• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.434-436
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• 2008

1차부터 3차에 이르는 국가지리정보체계 사업을 추진해 오는 동안 가장 큰 결과물 중의 하나가 정부 부처들이 각기 구축한 산림, 지적, 토지이용 등과 같은 공간정보 데이터베이스들이다. 이들 데이터베이스의 공유를 통해 자원효율성을 높이기 위해서는 연계 통합 방안이 필요하다. 본 연구는 데이터베이스의 물리적 통합(강결합 방식)이 아니라, 약결합방식에 의한 데이터베이스 연계시스템을 통해 통합서비스를 제공하는 시스템을 소개한다. 이 시스템은 데이터베이스 연계 중요성이 증가하는 시점에서 다양한 요구에 대응하는 데이터를 생성 관리함으로서 정보의 재사용성을 증가시키고, 정보의 최신성을 유지시킨다는 점에서 의의가 있다.

• Proceedings of the KSEEG Conference
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• 2005.04a
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• pp.350-353
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• 2005

• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.665-677
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• 2021

This study analyzed the optimization method of forest management to enhance economic and public functions, as well as the interrelationship among timber production, carbon storage, and water conservation functions in Mt.Gari leading forest management zone. For these purposes, a forest management planning model was developed using Multi-Objective Linear Programming. The model had an objective function to maximize the total NPV (Net Present Value) of weighted timber production, carbon storage, water conservation, and constraints to limit the rate of change in timber production, percentage of each age-class and tree species area, percentage of conifers and broad-leaved trees area in each management zone, minimum timber production and timber sales amount. Based on the description of forest inventory and the comprehensive plan of Mt.Gari, we analyzed stand information and management constraints of the study area. We compared management alternatives using different weights in the objective function. Therefore, the total NPV was maximized in the alternative considering the three functions in equal proportion, rather than the alternatives of maximizing only one function. When all three functions were considered simultaneously, timber production offset the carbon storage and water conservation, and carbon storage and water conservation interacted synergistically. However, when considering only two of the three functions, all combinations of functions demonstrated tradeoffs with one other. Therefore, we discovered that by considering all three functions equally, rather than only one or two functions, the economic and public values of the study area can be maximized.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.57-65
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• 2019

This study is a scientific approach to psychological factors such as emotional stability among various effects of forest resources. In order to carry out this study, the experiment was conducted on the subjects by setting the forest healing space as various spaces. The subjects who participated in this experiment were the students in their twenties and the average age was 22±1.25 years. The subjects were assessed for emotional words through subjective sequence evaluation in different designated forest healing spot. In addition, the emotional states that they actually perceived were measured by measuring the bio-signals to their perceived emotions. BMP, SDNN, VLF, LF, HF, Amplitude, and PPI were used for the bio-signal reaction experiment applied to this study. The results of this experiment were measured by Friedman test and Wilcoxon test for statistical analysis. n this study, 'good', 'clear', and 'uncomfortable' words were found statistically significant at the spot of forest healing space for subjective emotional vocabulary. In addition, SDNN, HF and Amplitude were statistically significant in the results of quantitative bio-signal measurement at each spot in the forest healing space. Based on the results of this study, we can suggest the application direction and strategic utilization plan of forest healing spot and forest resource utilization field. This is not only a guide for the users who use the facility through the spatial facilities and physical requirements for the emotion based forest-healing, but also can be used as a personalized emotional space design aspect.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1031-1035
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• 2019

Nowadays, the utilization infrastructure of domestic satellite information is expanding rapidly. Especially, the development of agriculture and forestry satellite is expected to drastically change the utilization of satellite information in the forest sector. The launch of the satellite is expected in 2023. Therefore, NIFoS and academic experts in forest sectors have prepared "Special Issue on Forest Management Research using Optical Sensors and Remote Sensing Technologies" in order to understand new remote sensing technologies and suggest the future direction of forest research and decision-making. This special issue is focused on a variety of fields in forest remote sensing research, including forest resources survey, forest disaster detection, and forest ecosystem monitoring. The new research topics for remote sensing technologies in forest sector focuses on three points: development of new indicators and information for accurate detection of forest conditions and changes, the use of new information sources such as UAV and new satellites, and techniques for improving accuracy through the use of artificial intelligence techniques.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.3
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• pp.19-28
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• 2023

