• Atmosphere
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• v.17 no.2
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• pp.159-169
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• 2007

A comparison of the three land cover data sets (United States Geological Survey: USGS, International Geosphere Biosphere Programme: IGBP, and University of Maryland: UMd), derived from 1992-1993 Advanced Very High Resolution Radiometer(AVHRR) data sets, was performed over the Asian continent. Preprocesses such as the unification of map projection and land cover definition, were applied for the comparison of the three different land cover data sets. Overall, the agreement among the three land cover data sets was relatively high for the land covers which have a distinct phenology, such as urban, open shrubland, mixed forest, and bare ground (>45%). The ratios of triple agreement (TA), couple agreement (CA) and total disagreement (TD) among the three land cover data sets are 30.99%, 57.89% and 8.91%, respectively. The agreement ratio between USGS and IGBP is much greater (about 80%) than that (about 32%) between USGS and UMd (or IGBP and UMd). The main reasons for the relatively low agreement among the three land cover data sets are differences in 1) the number of land cover categories, 2) the basic input data sets used for the classification, 3) classification (or clustering) methodologies, and 4) level of preprocessing. The number of categories for the USGS, IGBP and UMd are 24, 17 and 14, respectively. USGS and IGBP used only the 12 monthly normalized difference vegetation index (NDVI), whereas UMd used the 12 monthly NDVI and other 29 auxiliary data derived from AVHRR 5 channels. USGS and IGBP used unsupervised clustering method, whereas UMd used the supervised technique, decision tree using the ground truth data derived from the high resolution Landsat data. The insufficient preprocessing in USGS and IGBP compared to the UMd resulted in the spatial discontinuity and misclassification.

• Journal of Environmental Impact Assessment
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• v.15 no.4
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• pp.279-288
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• 2006

Saemangeum reclamation project was started in 1991 with the purpose of eco-friendly reclamation, but without clear definition of eco-friendliness. This study was carried out to find out the environmental indicators to define and evaluate the eco-friendliness of Saemangeum project. The methodology to identify the indicators included the analysis of similar reclamation projects, professional discussions, and Delphi survey. The eco-friendly indicators are theoretically based on the five elements of eco-friendliness; 1) resource consumption, 2) energy consumption, 3) pollution emission, 4) bio-diversity, 5) social amenity. The 69 indicators were explained in detail for the convenient use of the indicators by the potential users. The 69 indicators were classified into three categories such as pre-evaluation, process evaluation, and post-evaluation. In terms of spatial consideration, the 69 indicators were classified into two categories such as direct influence area and indirect influence area. Also the 69 indicators were classified into 7 categories: 1) sea, 2) lake, 3) agricultural land use, 4) industrial land use, 5) residential land use, 6) tourism land use, and 7) environmental land use. Twenty core indicators were selected from the 69 indicators by surveying the importance of each indicator. The core indicators are recommended in case of time and budget strain. When there are few quantitative data accumulated for the reclamation project, 5 macro indicators are recommended to be used. Macro indicators are qualitative in nature, and may be used in order to evaluate the overall eco-friendliness of a reclamation project.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.473-478
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• 1999

The purpose of the study were to detect and evaluate the land use and changes on the Balan Watersheds, located southwest of Suwon, using the Thematic Mapper(TM) data. Three sests of TM taken in 1985 , 1993 and 1996 were used and the changes in the land use analyzed and compared. The suupervised and unsuperivised classification methods were adoppted to classify five land-cover categories ; Paddy , upland , forest , residential , and water. Future ladn use patterns were simulated using a Markow chain method, and the change ratios presented.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.93-105
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• 2016

Among 28 land Categories, 'road' is that most frequently established or transformed. Like that of other 27 land categories, the boundary of road should be defined by boundary making principles and then fixed by cadastral laws. But, some criteria to determine the land boundary, especially in boundary making rule which can be used by geographical features, is confused partly in Land Use Planning stages. Because the purpose of making any rules in fixing road boundary may be misinterpreted, the gap between law and real land boundary can be occurred. Those related rules in determining the land boundary must be improved urgently. Cut surface' or 'slope' should be conformed as a legal term and I suggest that 'Structures' must be changed to 'geographical features'.

• Journal of Forest and Environmental Science
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• v.30 no.4
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• pp.393-404
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• 2014

With consideration of proximate and intricate relationships among rural livelihood, farm land and forestry; this paper examined impact of land tenure reform on local peoples' forest dependency by taking Ethiopia as case study. The post 1975 major land tenure reform and associated activities such as land distribution and forest demarcation were found to be short of minimizing pressure on the forest as has been evidenced by percentage of new households established inside the forest and current level of dependency on the forest. With most of recently established households all making up the poor and very poor categories, together with overall of household composition which is dominated by dependent members coupled by current land tenure system that tie farmers with their land, future dependency on the already diminished forest seems to increase unabated. Reconsidering the existing land tenure system backed by policy for livelihood diversification, improvement in rural education and awareness on demographic issues can minimize future dependency on the forest.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.984-987
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• 2003

In order to rapidly catch up urban region’s detailed land-use or land-cover information; this research used the post-classification algorithm (Spatial Reclassification Kernel: SPARK) to create a land-use map of Taichung City. We discussed the urban land-use classification model with the IKONOS images. The conclusions may be distinguished as follows:(a) Using the Maximum-Likelihood algorithm to classify seven broad land-cover categories. The overall accuracy in this stage achieves 92.72% and Kappa coefficient will be obtained 0.91; and (b) Using the SPARK method to classify images for detect the land-use, the overall accuracy achieves higher 89.64% and Kappa coefficient will be 0.86. To conclude, the research process in this study can fully and carefully describe local land-use pattern and assist the demand of land management and resources planning reference.

