• Current Research on Agriculture and Life Sciences
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• v.13
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• pp.31-44
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• 1995

Mt. Kumjeong is located in south-eastern part of the Korean Peninsular($129^{\circ}$01' to $129^{\circ}$05' E, $35^{\circ}$03' to $35^{\circ}$17' N) and the altitude of the summit is 802 meter. In order to find out the vegetation units which made it possible to classify subtropical forest and south-temperate forest, Mt. Kumjeong (which is located in a border of between subtropical forest and south-temperate forest) was selected as a study area. The primary result of actual vegetation analysis in Mt. Kumjeong based upon the vegetation community analysis methods by the ZM-school, and the relationships between vegetation community and two parameters(altitude, topography) analyzed by using coincidence analysis method were summarized as followings. 1. Based upon analytic methods of the vegetation community by the ZM-schools, the primary analytic result of the analysis of vegetation community in Mt. Kumjeong was divided into 10 communities, 9 groups, 2 subgroups. 2. Eurya japonica group of Pinus densiflora community out of 16 vegetation units was thought as a indicator vegetation group which made it possible to border subtropical forest and south-temperate forest. 3. Natural regeneration of Stewartia koreana group was thought to be difficult because seedling and sapling was rarely showed, 4. In relationship between vegetation units and altitude, Carpinus tschonoskii community, Quercus variabilis community, Quercus serrata community, Wisteria floribunda community,. Eurya japonica group of Pinus densiflora community, Pinus thunbergii community mainly distributed below altitude 500 meter, and Quercus mongolica community, Typical group of Pinus densiflora community, Quercus dentata community, Carpinus coreana community, Quercus acutissima community mainly distributed above altitude 500 meter. 5. In relationship between vegetation units and topography, Carpinus tschonoskii community, Quercus variabilis community, Quercus serrata community, Wisteria floribunda community,. Eurya japonica group of Pinus densiflora community distributed below middle slope, Quercus mongolica community, Typical group of Pinus densifiora community, Quercus dentata community, Carpinus coreana community, Pinus thunbergii community Quercus acutissima communily clistributed above midclle slope.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.466-469
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• 2005

In this study e-map component was designed and developed to possibly overlay with all kinds of thematic maps in various scales and provide the all detailed information by using high-resolution satellite image and GIS. Also, this system has powerful map composition tool to display map such as legend, scale bar, index map and so on. For this, this e-map component was designed by using UML and developed based on Windows 2000 and implemented by using Visual Basic 6.0 as development programming language, Map Objects 2.1 of ESRI as GIS component. Through this system, the forest officials could generate more detailed topography and desired thematic map. In addition, the data consistency in DBMS could be maintained by using SDE (Spatial Database Engine) for their job and share the standard forest database with others in real time.

• Journal of Environmental Impact Assessment
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• v.7 no.2
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• pp.27-35
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• 1998

In Korea, the initial installation of GIS requires lots of cost, time, and human efforts. If the accuracy of GIS data does not meet the certain standard for use, the system may not work as expected. So, it needs to be investigated for the accuracy of raw data. However, there is little study for the accuracy of raw data in Korea. Therefore, the purpose of this study is to review the data accuracy of raw data - geologic map, 1:5,000 and 1:25,000 scale topographic map, forest stand map, degree of green naturality(DGN) map, and detailed survey data of DGN map-, which are to be used in Environmental Information System(EIS) in Korea. After this study, some errors in data were surveyed and following conclusions were derived. (1) There is no map data, e. g, wildlife habitat map. (2) Some data are misinterpreted depending on the location in the geologic map. (3) Some data are not updated properly after change of topography in the topographic map or the elevation and location is different depending on the scale.. (4) Some data are not edited properly in the forest stand map, e. g. two attributes in one polygon. (5) DGN classification system does not reflect the characteristic of Korean vegetation community. So, it needs to be refined and restructured.

• Korean Journal of Agricultural and Forest Meteorology
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• v.6 no.3
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• pp.164-169
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• 2004

A spatial interpolation scheme incorporating local geographic potential for cold air accumulation (TOPSIM) was used to test the feasibility of operational frost warning in Chatancheon basin in Yeoncheon County, where the introduction of new crops including temperate zone fruits is planned. Air temperature from April to June 2003 was measured at one-minute intervals at four locations within the basin. Cold-air accumulation potentials (CAP) at 4 sites were calculated for 3 different catchment scales: a rectangular area of 65 x 55 km which covers the whole county, the KOWACO (Korea Water Corporation) hydrologic unit which includes all 4 sites, and the sub-basins delineated by a stream network analysis of the digital elevation model. Daily minimum temperatures at 4 sites were calculated by interpolating the perfect prognosis (i.e., synoptic observations at KMA Dongducheon station) based on TOPSIM with 3 different CAPs. Mean error, mean absolute error, and root mean square error were calculated for 45 days with no precipitation to test the model performance. For the 3 flat locations, little difference was detected in model performance among 3 catchment areas, but the best performance was found with the CAPs calculated for sub-basins at one site (Oksan) on complex terrain. When TOPSIM loaded with sub-basin CAPs was applied to Oksan to predict frost events during the fruit flowering period in 2004, the goodness of fit was sufficient for making an operational frost warning system for mountainous areas.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 1998.11a
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• pp.34-36
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• 1998

