• The Korean Journal of Ecology
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• v.23 no.2
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• pp.125-129
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• 2000

Gunung Gede Pangrango National Park is one of the Long-term Ecological Research Site in Indonesia. In the late 1997, the fires have burnt and destroyed nearly 300 ha forest in this park. and G. Masigit was the largest burnt area (250 ha) of nine locations of hot spot recognized. Undergrowth vegetation got the most severe impacts. Almost undergrowth vegetation in various location were totally burnt. However, within three months following burning new seedlings such as Omalanthus populneus, Macaranga, Trema orientalis and Eupatorium appeared in the forest floor- The number of mycoflora recorded in burnt forest was interestingly increased in post forest fires site. Forest fires in G. Masigit had also affected the wild life population and diversity. For example, the number of bird species and the number of soil insects in burnt forest was significantly reduced. The forest fires had also great impact on soil. such as on soil organic contents, bulk density, colour, consistency, permeability and the activity of soil microorganisms.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2007.10a
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• pp.221-225
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• 2007

산림은 탄소저장능력이 있어 대표적인 온실가스인 이산화탄소를 저감시킨다. 따라서 산림의 탄소저장능력 특성을 규명하고 그것을 산림경영에 반영함으로써 온실가스 저감이라는 국제적 노력에 동참하는 수단으로 활용할 수 있다. 일반적으로 임분에서의 탄소저장능력(Carbon Storage, CS)은 식생탄소저장능력(Vegetation Carbon Storage, VCS)과 토양탄소저장능력(Soil Carbon Storage, SCS)의 합으로 볼 수 있다. 본 연구에서는 우리나라 대표적인 자생수종인 소나무림 VCS의 공간분포를 지엽적 범위(spot level)에서 광역적 범위(regional level)로 확대하여 그 특성을 규명하는 방법을 제시하고자 한다. 지엽적 범위의 조사 및 연구에서 VCS는 임목의 흉고직경(Diameter at Breast Height)과 밀접한 관계가 있는 것으로 확인되었다. 이러한 관계와 Quickbird 고해상도 위성영상에서 추출한 소나무림 공간분포도를 이용해 경관범위(landscape level)에서 소나무림 탄소저장능력의 공간분포를 추정할 수 있었으며,그 결과를GIS 및 RS를 통해 광역적 범위로 확대하였다.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.93-96
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• 2009

황사를 일으키는 원인인 사막화는 최근 50년간 중국 인구의 급격한 증가와 대규모 벌목, 개간으로 가속화 확대되고 있고 세계적으로 매우 중요한 문제이다. 따라서 원격탐사를 통해 중국 황사발원지들의 사막화 과정을 모니터링하는 것은 매우 중요하다. 2000년 이전에는 주로 고비사막과 황토고원에서 발생하던 황사가 2000년 이후에는 내몽골 고원과 만주부근에서 빈번하게 발원하고 있다. 본 연구에서는 변화하고 있는 지표를 파악하기 위하여 이전 황사발원지인 고비사막과 새로운 황사발원지로 주목받고 있는 만주에 대한 토지피복 비교 분석을 수행하였다. 이를 위해 1999년 (05.01-10.31)과 2007년 (05.01-10.31)의 SPOT/VEGETATION의 NDVI (Normalized Difference Vegetation Index) 10-day 자료를 이용하여 NDVI패턴을 분석하였다. 또한 식생의 밀도에 따라 level로 분류하여 식생상태를 비교하였다. 그 결과 황사발원지들의 동진추세를 확인하였고, 최근 고비사막의 식생상태가 2000년 이전보다 호전되고, 만주는 이전보다 악화된 식생상태를 보였다. 또한 최근 우리나라에 영향을 주는 황사는 만주와 만주 주변 영향을 같이 받는 경향을 보였다.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.125-127
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• 2004

High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also use geometry and structure information. It can provide an accessible and truly revolutionary approach. Using Beijing Spot 5 high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare lands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach $95.47\%.$ This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.

• Korean Journal of Remote Sensing
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• v.32 no.1
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• pp.61-65
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• 2016

Importance of remote sensing for surface is increased than past. So many countries try to many ways to retrieve surface reflectance. In this study, we study a Bidirectional Reflectance Distribution Function (BRDF) to retrieve surface reflectance. We apply BRDF using observed surface reflectance of SPOT/VEGETATION (VGT-S1) and angular data to get Bidirectional Reflectance Distribution (BRD) coefficients for calculating scattering. And then we apply BRDF in the opposite direction with BRD coefficients and angular data to retrieve Background Surface Reflectance (BSR). The range of BSR is not over $0.4{\mu}m$ (blue), $0.45{\mu}m$ (red), $0.55{\mu}m$ (NIR). And for validation we compare BSR with VGT-S1, there are bias is from 0.0116 to 0.0158 and RMSE is from 0.0459 to 0.0545. As a result, we confirm that BSR is similar to VGT-S1.

• Journal of Korean Society of Forest Science
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• v.83 no.3
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• pp.400-409
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• 1994

To investigate the noise attenuation effects of various vegetation configurations, noise levels on 6 study sites along relatively heavy traffic roads were measured. The differences between noise level measures at 1m and 10m spots from the road range from 10 to 15dB depending upon the attributes of the vegetation. When flat grass land was set to control plot, the maximum noise attenuation at 10m spot was measured at the densely planted shrubs with 5dB difference. The areas on upward slope from the road showed the least attenuation effects. Based on the study results, an appropriate setting for low level residential area noise buffer belt would be densely planted shrubs with at least 3m width and 2m height. To be effective, 3m width soft areas covered with grasses are needed at the front and behind sides of the belt. More than 15dB of the noise level caused by the road traffic would be attenuated with the prescription.

