• Title/Summary/Keyword: 식생 활력

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Assessment of the Effectr of Closing Trails in Puk'ansan National Park Based on Satellite Image Analysis (인공위성 영상자료를 이용한 북한산국립공원 휴식년제도의 효과 분석)

  • 이혜선;이인성;윤은주
    • Korean Journal of Environment and Ecology
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    • v.13 no.2
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    • pp.153-159
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    • 1999
  • 이 논문은 북한산국립공원에서 1994년부터 실시하고 있는 자연휴식년제도의 효과를 검증하고 추후 휴식년의 적용이 필요한 구간을 파악하기 위하여 인공위성 영상자료를 이용하여 휴식년 적용구간과 그 주변 등산로의 식생활력의 변화를 분석하였다. 이용된 자료는 1988년, 1992년, 1994년, 1996년 9월의 Landsat TM 영상으로, ER Mapper 및 Arc/Info GIS를 이용하여 분석하였고, 식생활력의 측정은 중합차식생지수(NDVI)에 기반한 평균비율(MR)을 이용하였다. 분석결과 휴식년 적용구간의 경우 88년 이후 감소양상을 보이던 식생활력이 휴식년제도가 실시된 94년 이후 뚜렷하게 증가하여 휴식년제도의 실시가 식생활력을 증가시키는 효과가 있었음을 보여주었다. 기타 등산로의 경우는 92년 이후 식생활력이 정체 또는 감소추세를 나타내었으며, 그 중 일부 구간은 식생활력의 저하가 특히 두드러지게 나타나 추후 휴식년제도의 적용이 필요한 구간으로 판단되었다.

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Drone-based Vegetation Index Analysis Considering Vegetation Vitality (식생 활력도를 고려한 드론 기반의 식생지수 분석)

  • CHO, Sang-Ho;LEE, Geun-Sang;HWANG, Jee-Wook
    • 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.

Utility of Separable Evaluation of the Vegetation Cover Rates and Vegetation Vigor Using Spectral Reflectance (분광반사 특성을 이용한 식생피복율과 활력도 분리평가의 효용성)

  • Choi, Seung-Pil;Park, Jong-Sun;Kim, Hyung-Jin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.4
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    • pp.393-399
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    • 2005
  • Since vegetations are near the wavelength range in 700nm and have absorbent as well as reflective wavelength ranges, there is a much difference in terms of its reflection rate. There are currently many researches on vegetation index being conducted in order to apply the remote-sensing technology to vegetations rising their characteristics of absorbent and reflective wavelength ranges. Normalized Difference Vegetation Index (NDVI) and Perpendicular Vegetation Index (PVI) have been most commonly used. It is usually the evaporation, carbon-dioxide consumption, and chlorophyll density that represent the activity of vegetation, but chlorophyll density is the most commonly used among them. Since the red wavelength range used to obtain the NDVI and PVI has a strong extinction of chlorophyll, it is also useful to test chlorophyll density. The NDVI, in particular, is used to identify the vegetation conditions summarily, and thus, is suitable for initiative researches. Nevertheless, since these vegetation index produce mixed information of the Vegetation vigor and vegetation cover, it is essential to monitor a wavelength range that is independent from redundancy of the Vegetation vigor and vegetation cover. Although many vegetation indices have evaluated both the vegetation vigor and Vegetation cover simultaneously, this research intends to emphasize the utility of separable evaluations of the Vegetation vigor and Vegetation Cover rate through an experiment with grasses. As a result of evaluating vegetation index using spectral reflectance, a separable evaluation of the vegetation vigor and cover has been found more useful.

Korean Vegetation Types Using NOAA/AVHRR Data (인공위성(NOAA/AVHRR) 영상자과에 의한 한반도 식생분포에 관한 연구)

  • 김동실
    • Journal of the Korean Geographical Society
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    • v.35 no.1
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    • pp.39-51
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    • 2000
  • 본 연구는 원격탐사 기법을 이용하여 북한 지역을 포함한 한반도 전지역을 대상으로 식생활력도(vegetation activity)의 시계열적 변화를 모니터링하고, 식생지수의 연중변화 특성을 이용하여 한반도의 식생 분포도를 작성하는데 그 목적이 있다. 1997년 4월부터 11월까지 8개월 동안 NOAA-14 위성에서 수신된 AVHRR 자료를 수집하여 정규 식생지수(Nomalized Difference Vegetation Index)를 구하고 이들을 MVC(Maximum Value Composite) 방법으로 조합하여 월별 NDVI 합성도를 작성하여 식생활력도의 시계열 변화를 고찰하였다. 또한 식물의 생장시기인 5월부터 10월까지의 NDVI를 무감독 분류하여 한반도의 식생분포 유형을 도시.나대지가 4.49%, 초지 4.49%, 경작지 27.54%, 활엽수림 25.61%, 침엽수림 38.22%로 나타났다.

