• 한국산림과학회지
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• 제101권1호
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• pp.148-157
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• 2012

우리나라는 국토의 63.7%가 산림으로 국민의 생활지역과 이동 경로 상에서 산림경관으로의 조망기회를 늘 접하는 특성을 가지고 있다. 본 연구는 산림경관관리가 필요한 구역을 세부적으로 구획함으로써 구역별 경관관리 방향을 제시할 목적으로 진행되었다. 산림경관 관리를 필요로 하는 정도를 관리요구도 분석을 통해 파악하고 인위적 경관관리로 생성되는 경관변화의 시각적 영향을 흡수하는 능력을 분석하여 경관관리를 위한 관리구역 구획 과정과 방법을 제시하였다. 산림경관을 우선 관리할 지역을 선별하기 위해 주요 조망점, 통행빈도, 주요 산림경관자원, 도보 및 차량 이동수요가 있는 지역들을 기준으로 하여 산림경관관리 요구도를 분석하였다. 인위적 경관관리가 가능한 지역을 구획하기 위해 대상지의 물리적 경관변화에 대한 수용력인 시각적 흡수능을 분석하였다. 그 결과로 경관관리 요구도 상, 중, 하, 그리고 시각적 흡수능 상, 중, 하 구역을 산림경관 관리지역의 공간상에 표현하였다. 경관관리요구도가 상이고 시각적 흡수능이 상이라면 적극적이고 인위적 경관관리를 할 수 있으며, 일정 수준의 물리적 경관변화를 수용할 수 있는 구역임을 의미한다. 이러한 구획방법을 적용함으로써 산림경관자원과 그 주변의 경관디자인 및 관리를 위한 적절한 수단을 제공할 수 있다는 결과를 얻을 수 있었다.

• 한국환경과학회지
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• 제30권10호
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• pp.779-787
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• 2021

This study analyzes structural landscape changes over a time-series for a small and medium-sized city, Gangneung-Si, based on area and distribution patterns, and according to the type of land cover. Among the types of land cover, the area ratio of urbanized areas increased by 2.02% in the late 2010s as compared to the late 1980s, while there was a decrease of 2.69% in farmland and 0.69% in grassland areas. On analyzing the changes in land cover use by applying the Fragstats program, it was confirmed that landscape changes in urban and management areas were relatively severe according to the Landscape Shape Index, Largest Patch Index, and Aggregation Index. A pattern of concentrated expansion was also found around certain areas. In particular, from the analysis, it was established that the proportion of urbanized area had considerably increased and that the extent of farmland damage to management areas, including planned management areas, was large. Additionally, the Total Core Area generally indicated a reduction in the core areas of farmland and forest within urban and management areas. A medium-sized city showed significant changes besides large cities in terms of landscape structure. The developmental pressure on management areas, in particular, was quite high.

• 한국환경생태학회지
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• 제22권2호
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• pp.83-97
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• 2008

북한산국립공원의 현존식생 및 녹지자연도와 외래식물 분포실태를 2007년에 조사하였다. 북한산국립공원의 현존식생은 총 8개의 식물군락과 기타 지역으로 구분 되었으며, 자연림은 신갈나무군락, 신갈나무소나무군락, 낙엽활엽수림 등 5개 식물군락으로, 조림지는 잣나무림, 리기다소나무림, 아까시나무림 등 3개 산림유형으로 구분되었다. 북한산국립공원의 녹지자연도에서 가장 넓게 분포한 것은 8등급 지역이 약 92.8%였다. 북한산국립공원안에 식재된 수목류는 총 71과 212종류이었고 이 중 자생종은 37과 67종류(31.6%), 외래종은 58과 145종류(68.4%)이었다. 북한산국립공원의 자연환경 회복, 자생식물의 다양성 유지와 자연경관을 향상시키기 위해서는 외래수종에 대한 관리가 필요하다.

• 한국산림과학회지
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• 제101권3호
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• pp.381-386
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• 2012

산지소유역의 밤나무림, 소나무림 및 개벌조림지를 대상으로 강우특성에 따른 임분별 탁도 변화 특성을 분석한 결과를 요약하면 다음과 같다. 동일한 강우의 발생 시 임분별 탁도 발생은 개벌조림지 >밤나무림 >소나무림순으로 나타나 임분별 차이를 알 수 있었다. 탁도와 강우강도와의 상관분석에서 밤나무림 91%, 소나무림 80%, 개벌조림지는 71%로서 세 임분 모두 높은 설명력을 보였다. 반면 탁도와 강우지속시간과의 상관분석에서 밤나무림, 소나무림 및 개벌조림지 모두 0~1%의 낮은 설명력을 보였다. 탁도와 선행무강우일수와 분석에서 밤나무림, 소나무림 및 개벌조림지 모두 30% 범위의 낮은 설명력을 보였고, 탁도와 누적강우량과의 분석에서도 밤나무림, 소나무림 및 개벌조림지에서 세 임분 모두 6~22%의 낮은 설명력을 보였다. 따라서 산림의 개발과 이용으로 집중호우 시 산사태등 산지재해로 인해 발생된 토사는 산지계류에 유입되어 하류 하천의 수질에 많은 영향을 미칠 수 있으므로 산림지역의 중 하류에서는 사방댐 등을 설치하여 계류수의 탁수화와 수질오염을 방지할 필요성이 있다.