The purpose of this study is to estimate carbon dioxide emissions from soil microbial respiration by forest type of Sobaeksan National Park. As a result of estimating the annual soil microbiological respiration volume by forest type in Sobaeksan National Park, broad-leaved forests, coniferous forest, artificial forests were similar to around 19.5 CO₂-ton/ha/yr. In the case of coniferous forests in sub-alpine and grassland near Birobong Peak, 12.2 CO₂-ton/ha/yr and 8.1 CO₂-ton/ha/yr, respectively, were lower than general forest areas. And as a result of analyzing the changes in soil microbiological respiration rate according to forest type in Sobaeksan National Park, the soil microbiological respiration rate in coniferous forests, broad-leaved forests, artificial forests, and sub-alpine areas was the highest in the July survey in summer and the lowest in November in late autumn. The change in soil microbial respiratory volume according to the measurement time in Sobaeksan National Park was the highest between 12:00 and 16:00, when the soil temperature was generally the highest among the days. It is known that the soil temperature is relatively low and the amount of soil microbial respiration decreases during winter, and the change in respiratory volume over the measurement time during the day was the smallest in November, when the amount of soil microbial respiration was relatively smaller than the May-September survey. However, this study has limitations in revealing the causal relationship of various environmental factors that affect the soil microbial respiration. Therefore, it is suggested that long-term research and investigation of various factors affecting soil respiration are needed to understand the carbon cycle of forest ecosystems.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.12a
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• pp.49-49
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• 2020

본 연구는 호랑버들과 갯버들 교잡종의 잎 형태적 특성을 국내 자생종인 호랑버들, 갯버들과 비교하였다. 호랑버들 35개체, 갯버들 35개체, 교잡종 100개체에서 잎을 채취하여 잎의 길이와 너비, 엽저와 엽두 각도, 잎자루 길이와 너비, 탁엽의 길이와 너비, 잎 두께 등 총 17개의 잎 형태적 특성을 분석한 결과, 엽두 각도와 탁엽의 길이를 제외한 15개의 특성에서 세 분류군이 유의한 차이를 나타내었다. 교잡종의 잎 길이와 너비의 비는 갯버들, 교잡종, 호랑버들 순으로 크게 나타나 교잡종의 잎의 형태는 피침형인 갯버들과 타원형인 호랑버들 사이 중간 형태로 나타났다. 교잡종의 잎의 너비, 엽저 각도, 잎자루의 길이와 너비, 탁엽의 길이와 너비는 호랑버들과 갯버들의 중간 형태를 나타내었으며, 탁엽의 거치 개수는 교잡종이 호랑버들과 갯버들보다 많은 특성이 나타났다. 잎 뒷면 단위면적당 털의 개수 또한 교잡종이 호랑버들과 갯버들보다 많은 특성을 나타냈다. 세 분류군 간 잎 형태적 차이를 구명하기 위해 유의한 차이를 보인 15개의 변수를 이용하여 주성분분석을 실시한 결과 고유값이 1 이상인 제 1, 2, 3, 4주성분이 전체 분산의 68.2%를 설명하였다. 제 1주성분은 잎의 너비, 잎의 1/3 아랫부분 너비, 잎의 1/3 윗부분 너비, 잎자루의 길이, 잎의 길이로 잎의 크기와 관련이 있는 특성들이 높은 상관관계를 나타내었고, 제 2주성분은 엽맥의 수, 잎자루의 너비와 높은 상관관계를 나타내었다. 제 3주성분은 탁엽의 거치 개수, 탁엽의 너비로 탁엽의 특성과 관련이 있는 특성들이 높은 상관관계를 나타내었으며, 제 4주성분은 잎의 두께와 높은 상관관계를 나타내었다. 주성분분석 결과 호랑버들과 갯버들 교잡종의 잎 특성은 호랑버들보다 갯버들과 가까운 것으로 나타났다. 잎의 형태적 특성으로 세 분류군을 구별하기 위해 정량형질을 이용한 판별분석 결과 교잡종 중 대부분(93.3%)이 호랑버들, 갯버들과 구별되었다. 일부 교잡종 개체(6.7%)가 갯버들로 오분류되었지만, 잎의 정성적 특성인 잎의 거치와 측맥의 특성을 고려한 결과 모든 개체가 교잡종으로 구분되었다. 따라서 호랑버들과 갯버들의 교잡종은 잎의 형태적 특성이 부모종인 호랑버들, 갯버들과 다른 독특한 형태를 가진 것으로 나타났다.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.69-85
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• 2014