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工業地域과 中心地의 階層化方法에 關한 檢討

  • 최기엽
    • Journal of the Korean Geographical Society
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    • v.9
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    • pp.67-75
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    • 1974
  • The vegetation activity of the Korean peninsula has been monitored temporal variations through a satellite remote sensing and the vegetation index was used to set up the vegetation data map of Korea. The AVHRR data sent by the NOAA-14 satellite was collected for 8 months between April and November, 1997 to calculate the normalized difference vegetation index(NDVI) which was combined the MVC(Maximum Value Composite). Then this NDVI composite map was prepared to review the temporal variations in the vegetation activity. The NDVI has been subject to the unsupervised classification for the growing season between May and October. And the vegetation type is divided into five classes ; urban, bare soil, grass, farming land, deciduous forest and coniferous forest. The unsupervised classificaion of vegetation distribution in the Korean Peninsula shows that the urban and bare soil take 4.14% of total national area, grass 4.49%, farming land 27.54%, deciduous forest 25.61% and coniferous forest 38.22%.

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Vegetation of Mok-do Island: Its Spatial Distribution and Monitoring for Vegetation Conservation (목도의 식생: 그 보전을 위한 식물군락의 공간분포와 모니터링)

  • Kim, Jong-Won;Jegal, Jae-Cheol;Lee, Byeong-Yeol;Lee, Yul-Gyeong;Mun, Gyeong-Hui
    • The Korean Journal of Ecology
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    • v.24 no.5
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    • pp.259-265
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    • 2001
  • This paper describes the species composition of the remnant forest vegetation (Natural Monument No. 65) in the Mok-do island of Ulsan city and its relation to ecological long-term monitoring. Syntaxonomical classification and actual vegetation map were depicted in very fine scale 1:800 for better understanding spatial distribution and vitality of individual trees and communities. A total of 111 species and 13 plant communities occurred on the 19,166 ㎡ area. Evergreen broad-leaved forest of Machilus thunbergii is a representative vegetation type, which covers 37.4% of the island area. Evergreen coniferous forest of Pinus thunbergii covers 18.6% of the island. These two forests occurred at different parts of the island, i.e., the former at the rearward and the later at the frontward of island against marine. 95.7% of trees analysed was determined as critically and absolutely monitored individuals. From a conservation perspective the Mok-do vegetation is extremely vulnerable, which must be long-termly monitored using an assessment of tree vitality and a fine scale map of vegetation.

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Analysis of the Spatial and Temporal Variability of NDVI Time Series in South Korea (남한지역 정규식생지수의 시공간 변화도 분석)

  • Kim, Gwang-Seob;Yim, Tae-Kyung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.119-122
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    • 2005
  • 정규식생지수는 일반적으로 식생의 활력도를 나타나는 지표로서 널리 사용되고 있다. 최근에는 정규식생지수가 특정지역의 강우량과 온도의 계절 및 경년변화와 어떤 상관관계를 가지며 기후변화는 식생지수에 어떠한 영향을 미치는지 등에 관한 연구가 활발히 수행되고 있다. 본 연구에서는 1981년부터 2001년까지의 NOAA/AVHRR 영상으로부터 계산된 남한지역 정규식생지수의 주성분 분석을 통해 자료의 공간변화패턴을 분석하고 경험적 직교함수를 이용하여 시간적 변화 양상을 파악하였다. 분석결과 정규식생지수의 공간변화도는 첫 주성분에 의하여 약 $60\%$ 정도 설명되어지며 첫 주성분은 남한지역의 지형 자료 패턴을 따르고 두 번째 주성분은 전체 변화도의 약 $17\%$를 나타내며 강한 남북기울기를 보여주는 것은 계절변화와 상관한 위도변화에 따른 정규식생지수의 변화를 나타낸다. 그리고 소양강댐 및 안동댐 유역의 정규식생지수, 강우량 및 유입량 상관관계 분석 결과 정규식생지수의 계절변화와 경년변화는 강우량의 변화에 그리 민감하지 않은 것으로 나타났다.

