of three subunits: Salix koreensis subcommunity, typical subcommunity, and Pyrus ussuriensis subcommunity. Present plant community was compared with vicariant syntaxa such as Molinia japonica-Alnus japonica community, Rhamno nipponicae-Alnetum japonicae, and Aceri-Salicetum koreensis. Hwasan's alder forest, an alluvial terrace vegetation type on valley fan in the montane zone, is evaluated as vegetation class [I], which is a sort of benchmark plant community potentially on mountain wetlands in southeastern part of the Korean Peninsula. Simultaneously we suggested an establishment of the national strategy for habitat conservation free from hydrologically radical transform due to military utilization.

Deep learning-based monitoring for conservation and management of coastal dune vegetation (해안사구 식생의 보전 및 관리를 위한 딥러닝 기반 모니터링)

  • Kim, Dong-woo;Gu, Ja-woon;Hong, Ye-ji;Kim, Se-Min;Son, Seung-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.25 no.6
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    • pp.25-33
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    • 2022
  • In this study, a monitoring method using high-resolution images acquired by unmanned aerial vehicles and deep learning algorithms was proposed for the management of the Sinduri coastal sand dunes. Class classification was done using U-net, a semantic division method. The classification target classified 3 types of sand dune vegetation into 4 classes, and the model was trained and tested with a total of 320 training images and 48 test images. Ignored label was applied to improve the performance of the model, and then evaluated by applying two loss functions, CE Loss and BCE Loss. As a result of the evaluation, when CE Loss was applied, the value of mIoU for each class was the highest, but it can be judged that the performance of BCE Loss is better considering the time efficiency consumed in learning. It is meaningful as a pilot application of unmanned aerial vehicles and deep learning as a method to monitor and manage sand dune vegetation. The possibility of using the deep learning image analysis technology to monitor sand dune vegetation has been confirmed, and it is expected that the proposed method can be used not only in sand dune vegetation but also in various fields such as forests and grasslands.

The extraction method for the best vegetation distribution zone using satellite images in urban area

  • Jo, Myung-Hee;Kim, Sung-Jae;Lee, Kwang-Jae
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.908-910
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    • 2003
  • In this paper the extraction method for the best suitable green vegetation area in urban area, Daegu, Korea, was developed using satellite images (1994, 1999, Landsat TM). For this, the GIS overlay analysis of GVI (Green Vegetation Index), SBI (Soil Brightness index), NWI (None-Such wetness Index) was performed to estimate the best suitable green vegetation area. Also, the statistical documents, algorithm and Tasseled-Cap index were used to recognize the change of land cover such as cultivation area, urban area, and damaged area. Through the result of this study, it is possible to monitor the large sized reclamation of land by drainage or damaged area by forest fires. Moreover, information with the change of green vegetation and the status of cultivation by GVI, but also moisture content by percentage by NWI and surface class by SBI can be obtained.

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Monitoring of Forest Burnt Area using Multi-temporal Landsat TM and ETM+ Data

  • Lee, Seung-Ho;Kim, Cheol-Min;Cho, Hyun-Kook
    • 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..

HAZARD ASSESSMENT OF CURRENT STATE OF VEGETATION DEGRADATION USING GIS, A CASE STUDY: SADRA REGION, IRAN

  • Masoudi, Masoud;Amiri, E.
    • Journal of Ecology and Environment
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    • v.36 no.1
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    • pp.49-56
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    • 2013
  • The entire land of Southern Iran faces problems arising out of various types of land degradation of which vegetation degradation forms one of the major types. The present work introduces a model developed for assessing the current status of hazard of vegetation degradation using Geographic Information System (GIS). This kind of assessment differs from those assessments based on vulnerability or potential hazard assessments. The Sadra watershed which covers the upper reaches of Marharlu basin, Fars Province, has been chosen for a hazard assessment of this type of degradation. The different kinds of data for indicators of current status of vegetation degradation were gathered from collecting of field data and also records of the governmental offices of Iran. Taking into consideration three indicators of current status of vegetation degradation the model identifies areas with different hazard classes. By fixing the thresholds of severity classes of the three indicators including per cent of vegetation cover, biomass production and ratio of actual biomass to potential biomass production, a hazard map for each indicator was first prepared in GIS. The final hazard map of current status of vegetation degradation was prepared by intersecting three hazards in the GIS. Results show areas under severe hazard class have been found to be widespread (89 %) while areas under moderate and very severe hazard classes have been found less extensive in the Sadra watershed. The preparation of hazard maps based on the GIS analysis of these indicators will be helpful for prioritizing the areas to initiate remedial measures.

Ecoclimatic Map over North-East Asia Using SPOT/VEGETATION 10-day Synthesis Data (SPOT/VEGETATION NDVI 자료를 이용한 동북아시아의 생태기후지도)

  • Park Youn-Young;Han Kyung-Soo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.8 no.2
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    • pp.86-96
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    • 2006
  • Ecoclimap-1, a new complete surface parameter global database at a 1-km resolution, was previously presented. It is intended to be used to initialize the soil-vegetation- atmosphere transfer schemes in meteorological and climate models. Surface parameters in the Ecoclimap-1 database are provided in the form of a per-class value by an ecoclimatic base map from a simple merging of land cover and climate maps. The principal objective of this ecoclimatic map is to consider intra-class variability of life cycle that the usual land cover map cannot describe. Although the ecoclimatic map considering land cover and climate is used, the intra-class variability was still too high inside some classes. In this study, a new strategy is defined; the idea is to use the information contained in S10 NDVI SPOT/VEGETATION profiles to split a land cover into more homogeneous sub-classes. This utilizes an intra-class unsupervised sub-clustering methodology instead of simple merging. This study was performed to provide a new ecolimatic map over Northeast Asia in the framework of Ecoclimap-2 global database construction for surface parameters. We used the University of Maryland's 1km Global Land Cover Database (UMD) and a climate map to determine the initial number of clusters for intra-class sub-clustering. An unsupervised classification process using six years of NDVI profiles allows the discrimination of different behavior for each land cover class. We checked the spatial coherence of the classes and, if necessary, carried out an aggregation step of the clusters having a similar NDVI time series profile. From the mapping system, 29 ecosystems resulted for the study area. In terms of climate-related studies, this new ecosystem map may be useful as a base map to construct an Ecoclimap-2 database and to improve the surface climatology quality in the climate model.