• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.383-383
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• 2005

• 한국지구물리탐사학회:학술대회논문집
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• 2011.10a
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• pp.187-188
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• 2011

• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.3
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• pp.50-57
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• 2002

The restoration techniques of large disturbed land containing native forest resources and soil animals were investigated on the new campus area of Kyushu University in Japan. Important techniques to restore native forest and biodiversity in that area are transplantation of existing large trees, transplantation of the forest soil, transplantation of native tree stools, and the reuse of wood and bamboo chips. The benefits can be obtained by using these methods. Firstly, the native genetic resources that would be discarded as part of the land development can be reused. Secondary, the time taken to become a high growth forest as opposed to the practice of planting saplings or grass seeds can be reduced. At last, the native forest ecosystem containing various under-story vegetations and soil animals can be conserved and regenerated. In addition, big and small ponds were constructed in the biodiversity preservation zone to preserve rare plants, rare animals, and native aquatic animals. And these plants and animals were transplanted and moved to ponds.

• Journal of Forest and Environmental Science
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• v.24 no.3
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• pp.151-154
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• 2008

Dramatic price increases of fossil fuels and the economic development of emerging nations accelerates the transformation of forest lands into monocultures, e.g. for biofuel production. On this account, cost efficient methods to enable the monitoring of land resources has become a vital ambition. The application of remote sensing techniques has become an integral part of forest attribute estimation and mapping. The aim of this study was to evaluate the potentials of the kNN method by combining terrestrial with remotely sensed data for the development of a pixel-based monitoring system for the small scaled mosaic of different land use types of the off-reserve forests of the Goaso forest district in Ghana, West Africa. For this reason, occurrence and distribution of land use types like cocoa and non-timber forest resources, such as bamboo and raphia palms, were estimated, applying the kNN method to ASTER satellite data. Averaged overall accuracies, ranging from 79% for plantain, to 83% for oil palms, were found for single-attribute classifications, whereas a multi-attribute approach showed overall accuracies of up to 70%. Values of k between 3 and 6 seem appropriate for mapping bamboo. Optimisation of spectral bands improves results considerably.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.117-117
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• 2020

The main objective of this study was to setup model and evaluate the model performance for streamflow simulation in Burundi using Soil and Water Assessment Tool (SWAT) model. The total area of Burundi is 27,834 ㎢. The elevation of Burundi ranges from 780 m to 2,700m. The West and East are low lands, while the Central part is high land. The topographic data (30 meters Digital Elevation Model) and land use and land cover data of Burundi were obtained respectively from Shuttle Radar Topography Mission (SRTM) and the Regional Centre for Mapping of Resources for Development (RCMRD). The soil data used was obtained from Food and Agriculture Organization (FAO). The local weather data and discharge data were provided by Burundi Hydro meteorological Service (IGEBU). Mean Areal Precipitation (MAP) and Mean Areal Temperature (MAT) were estimated. The streamflow simulation was done for the period 1980-2017. The calibration and validation of river discharge was performed at a daily time step from 2005 through 2011 as the calibration period and 2012 up to 2017 as the validation period. The findings show that streamflow decreases during Jun to September and increases during March to May and October to December.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.09a
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• pp.361-363
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• 2004

• Journal of Korean Society of Forest Science
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• v.90 no.4
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• pp.535-542
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• 2001

The objective of this study is to develop a spatial analysis modeling technique to evaluate the functional suitability of forest lands for land slide prevention. The functional suitability is classified into 3 categories of high, medium and low according to the potential of land slide on forest lands. The potential of land slide hazards is estimated using the measurements of 7 major site factors : slope, bed rock, soil depth, shape of slope, forest type and D.B.H. class of trees. The analytic hierarchical process is applied to determining the relative weight of site factors in estimating the potential of land slides. The spatial analysis modeling starts building base layers for the 7 major site factors by $25m{\times}25m$ grid analysis or TIN analysis, reclassifies them and produces new layers containing standardized attribute values, needed in estimating land slide potential. To these attributes, applied is the weight for the corresponding site factor to build the suitability classification map by map algebra analysis. Then, finally, cell-grouping operations convert the suitability classification map to the land unit function map. The whole procedures of the spatial analysis modeling are presented in this paper.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.4 s.117
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• pp.105-115
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• 2006