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Comparison of Normalization Difference Vegetation Index due to difference in Landsat satellite sensor (Landsat 위성의 센서 차이에 의한 정규식생분포지수 비교)

  • Kwak, Jaehwan;Bhang, Kon Joon;Lee, Jin-Duk
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.135-136
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    • 2014
  • 지구온난화에 따른 이상기후현상을 해결하기 위해 인공위성영상을 이용한 식생의 변화유무와 특성파악이 중요하다. 특히, 인공위성의 근적외선 영역과 가시광선 영역을 이용한 정규식생분포지수는 식생의 활력도를 파악하고 변화유무를 판단하는 지표로서 많이 사용되고 있다. 하지만, 최근 발사된 Landsat 8 OLI의 경우 정규식생분포지수에 영향을 주는 근적외선 밴드의 파장대역이 기존의 TM/ETM+ 위성의 근적외선 밴드의 파장대역보다 감소하였다. 또한 이러한 파장대역 변화에 의한 정규식생분포지수의 차이에 대해서 공식적으로 연구한 사례가 없다. 그러므로 본 연구는 Landsat 8 OLI 위성영상과 Landsat 7 ETM+ 위성영상을 식생이 활발한 여름철(9월)과 그렇지 않은 겨울철(1월)의 영상을 각각 취득하여, 식생, 도심지, 도로, 농경지, 나지의 5가지 항목으로 분류하여 각각의 정규식생분포지수를 비교해보고 상관관계분석을 시도하였다.

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Ecological Buffer Analysis of Western DMZ and Vicinity using Logistic Function Derived from TVI-Distance Curve (TVI-거리함수를 이용한 서부 DMZ 및 민통지역의 생태적 보전폭원 조사)

  • Kim, Sang-Wook
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.4
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    • pp.95-104
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    • 2006
  • The DMZ is a 248km long thin green line which has various landscapes of fields, hills and mountains. This study focused on western part of DMZ and vicinity which consist of abandoned rice paddy, wetlands and fields. The main purpose of this study is to detect the vegetation vitality from the western part of MDL to DMZ vicinity and identify and quantify ecological buffer(ecotone) width adopting logistic function derived from 'Vegetation Index-distance curve' using an Landsat ETM+ image acquired on June of 2002. Green leaf vegetation was quantified to identify the ecotone buffer in western DMZ and vicinity(civilian control area: CCA) using Transformed Vegetation Index(TVI) which is one of common measurement among various indices. Vegetation measurement from Military Demarcation Line(MDL) to vicinity area was investigated at 500m intervals to 10kms of southern and northern part of western DMZ and vicinity. The Logistic function models the sigmoid curve of growth with three stages of growth of initial competition and maturity. In the TVI-distance logistic curve, the maturity is high vegetation vitality, the competition is vitality changing, and the initial is low vitality. In the TVI-distance curve, maturity area of high TVI value is core area for ecological conservation, and the competition area between inflection points can be an ecotone(ecological buffer). In case of southern part, maximum TVI value is 221.92 and minimum is 207.16, and maximum TVI of northen part is 215.32 and minimum is 188.35. That means forest devastation of north Korean part of DMZ and vicinity is severer than that of south Korea. The width of core area for ecological conservation is 2,311m, and ecotone in the southern part is 5,339m, so minimum width from MDL for ecological conservation can be computed as 7,651m. In case of Northern part, the width of core area is 1,841m, and ecotone buffer is 5,014m, so ecological conservation width can be estimated as 6,855m. In case of northen part, width of estimated core area is less than that of DMZ width, which means ecological disturbance is very severe in northern part of western DMZ.

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Forest Damage Detection Using Daily Normal Vegetation Index Based on Time Series LANDSAT Images (시계열 위성영상 기반 평년 식생지수 추정을 통한 산림생태계 피해 탐지 기법)

  • Kim, Eun-sook;Lee, Bora;Lim, Jong-hwan
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1133-1148
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    • 2019
  • Tree growth and vitality in forest shows seasonal changes. So, in order to detect forest damage accurately, we have to use satellite images before and after damages taken at the same season. However, temporal resolution of high or medium resolution images is very low,so it is not easy to acquire satellite images of the same seasons. Therefore, in this study, we estimated spectral information of the same DOY using time-series Landsat images and used the estimates as reference values to assess forest damages. The study site is Hwasun, Jeollanam-do, where forest damage occurred due to hail and drought in 2017. Time-series vegetation index (NDVI, EVI, NDMI) maps were produced using all Landsat 8 images taken in the past 3 years. Daily normal vegetation index maps were produced through cloud removal and data interpolation processes. We analyzed the difference of daily normal vegetation index value before damage event and vegetation index value after event at the same DOY, and applied the criteria of forest damage. Finally, forest damage map based on daily normal vegetation index was produced. Forest damage map based on Landsat images could detect better subtle changes of vegetation vitality than the existing map based on UAV images. In the extreme damage areas, forest damage map based on NDMI using the SWIR band showed similar results to the existing forest damage map. The daily normal vegetation index map can used to detect forest damage more rapidly and accurately.