• 농촌계획
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• 제1권2호
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• pp.43-52
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• 1995

This study is to establish a planning methodology for rural area development with land suitability classification. Land suitability classification was carried out by introducing Geographic Information System. The planning methodology was applied to Sunheung district located in Youngpoong county, Kyongbuk Province, Korea. Land suitability classification by the GIS showed that only 29 % of present agricultural land were higher than class 2 and 71 % were in bad condition for agricultural land. Especially, 22.2 % of agricultural land were under class 5 as the lowest level and 265.2 ha of forest were possible to develop as an agricultural land. It was proved that GIS may be a powerful tool in rural planning process. In addition, it is thought that GIS can be applied to the fields of agricultural land management system in many ways.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.294-296
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• 2006

Recently the development of GIS and spatial information technology is used to construct very detail forest information. In addition, in order to classify forest characteristic, the geographical characteristic information of forest could be very useful for the forest classification, In this study sampling points were arranged to clarify the difference between the orm area and the land forest area. Also, forest feature pattern could be discriminated by using satellite images and SML. This study result should be constructed to efficiency forest management in especially forest area in Jeju Island

• 한국환경복원기술학회지
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• 제10권4호
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• pp.41-53
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• 2007

The Baekdudaegan Mountain Range is a backbone of the Korean Peninsula which carries special spiritual and sentimental signatures for Koreans as well as significant ecological values for diverse organisms. However, in spite of importance of this region, the forests of Baekdudaegan have been damaged in a variety of human activities by being used as highland vegetable grower, lumber region, grass land, and bare land, and are still undergoing destruction. The existing researches had determined the details of the damage through on-site and recent observations. Such methods cannot provide quantitative and integrated analysis therefore could not be utilized as objective data for the ecological conservation of Baekdudaegan forests. The goal of this study is to quantitatively analyze the forest damage in the Baekdudaegan preservation region through land cover categorization and change detection techniques by using satellite images, which are 1980s, and 1990s Landsat TM, and 2000s Landsat ETM+. The analysis was executed by detecting land cover changed areas from forest to others and analyzing changed areas' spatial patterns. Through the change detection analysis based on land cover classification, we found out that the deforested areas were approximately three times larger after the 1990s than from the 1980s to the 1990s. These areas were related to various topographical and spatial elements, altitude, slope, the distance form road, and water system, etc. This study has the significance as quantitative and integrated analysis about the Baekdudaegan preservation region since 1980s. These results could actually be utilized as basic data for forest conservation policies and the management of the Baekdudaegan preservation region.

• 대한원격탐사학회지
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• 제40권2호
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• pp.203-217
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• 2024

The Land Use, Land-Use Change and Forestry (LULUCF) sector of the National Greenhouse Gas Inventory is crucial for obtaining data on carbon sinks, necessitating accurate estimations. This study analyzes cases of countries applying the LULUCF sector at the Tier 3 level to propose enhanced methodologies for carbon sink estimation. In nations like Japan and Western Europe, satellite spatial information such as SPOT, Landsat, and Light Detection and Ranging (LiDAR)is used alongside national statistical data to estimate LULUCF. However, in Korea, the lack of land use change data and the absence of integrated management by category, measurement is predominantly conducted at the Tier 1 level, except for certain forest areas. In this study, Space-borne LiDAR Global Ecosystem Dynamics Investigation (GEDI) was used to calculate forest canopy heights based on Relative Height 100 (RH100) in the cities of Icheon, Gwangju, and Yeoju in Gyeonggi Province, Korea. These canopy heights were compared with the 1:5,000 scale forest maps used for the National Inventory Report in Korea. The GEDI data showed a maximum canopy height of 29.44 meters (m) in Gwangju, contrasting with the forest type maps that reported heights up to 34 m in Gwangju and parts of Icheon, and a minimum of 2 m in Icheon. Additionally, this study utilized Ordinary Least Squares(OLS)regression analysis to compare GEDI RH100 data with forest stand heights at the eup-myeon-dong level using ArcGIS, revealing Standard Deviations (SDs)ranging from -1.4 to 2.5, indicating significant regional variability. Areas where forest stand heights were higher than GEDI measurements showed greater variability, whereas locations with lower tree heights from forest type maps demonstrated lower SDs. The discrepancies between GEDI and actual measurements suggest the potential for improving height estimations through the application of high-resolution remote sensing techniques. To enhance future assessments of forest biomass and carbon storage at the Tier 3 level, high-resolution, reliable data are essential. These findings underscore the urgent need for integrating high-resolution, spatially explicit LiDAR data to enhance the accuracy of carbon sink calculations in Korea.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.64-64
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• 2003

The aim of this study is to apply and verify of logistic regression at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database.13${\times}$1ure, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the logistic regression coefficient were overlaid for landslide susceptibility mapping. Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.63-63
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• 2003

The aim of this study is to apply and verify of Bayesian probability model, the likelihood ratio and statistical model, at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the likelihood ratio coefficient were overlaid for landslide susceptibility mapping, Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.