Carbon stocks of NFI plots can be accurately estimated using field survey information. However, an accurate estimation of carbon stocks in other unsurveyed sites is very difficult. In order to fill this gap, various spatial information can be used as an ancillary data. In South Korea, there is the 1:5,000 forest type map that was produced by digital air-photo interpretation and field survey. Because this map contains very detailed forest information, it can be used as the high-quality spatial data for estimating carbon stocks. In this study, we compared three upscaling methods based on the 1:5,000 forest type map and 5th national forest inventory data. Map algebra(method 1), RK(Regression Kriging)(method 2), and GWR(Geographically Weighted Regression)(method 3) were applied to estimate forest carbon stock in Chungcheong-nam Do and Daejeon metropolitan city. The range of carbon stocks from method 2(1.39~138.80 tonC/ha) and method 3(1.28~149.98 tonC/ha) were more similar to that of previous method(1.56~156.40 tonC/ha) than that of method 1(0.00~93.37 tonC/ha). This result shows that RK and GWR considering spatial autocorrelation can show spatial heterogeneity of carbon stocks. We carried out paired t-test for carbon stock data using 186 sample points to assess estimation accuracy. As a result, the average carbon stocks of method 2 and field survey method were not significantly different at p=0.05 using paired t-test. And the result of method 2 showed the lowest RMSE. Therefore regression kriging method is useful to consider spatial variations of carbon stocks distribution in rugged terrain and complex forest stand.

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.322-340
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• 2021

Due to climate change and its consequential spring temperature rise, flowering time of Robinia pseudoacacia has advanced and a simultaneous blooming phenomenon occurred in different regions in South Korea. These changes in flowering time became a major crisis in the domestic beekeeping industry and the demand for accurate prediction of flowering time for R. pseudoacacia is increasing. In this study, we developed and compared performance of four different models predicting flowering time of R. pseudoacacia for the entire country: a Single Model for the country (SM), Modified Single Model (MSM) using correction factors derived from SM, Group Model (GM) estimating parameters for each region, and Local Model (LM) estimating parameters for each site. To achieve this goal, the bloom date data observed at 26 points across the country for the past 12 years (2006-2017) and daily temperature data were used. As a result, bloom dates for the north central region, where spring temperature increase was more than two-fold higher than southern regions, have advanced and the differences compared with the southwest region decreased by 0.7098 days per year (p-value=0.0417). Model comparisons showed MSM and LM performed better than the other models, as shown by 24% and 15% lower RMSE than SM, respectively. Furthermore, validation with 16 additional sites for 4 years revealed co-krigging of LM showed better performance than expansion of MSM for the entire nation (RMSE: p-value=0.0118, Bias: p-value=0.0471). This study improved predictions of bloom dates for R. pseudoacacia and proposed methods for reliable expansion to the entire nation.

• Journal of Korean Society of Forest Science
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• v.107 no.4
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• pp.402-411
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• 2018

This study was conducted to develop ingrowth estimation equations on Pinus densiflora found in Gangwon Province and in the center of Korean Peninsula, based on the National Forest Inventory (NFI)'s permanent sampling plot data. For this study, identical sampling plots in $5^{th}$ and $6^{th}$ NFI data were collected in order to identify ingrowth amounts for the last 5 years. Following two-stage approaches in developing the ingrowth estimation equations, the logistic regression model was used in the first stage to estimate the ingrowth probability. In the second stage, regression analysis on sampling plots with ingrowth occurrence was used to estimate the ingrowth amount. A candidate model was finally selected as an optimal model after a verification based on three evaluation statistics which include mean difference (MD), standard deviation of difference (SDD) and standard error of difference (SED). In results, a logistic regression model based on the number of sampling plot which did not result in ingrowth (model VI), was selected for an ingrowth probability estimation equation and exponential function including the species composition (SC) variable was optimal for an ingrowth estimation equation (model VII). The ingrowth estimation equations developed in this study also evaluated the estimation ability in various forest stand conditions, and no particular issue in fitness or applicability was observed.