• KIEAE Journal
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• v.9 no.3
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• pp.21-27
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• 2009

The goal of this paper is to determine the suitability evaluation indices of a riverside reservoir space planning by classifying major indicators and calculating AHP(Analytical Hierarchy Process) based weights of them. The major indicators were set up based on literature review and questionnaire survey to experts. Four indicator categories were developed: location, environment, resource availability and economical efficiency. And they were divided into 12 sub-categories for calculating AHP-based weights. First, as for the major indicator categories, the calculation shows that the weighted index of environment is the most important at 0.458, followed by location at 0.128, economical efficiency at 0.170 and resource availability at 0.154. This suggests that environment is getting more public attention and the reservoir is regarded as a facility that is connected to a river. Those weight values were considered in calculating final weights for each of 12 sub-categories. Among them water quality and ecological environment take top ranks at 0.190 and 0.186, respectively. The lower ranks include access 0.112, resource availability of site 0.082, tourism resource 0.078, users 0.076, available land 0.052, area of site 0.031, shape of site and deterioration level 0.030 and percentage of private land 0.030 - which represents general considerations in other space planning. The difference of the top rank (water quality, 0.190) and the last one (percentage of private land, 0.027) is 0.163. The above result shows that users regard environmental aspect and resource availability more important than easiness of construction.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.3
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• pp.77-89
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• 2000

The purpose of this study is to establish a Zone-Based Land Use Information System(ZBLIS) using digital topographic maps and public statistics data with a case for Pohang. The Basic Spatial Units(BSUs) used in ZBLIS is the administrative district units(Dong and Lie), and larger or smaller spatial units than this are brought out from BSUs. In the first step, the structure of ZBLIS is constructed to choose Analysis Zone on the top menu, and in subsequent steps, to choose Analysis Categories on sub-menu in terms of dialog windows, and then to choose Analysis Sub-categories and Analysis Theme. The 11 Analysis Categories are consisted of Population, Land Use, Transportation, Industry and Economy etc.. In this case study, it is found that there occur some technical problems in the process of making base-map from digital topographic maps, and inputting attribute data to this base map. For each of these problems, some handling method are recommended.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.19 no.6
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• pp.101-110
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• 2016

Development activities in forest areas are analysed based on degree of slope, altitude, land cover, and prefectures in order to improve the capacity of existing regulations of 'feasibility of forest land conversion' and 'assessment of forest land characteristics' in this research. 959 land based developments between year 2007 and 2013 have been analysed. A development site includes over 50% of forest is categorized as a forest type, degree of slope is steeper than $8.5^{\circ}$ as mountain type, and a development included in the both categories as combined type. Distribution characteristics of the above three types are analysed by development categories and regions adopting Relative Mountain Development Index(RMDI). In results, 44.94% of total development activities have been carried out in Gyeongsang Do in order of urban development, industrial complex, sports facilities, and soil and stone collection quarrying. Developments less than $0.3km^2$ which are exempt from the feasibility of forest land conversion regulation consist 86 cases of forest type, 78 cases in mountain type, and 78 cases in combined type. SAI by slope range showed the highest value of 1.55 in less than $5^{\circ}$ and the lowest value of 0.69 between $20^{\circ}-25^{\circ}$. RMDI value in Gyeongsang Do where mountain ratio is 67.05% appeared 1.17, which is 5 times more than Gangwon Do where mountain area ratio is 81.30%, and 2 times more than Chungchung Do where mountain area ratio is 51.24%. Development activities in forestland in Korea showed unequal distributions and 26% of those developments were not subjected to the feasibility of forest land conversion regulation.

• Journal of Korean Society of Environmental Engineers
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• v.36 no.3
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• pp.162-171
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• 2014

In this study, the uncertainty analysis of present land pollutant load estimation with simplified land category in TMDLs was performed and the enhanced method for land pollutant load estimation with level II land cover consisting of 23 categories was suggested, which was verified by L-THIA model. For land TP load estimation in Jinwi stream basin, the result of comparison between existing method with simplified land category (Scenario 1) and enhanced method with level II land cover (Scenario 2) showed high uncertainty in existing method. TP loads estimated by Scenario 2 for land covers included in the site land category were in the range of 3.45 to 56.69 kg/day, in which TP loads differed by sixteen times as much among them. For application of scenario 2 to TMDLs, Land TP loads were estimated by matching level II land cover to 28 land categories in serial cadastral map (Scenario 3). In order to verify accuracy of TP load estimation by scenario 3, the simulation result of L-THIA was compared with that and the difference between the two was as little as 10%. The result of this study is expected to be used as primary data for accurate estimation of land pollutant load in TMDLs.