• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.04a
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• pp.436-440
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• 2011

본 연구는 산불발생에 따른 온실가스 배출량 추정을 위한 기초 data 제공에 주안점을 두고 산림연료를 대상으로 연소실험을 수행하였다. 연료의 대상은 참나무(굴참, 떡갈, 신갈, 갈참, 졸참, 상수리)를 대상으로 부위별(생엽, 가지, 수피) 채취하여 사용하였으며, 콘칼로리미터를 이용하여 $CO_2$ 배출량을 분석하였다. 중량 50g의 연료 기준에 대한 $CO_2$ 배출량은 생엽 42.38~95.41g, 가지 82.92~113.10g, 수피 72.64~100.70g 정도 범위에서 $CO_2$를 배출하는 것으로 나타났다. 부위별 평균배출량을 살펴보면, 생엽 72.10g, 가지 101.88, 수피 86.46g 정도의 값을 보여 가지부위가 가장 많은 $CO_2$를 배출하는 것을 알 수 있었으며, 또한, $CO_2$를 상대적으로 많이 배출한 수종으로는 상수리나무인 것으로 나타났다.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.4
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• pp.43-62
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• 2015

The purpose of this study is to offer the raw data for management and conservation of Korean ecosystem by surveying the present conditions and characteristics of flora to select the ecological and landscape conservation area, Ilwolsan(Mt.), Korea. The numbers of flora in Mt. Ilwol were summarized as 582 taxa including 94 families, 307 genera, 508 species, 4 subspecies, 61 varieties and 9 formas. The rare plants were 15 taxa including Clematis koreana, Aristolochia contorta, Daphne pseudomezereum var. koreana, Iris odaesanensis and so forth. The Korean endemic plants were 14 taxa including Pseudostellaria coreana, Philadelphus schrenckii, Galium koreanum, Weigela subsessilis and so forth. The specific plants by floristic region were 29 taxa including Cimicifuga heracleifolia, Parasenecio firmus, Sorbaria sorbifolia var. stellipila, Acer mandshuricum, Syringa reticulata var. mandshurica and so forth. The naturalized plants were 22 taxa including Fallopia dumetorum, Rumex nipponicus, Trifolium repens, Sonchus asper, Phleum pratense and so forth. A set of important area is rare plant, Korean endemic plant, specific plant emerge a lot of areas.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3966-3991
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• 2018

Due to the lack of visualization services and organic combinations between public and private buildings data, the usability of the basic map has remained low. To address this issue, this paper reports on a solution that organically combines public and private data while providing visualization services to general users. For this purpose, factors that can affect building prices first were examined in order to define the related data attributes. To extract the relevant data attributes, this paper presents a method of acquiring public information data and real estate-related information, as provided by private real estate portal sites. The paper also proposes a pretreatment process required for intelligent machine learning. This report goes on to suggest an intelligent machine learning algorithm that predicts buildings' value pricing and future value by using big data regarding buildings' spatial information, as acquired from a database containing building value attributes. The algorithm's availability was tested by establishing a prototype targeting pilot areas, including Suwon, Anyang, and Gunpo in South Korea. Finally, a prototype visualization solution was developed in order to allow general users to effectively use buildings' value ranking and value pricing, as predicted by intelligent machine learning.

• Korean Journal of Remote Sensing
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• v.34 no.1
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• pp.45-74
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• 2018

Landslide is a natural hazard that threats lives and properties in many areas around the world. Landslides are difficult to recognize, particularly in rainforest regions. Thus, an accurate, detailed, and updated inventory map is required for landslide susceptibility, hazard, and risk analyses. The inconsistency in the results obtained using different features selection techniques in the literature has highlighted the importance of evaluating these techniques. Thus, in this study, six techniques of features selection were evaluated. Very-high-resolution LiDAR point clouds and orthophotos were acquired simultaneously in a rainforest area of Cameron Highlands, Malaysia by airborne laser scanning (LiDAR). A fuzzy-based segmentation parameter (FbSP optimizer) was used to optimize the segmentation parameters. Training samples were evaluated using a stratified random sampling method and set to 70% training samples. Two machine-learning algorithms, namely, Support Vector Machine (SVM) and Random Forest (RF), were used to evaluate the performance of each features selection algorithm. The overall accuracies of the SVM and RF models revealed that three of the six algorithms exhibited higher ranks in landslide detection. Results indicated that the classification accuracies of the RF classifier were higher than the SVM classifier using either all features or only the optimal features. The proposed techniques performed well in detecting the landslides in a rainforest area of Malaysia, and these techniques can be easily extended to similar regions.