• Korean Journal of Remote Sensing
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• v.29 no.3
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• pp.307-314
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• 2013

The Bidirectional Reflectance Distribution (BRD) effect is critical to interpret the surface information using remotely sensed data. This effect was caused by geometric relationship between sensor, target and solar that is inevitable effect for data of optical sensor. To remove the BRD effect, semi-empirical BRDF models are widely used. It is faster to calculate than physical models and demanded less observation than empirical models. In this study, Ross-Li kernel and Roujean kernel were used respectively in National Aeronautics and Space Administration (NASA) and European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) that are used to compare each other. The semi-empirical model consists of three parts which are isotropic, geometric and volumetric scattering. Each part contained physical kernel and empirical coefficients that were calculated by statistical method. Red and NIR channel of SPOT/VEGETATION product were used to compute Nadir BRDF Adjusted Reflectance (NBAR) over East Asia area from January 2009 to December 2009. S1 product was provided by VITO that was conducted atmospheric correction using Simplified Method of Atmospheric Correction (SMAC). NBAR was calculated using corrected reflectance of red and NIR. Previous study has revealed that Roujean geometric kernel had unphysical values in large zenith angles. We extracted empirical coefficients in three parts and normalized reflectance to compare both BRDF models. Two points located forest in Korea peninsular and bare land in Gobi desert were selected for comparison. As results of time series analysis, both models showed similar reflectance change pattern and reasonable values. Whereas in case of empirical coefficients comparison, different changes pattern of values were showed in isotropic coefficients.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.1
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• pp.113-124
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• 2012

The Confucian culture of the Chosun Dynasty has a great effect on the construction of ByeolSeo gardens. Among them, especially the gardens built in Gyeongsang Province areas, where a great number of Confucian scholars were produced in the beautiful natural environment, have maintained various heritage of Confucian culture established by the scholars. Along with the Nakdong River, we can find so many cultural assets of buildings such as head houses, ByeolSeo gardens, including the literary remains such as administrative certificates, poetry and prose, and records of pavilions, which show the trace of the scholars who followed the instructions of the doctrines of Chu-tzu. The Geumseonjeog located in Punggi County, Gyeongsangbuk Province, which was the ByeolSeo gardens possessed by Geumgye Whang Jun-ryang(1517-1563), who was the governor of the area and one of the representative students of Toigye Lee Whang. The building is located nearby the Geumseon Valley with beautiful natural scenery under Sobaek Mountain. Especially the pine forest around the valley boasts a unique natural setting. This study is aimed to analyze the value of natural scenic spot of the Geumseonjeong through the surveys on surroundings, topography, vegetation and water system. including the value of humanistic elements focused on the writings such as 'Geumgyejip' written by Whang Jun-ryang and Lee Whang, another 'Geumgyejip' written by Ryu un-ryong, and 'Geumgyejeongsajungsugi' written by Hong Gyeong-ryeom. And also, the scenic spot value of the signboards such as the 'Geumgyejeongsajungsugi' written by Ryu un-ryong, 'Geumgyejeong' by Lee Han-il, 'Geumgyejeong' written by Jo Un-hyeong and 'Geumgyejeongsa, written by Lee Jung-gi, was analyzed. And the historical and cultural value was analyzed through the semantic interpretation of the series of poetry and pose and the old map established in 1872. In respect of the scenery, the surroundings of the Geumseon Valley boast the outstanding settings as the clean mountain stream in front of the Geumseonjeong makes a beautiful harmony with the pine forest. The pine forest surrounding the Geumseon Valley has played a secret role in the history of the village. Considering the fact that the pine forest was expressed in the map of Punggi County produced in 1872, it may be assumed that the forest was regarded to have historical and scenic value in those times. Considering the fact that the words like 'Beautiful' and 'Scenic spot' were used in the writings like 'Geumgyejip' and there were meeting places around the valley, we can recognize the value of the place as a scenic spot. The beautiful natural scenery surrounding the ByeolSeo gardens, and the increase in humanistic value of the poetry and prose, including the administrative certificates, has recently brought about the cases in which some scenic spots of the ByeolSeo gardens were designated as cultural assets. According to the value as a scenic spot and semantic interpretation of the Geumseonjeong, the pavilion appeared to have a great scenic spot value as a ByeolSeo gardens, so that this study was designed to prepare criteria with which the pavilion may be designated as a scenic spot of ByeolSeo gardens.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.310-313
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• 2004

The aim of this study is to evaluate the hazard of landslides at Penang, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database; land use from TM satellite images; and the vegetation index value from SPOT satellite images. Landslide hazardous area were analysed and mapped using the landslide-occurrence factors by logistic regression model. The results of the analysis were verified using the landslide location data and compared with probabilistic model. The validation results showed that the logistic regression model is better prediction accuracy than probabilistic model.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.129-131
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• 2003

The aim of this study is to evaluate the hazard of landslides at Penang, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. The topographic and geologic data and satellite image were collected, processed and constructed into a spatial database using GIS and image processing. The used factors that influence landslide occurrence are topographic slope, topographic aspect topographic curv ature and distance from drainage from topographic database, geology and distance from lineament from the geologic database, land use from TM satellite image and vegetation index value from SPOT satellite image. Landslide hazardous area were analysed and mapped using the landslide-occurrence factors by probability - likelihood ratio - method. The results of the analysis were verified using the landslide location data. The validation results showed satisfactory agreement between the hazard map and the existing data on landslide location.