• KCID journal
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• v.21 no.1
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• pp.89-98
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• 2014

This study is to evaluate the future potential impact of climate change on soil erosion loss in a metropolitan area using Revised Universal Soil Loss Equation(RUSLE) with land use information of the Ministry of Environment and rainfall data for present and future years(30-year period). The spatial distribution map of vulnerable areas to soil erosion was prepared to provide the basis information for soil conservation and long-term land use planning. For the future climate change scenario, the MIROC3.2 HiRes A1B($CO_2720ppm$ level 2100) was downscaled for 2040-2069(2040s) and 2070-2099(2080s) using the stochastic weather generator(LARS-WG) with average rainfall data during past 30 years(1980-2010, baseline period). By applying the climate prediction to the RUSLE, the soil erosion loss was evaluated. From the results, the soil erosion loss showed a general tendency to increase with rainfall intensity. The soil loss increased up to 13.7%(55.7 ton/ha/yr) in the 2040s and 29.8%(63.6 ton/ha/yr) in the 2080s based on the baseline data(49.0 ton/ha/yr).

• Journal of the Korean Geographical Society
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• v.40 no.2 s.107
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• pp.221-241
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• 2005

Land Use and Land Cover Changes (LUCC) occur over a wide range of space and time scales, and involve complex natural, socio-economic, and institutional processes. Therefore, modelling and predicting LUCC demands an understanding of how various measured properties behave when considered at different scales. Understanding spatial and temporal variability of driving forces and constraints on LUCC is central to understanding the scaling issues. This paper aims to 1) assess the heterogeneity of land cover change processes over the landscape in northern Ghana, where intensification of agricultural activities has been the dominant land cover change process during the past 15 years, 2) characterise dominant land cover change mechanisms for various spatial scales, and 3) identify the optimal spatial scale for LUCC modelling in a savanna landscape. A multivariate statistical method was first applied to identify land cover change intensity (LCCI), using four time-sequenced NDVI images derived from LANDSAT scenes. Three proxy land use change predictors: distance from roads, distance from surface water bodies, and a terrain characterisation index, were regressed against the LCCI using a multi-scale hierarchical adaptive model to identify scale dependency and spatial heterogeneity of LUCC processes. High spatial associations between the LCCI and land use change predictors were mostly limited to moving windows smaller than 10$\times$10km. With increasing window size, LUCC processes within the window tend to be too diverse to establish clear trends, because changes in one part of the window are compensated elsewhere. This results in a reduced correlation between LCCI and land use change predictors at a coarser spatial extent. The spatial coverage of 5-l0km is incidentally equivalent to a village or community area in the study region. In order to reduce spatial variability of land use change processes for regional or national level LUCC modelling, we suggest that the village level is the optimal spatial investigation unit in this savanna landscape.

• Journal of the Korean Institute of Landscape Architecture
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• v.13 no.1
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• pp.43-66
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• 1985

Korea needs proper and rational public policies on conservation and use of forest land and other natural resources because of the accelerating expansion of national land developments in recent years. Unfortunately, there is no systematic planning system to support the needs. Generally, forest land use planning needs suitability analysis based on efficient land classification system. The goal of this study was to classify a forest land using multivariate satistical methods. A case study was carried out in winter of 1983 on a mountainous area higher than 100m above sea level located at Mt. Kwanak in Anyang -city, Kyung-gi-do (province). The study area was 19.80 km$^2$wide and was divided into 1, 383 Operational Taxonomic Units (OTU's) by a 120m$\times$120m grid. Fourteen descriptors were identified and quantified for each OTU from existing national land data : elevation, slope, aspect, terrain form, geologic material, surface soil permeability, topsoil type, depth of the solum, soil acidity, forest cover type, stand size class, stand age class, stand density class, and simple forest soil capability class. For this study, a FORTRAN IV program was written for input and output map data, and the computer statistics packages, SPSS and BMD, were used to perform the multivariate statistical analysis. Fourteen variables were analyzed to investigate the characteristics of their fire quench distribution and to estimate the correlation coefficients among them. Principal component analysis was executed to find the dimensions of forest land characteristics, and factor scores were used for proper samples of OTU throughout the study area. In order to develop the classes of forest land classification based on 102 surrogates, cluster and discriminant analyses of principal descriptor variable matrix were undertaken. Results obtained through a series of multivariate statistical analyses were as follows ; 1) Principal component analysis was proved to be a useful tool for data selection and identification of principal descriptor variables which represented the characteristics of forest land and facilitated the selection of samples.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1053-1065
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• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.

• Land and Housing Review
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• v.9 no.2
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• pp.9-19
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• 2018

The purpose of the study is to show the possibility of the enlargement of land banking types through employment of the French land bank case. For sustainable urban regeneration projects, it is necessary to improve the land banking system with comprehensive land banking types. There are a total of 35 land banking agencies in France, which are made according to the needs of the municipality. The main function of these institutions is to perform functions such as land acquisition, management, division, land maintenance(decontamination, etc.), land use plan review and so on. In the 1960s and 1970s, mainly purchase and maintenance of land mainly focused on Brownfield and idle land, but since 2000 the land purchase business is mainly for the supply of social rental housing which is missing It was. The use of land banks is most frequently mentioned as a way of how to supply land at a low price in urban renewal projects. To that end, it is necessary to revise related laws, even if the law is revised so that land for urban regeneration projects can be secured, due to the limit of financial resources, land for the urban regeneration project nationwide secured It will not be easy without policy judgment of a positive nation. Therefore, securing land reserve resources for urban regeneration projects utilizing residential district funds and municipal maintenance funds is essential. In addition, even on a small scale, it is necessary to consider the banking of land for regional capitalization at the local government level.