• Spatial Information Research
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• v.14 no.1 s.36
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• pp.115-128
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• 2006

The aim of the study is to select and verify for development of groundwater resources using Geographic Information System(GIS). The water balance, land cover, forest, soil, elevation, slope, hydrogeology and lineament were analyzed. Using GIS, relationship between the data and groundwater yield data was analyzed and the groundwater resources potential map was made for selecting suitable area for groundwater development. Then groundwater resource potential map was verified using groundwater yield data. The verified result showed the good agreement between the potential map and groundwater yield data. The potential map can be used for groundwater management which is related to groundwater development.

• Korean System Dynamics Review
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• v.15 no.3
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• pp.81-104
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• 2014

This study aimed to suggest the directions for the landscape protection of Sindu-ri coastal dune based on its ecological system. The study investigated ecological systems of the coastal dune followed by damage causes of coastal dune according to the land use change, and landscape value of coastal dune in the study area. In order to construct causal-effect feedback loop, systems thinking was performed. Result of this study showed that the area of coastal dune and the amount of sand are maintained by the interaction with sand beach while they are affected by wind direction, wind speed, and dune plants. It was also found that the changes of land use pattern, increasing commercial area, and planted windbreak forest damaged to the coastal dune. In addition, size of coastal dune and growing number of dune plants increased landscape value of coastal dune and tourist draw. However increasing tourists have constantly affected land use changes and have damaged to coastal dune area. In sum, planning for land use regulation, rest-year system areas, promotion and education for coastal dune, dune plants protection, and windbreak management should be taken into account for landscape protection in coastal dune.

• Journal of Environmental Science International
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• v.14 no.8
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• pp.739-748
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• 2005

The purpose of this study is to analyze seasonal changes in structure and landscape of Gongji stream corridor in Chuncheon, and to suggest some guidelines to contribute to creating a desirable close-to- nature stream. The study seasonally surveyed floodplain and revetment conditions, channel micro-topography, streamflow level and velocity, and vegetational cover. Flooding, water level, and vegetation were major factors of affecting seasonal changes in streambed structure and stream landscape. Small sand bars and islands were considerably disturbed by flooding and water level change. However, large islands and sand bars in the upper and middle section of the study stream remained or reappeared even after flooding. Flooding also tended to repeat channel sedimentation at the same spot. Controlling water volume of the Euiam Lake, which is adjacent to the study stream, caused higher water level downstream in the dry seasons. The majority of vegetation in sand bars and islands was washed away by the floods. Vehicle passing, crop cultivation, and ball game were other elements which disturbed vegetation in the floodplain. Creating a close-to-nature stream should reflect micro-topographical changes of channel by flooding, prevent improper vehicle entry and human use, and remove concrete material in the revetment and floodplain.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.67-74
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• 2013

The purpose of this paper is to develop strategy for successful ecotourism in Sundarbans, Bangladesh, based on studying and explaining the ecotourism destinations success factors in already developed successful ecotourism mostly in developing countries. This thesis will analyze the economic potentiality of Sundarbans as an ecotourism spots of Bangladesh and its proper utilizations to enhance ecotourism as a profitable approach for economic growth of Bangladesh. The findings of the study are the current condition of Sundarbans and some applicable recommendations according to the needs.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.20 no.2
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• pp.145-153
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• 2002

Reforming land is an important foundation for benefit of society as well as national development. A correct investigation and information acquirement as to land must go first to establish land management and plan. Land investigation by remote sensing is one of the most reasonable methods that doesn't need lots of time and manpower. In this study, Image classification on land use from Landsat data was carried out, which were respectively in 1980, 1985, 1990, 1995 and 2000, covering southern Han river and then land use changes were detected. In addition, an available information was reported, which could be used in the control of southern Han river. As a result, there is an obvious change in land use, especially the increase of water and decrease of forest and agriculture. Those are caused by the industrialization and the construction of dam.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.1
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• pp.11-21
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• 2001

This study investigates how motivations, preferences, and past experiences vary by each hikers trail choice at the Mt.Keyryong National Park. The purpose of this study is to find out the factors influencing behavioral choice in the recreation areas, and establish the fundamental theory for the efficient management of the resource and visitors. For this study, we have collected 472 respondents by on-site self-administrated questionnaire from the hikers in the park. The collected data were analyzed by the descriptive statistics and the discriminant analysis. The motivations variable of hiking participation on mountain trail were categorized three types; close-nature, escapism, and physical improvement. The preferences for trail environment were classified as four categories by factor analysis; preference for nature, safety, use density, and facilities. In descriptive statistics, the study showed that the experienced hikers prefer natural trials and hikers who have preference for close-nature select longer and deeper forest trails. The results of discriminant analysis indicate that the level of past experience is the most affectable in classification of trail choice. Such variables as motivation for close-nature and preference for nature were also appeared as affecting factors on classification of trail choice. Two discriminant functions were available, and 90.5 percent of analysis sample were correctly classified. In the validity analysis, 89 percent of holdout sample were correctly classified. These hit ratios ensures an accuracy by Press Q test. The result of this study is to be useful knowledge of the choice of detailed use environments in the same recreation areas.