Biotope Area Ratio ($BFF; BiotopFl{\"{a}}chenFaktor$) was developed in Berlin, Germany in 1990s and introduced to Korea in 1999. It is the ratio of the uncovered soil areas which have the natural circulating capability compared to whole development areas. This study seeks for alternative ways to increase Biotope Area Ratio of residential areas in the metropolitan areas of Korea by investigation on new housing developments. The study investigates four new towns including Seoul Eunpyung new town, Yongin Kusung district, Goyang Pungdong and Juyeopdong districts and Hwasung Dongtan district. The Biotope Area Ratio of study sites is between 23.51 % and 40.69%. This result is not relevant to land use conditions, such as the building-ta-land ratio, natural ground green area ratio. This ratio satisfies the minimum requirements of City of Seoul, except 2 sites. Considering that the study sites are relatively low density land use areas compared to Seoul's average, thus, a higher standards is necessary for new town housing complexes. Because Biotope Area Ratio includes artificial ground green area ratio, Biotope Area Ratio is possible can be increased with decreased natural ground green area ratio. And so, when Biotope Area Ratio is applied to new town development, it must go side by side with a definite natural ground green area ratio.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1943-1947
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• 2007

The objective of this research was to find a direct and indirect method to estimate land surface temperature (LST) efficiently, using Landsat images and in-situ measurement. Agricultural fields including paddy fields have long been known to have multi-functions beneficial to the environment and ecology of the urban surrounding areas. Among these functions, the ambient temperature cooling (ATC) effect are widely acknowledged. However, quantitative and regional assessment of such effect has not had many investigations. Thermal remote sensing has been used over urban areas to assess ATC effect, to perform land cover classifications and as input for models of urban surface atmosphere exchange. Here, we review the use of thermal remote sensing in the study of paddy fields and urban climates, focusing primarily on the ATC effect. Landsat satellite images were used to determine the surface temperatures of different land cover types of a $441km^2$ study area in Cheongju, Korea. The results show that the ATC are a function of paddy area percentage in Landsat pixels. Pixels with higher paddy area percentage have more significant cooling effect.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.7-7
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• 2015

가뭄 및 홍수 등 재해를 방지하고 효율적인 물 관리를 위해서는 지표와 대기 사이에 이루어지는 수문기상 요소의 정량화가 필요하다. 수문기상요소는 관측을 통해 파악하는 것이 가장 정확하지만 광범위한 지역에 대한 관측은 한계가 있으므로 일반적으로 지면모델(Land Surface Model)을 많이 이용한다. 본 연구에서 Noah LSM(Noah Land Surface Model)과 TOPLATS(TOPmodel based Land-Atmosphere Transfer Scheme) 및 DHSVM(Distributed Hydrology Soil Vegetation Model)의 세 모델을 활용하여 안동댐 유역의 수문기상정보를 산출하고 관측자료와 검증함으로 각 모델의 특성을 분석하자 한다. 본 연구에서 사용된 관측자료는 국립기상과학원에서 운영중인 안동댐 유역 플럭스타워의(A6, A7) 지표근처 기상장과 에너지 요소이다. '13년 10월부터 '14년 11월까지 기간에 대해 각 지점에서 관측된 현열 및 잠열 플럭스의 품질관리를 수행하였으며, 이 자료를 본 연구의 검증자료로 활용하였다. 각 모델을 강제하기 위한 지표근처 기상자료는 두 지점에서 관측된 기온, 풍향 풍속, 상대습도, 강수, 지중온도 및 장 단파 복사량이며, 각 모델에서 산출된 잠열 및 현열 플럭스, 토양수분과 증발산량을 관측값과 비교 검증하였다. 본 연구결과는 한국수자원학회 학술발표회를 통하여 소개될 예정이며, 향후 멀티모델 앙상블 시스템 구축에 기초자료로 활용될 것으로 기대된다.