• Journal of Korean Society of Rural Planning
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• v.1 no.2
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• pp.33-42
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• 1995

For formulation of the rational land us2 plan in regional base, it is a basic and prior condition to categorize total planning area into some functional subregions by purposely-selected indicators. As one of quantitive approaches to the areal categorization in rural area, Principal Component Analysis(PCA) was introduced and testified its applicability through a case study on Sunheungdistrict(called as myun in Korea) area, Youngpoong-county, Kyungbuk-province, Korea. Areal analysis by PCA was carried out on rurality and urbanity of parish-level area(ri in Korea) respectively. By use of PCA analysis results, classifying matrix was made through categorization of both index scores. Among 18 ri's of the case study area, 12 was classified as rural-dominated areas, 2 as urban- dominated areas, and reamaining 3 as intermediate areas.

• Spatial Information Research
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• v.17 no.2
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• pp.171-181
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• 2009

In Web2.0 environment, with advanced platform technologies, global vendors such as Google, Microsoft and Yahoo provide competitive geospatial services based on global map and satellite image. But the relatively low level of platform technologies has not rapidly increased the land information and geospatial service markets in Korea. For the ubiquitous next generation Internet, as a one of the R&D projects by Korean Land Spatialization Group, the project for platform technologies has being made to provide customized land information and geospatial service. The platform technologies can be categorized for streamming, mashup and geosearch. More specifically, the 2D/3D Hybird streamming engine, mashup engine for u-GIS service and next generation search engine for land information have being developed. In this context, the strategies for efficient development and use of geoweb platform technologies are required. This study surveys the present geospatial products and services using of platform technologies to propose the strategies for efficient development and use of platform technologies. The strategies for efficient development and use of platform technologies can be proposed focusing on target market and each of platform technologies.

• KIEAE Journal
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• v.14 no.6
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• pp.31-41
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• 2014

This study aims to POE(Post-Occupancy Evaluation) analyze the characteristics of residents and their demands on community facilities by types of supplying housing, which can be the basis for making the housing regulations. The following five types of housing are considered in this study ; 1) National Rental Housing(L), 2) Public Rental Housing(L), 3) Permanent Rental Housing(S), 4) Public Rental Housing(S), 5) Private Rental Housing. We surveyed 527 residents from 20 housing complexes in those four housing types. First, each housing type has different household characteristics. Second, the criteria for housing selection are different. Third, local community activities and satisfaction are different in each housing type. Lastly, residents are generally satisfied with service facilities, but their satisfaction level and the facilities they need are different depending on housing type, accordingly. The housing community space plan be should be improved to the amount of areas of community facilities.

• Journal of the Korean housing association
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• v.10 no.4
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• pp.63-70
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• 1999

The purpose of this study is to evaluate the outdoor environmental quality level at the improvement areas of residence and examine the changes of these areas where the improvement process has been performed. The indicators of outdoor space were examined for case study and several improvement areas were selected and analyzed in terms of these indicators. The improvement areas may be divided into two branch, one is a housing improvement area and the other is a multi-family housing area. The results of this study were as follows; 1) Land-use intensity in both cases was much higher than before. 2) Open space ratio in the housing improvement areas was not enough but in the multi-family housing areas was enough. 3) The road ratio in both cases was much higher. 4) Parking space was not enough to accomodate all the cars in projects. 5) Public facilities and green space did not exist in housing improvement areas but existed a little in multi-family housing areas. In order to improve the environmental quality level, the proper residential density such as dwelling density, open space ratio, land-use intensity should be planned in advance.

• Journal of Soil and Groundwater Environment
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• v.19 no.6
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• pp.59-71
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• 2014

We investigated soil contamination depending on the land use by examining the contamination levels and distribution characteristics of 16 polycyclic aromatic hydrocarbons (PAHs) in the national soil. Total PAHs (the sum of 16 PAH concentrations) and carcinogenic PAHs (the sum of seven carcinogenic PAH concentrations) were $8.50{\sim}3,437.16{\mu}g/kg$ and $2.94{\sim}2,136.96{\mu}g/kg$, respectively. The concentration of benzo(a)pyrene, one of the contaminants regulated by the soil quality standard in the nation, was $ND{\sim}924.73{\mu}g/kg$. Its maximum value of $924.73{\mu}g/kg$ was detected in railroad (Region 3) and is approximately 13% of the standard value for Region 3 (i.e., 7 mg/kg). We also investigated the characteristics of contamination sources of PAHs in soil of the upland, forests, roads, and railroads, examining the fraction distribution of PAHs concentration by the number of benzene rings against the total PAHs concentration. The results demonstrate that the mean fraction of 4~6-ring PAHs against total PAHs concentration in soil was in the range of 51.8~80.7% with relative abundance of high-molecular PAHs, showing that the origin of contamination is under the category of combustion sources. When the molecular indices (Flu/(Flu/Pyr), Ant/(Ant+Phe), InP/(InP+BP), and BaA/(BaA+Chr)) were applied, they were also categorized as petroleum-based combustion sources. The individual PAH concentrations in soil by the land use were grouped into Regions 1, 2, and 3, which are statistically treated and are the parts of the national category system of soil quality standard. As a result, the concentration level of 16 PAHs was $0.02{\sim}2.63{\mu}g/kg$ in Region 1, $0.05{\sim}4.26{\mu}g/kg$ in Region 2, and $2.36{\sim}178.27{\mu}g/kg$ in Region 3. The concentration level of 6 carcinogenic PAHs was 14.2~320.4% against that of benzo(a)pyrene in Region 3 and sites of recycling waste sleepers. Considering that there were similarities among PAHs in terms of structures and toxicities, it would be recommended to review other types of carcinogenic PAHs together with benzo(a)pyrene when developing the soil quality standards in the nation.