In Korea, the initial installation of GIS requires lots of cost, time, and human efforts, If the accuracy of GIS data does not meet the certain standard for use, the system may not work as expected. So, it needs to be investigated for the accuracy of raw data. However, there is little study for the accuracy of raw data in Korea. Therefore, the purpose of this study is to review the data accuracy of raw data - geologic map, 1:5,000 and 1:25,000 scale topographic map, forest stand map, degree of green naturality(DGN) map, and detailed survey data of DGN map - for fulfilling the expected use in Korea. After this study, some errors in data were surveyed and following conclusions were derived. (1) There is a lack of data, e. g, wildlife habitat map. (2) Some data are misinterpreted depending on the location in the geologic map. (3) Some data are not updated after change of topography in the topographic map. (4) Some data are not edited properly in the forest stand map. (4) DGN classification system does not reflect the characteristic of Korean vegetation community. So, it needs to be refined and restructured.

• The Korean Journal of Ecology
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• v.21 no.5_2
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• pp.501-518
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• 1998

Mt. Paektu(2,749.6m)m the biggest mountain in Northeast Asia, located on the border line of Korea and China is characterized as an aspite with broad gentle mountain area and rich biota. however, it seems that the study of forest vegetational feature or vegetation zones in the whole area of this mountain is not yet sufficient in spite of contribution by many investigators. in this paper thermal climatic approach was carried out for the determination of vegetation zones of the mountain with the meteorological data of four stations including Cheonjj and various vegetational data. the application of Warmth Index and/or coldness Index(Kira 1977) for the determination of forest vegetation boundary was useful also here, and their boundaries largely coincided with those of thermal indicies obtained in the Korean Peninsula(Yim and Kira, 1975), including the lapse rate of air temperature along increasing elevation. However, in the mountain the boundary of vegetation zones in not clear like those of mountains in Korea. It may be due so the topographic differences between this area and the Korean Peninsula. Besides, the broad ecotones between different vegetations in this area support the vegetation continum concept rather than the unit concept, and the limit of timber line or tree line reflects various hypothesis(Steven and fox 1991). Therefore, for the explantion of vegetation zone of this area should be considered topography or soil condition, for example, as known the hierachy of ecological units (zonobiomes, orobiomes and pedobiomes, Walter, 1973).

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.143-143
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• 2022

Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.3
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• pp.89-101
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• 2016

This study examined spatial disposition of wildlife highway mortality using road-kill GIS database and Naver panoramic 360 degree views to find out which habitat and road variables most influenced road-kill numbers for each mammal species and how the landscape and road elements are connected on highway. Road-kills on Yeongdong(YD) and Jungbu highway(JB) generally tended to be higher in natural barren, grassland and cropland due to its value of preferred habitats of nocturnal and multihabitat species like water deer(Hydropotes inermis argyropus), raccoon(Nyctereutes procyonoides) and hare(Lepus coreanus). Land cover in YD showed no difference between species (p=0.165) while JB did by species (p=0.001). This may be explained by disparate landscape between mountain and urban or the fact that YD in long term operation might have enabled consistent crossing pattern compared to JB experiencing continuous extension works which may in turn have deviated the road crossing. Although road-kill prevention effect of local topography alone was appreciable, compared to less significant or ineffective fence and guardrail, gentle slope declining in a direction to the road turned out to offset the preventive effect of juxtaposed fence. Furthermore, green patches on road near intersection were deemed a visual stepping stone facilitating wildlife attempted crossing and local roads juxtaposed with a highway were especially left defenceless to road-kill without road barriers.

• The Korean Journal of Ecology
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• v.25 no.3 s.107
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• pp.153-161
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• 2002

This study was carried out to classify forest vegetation of the Mt. Naeyeon with phytosociological analysis of ZM school and to explain ordination of communities with CCA. The research sites were located between the northern part of Pohang-si area and the southern part of Yeongdeok-gun area. The 70 plots consisted of 253 species were investigated. The forest vegetation was classified into Quercus mongolica community, Q. variabilis community, Pinus densiflora community, Carpinus laxiflora community and Zelkova serrata community. Q. mongolica community was divided into 2 groups such as Rhododendron schlippenbachii group and Euonymus oxyphyllus group and Q. variabilis community was divided into 3 groups such as Syneilesis palmata group, Lespedeza$\times$tomentilia group and Tilia mandshurica group, and Z. serrata community was divided into 2 groups such as Carpinus cordata group and Diospyros lotus group. According to the results of CCA ordination, Q. mongolica community showed high positive correlation to altitude and topography, whereas it showed negative correlation to bare rock. But Z. serrata community showed the opposite tendency to Q. mongolica community, Altitude was considered as the most important factor among 5 environmental variables in the correlation with axes.

• Korean Journal of Environment and Ecology
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• v.28 no.2
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• pp.205-214
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• 2014

The purpose of this study is to suggest vegetation management method as the cultural landscape forest of Dongbaek Island which is the district monument. The study area was $20,000m^2$ around the peak area in management as the nature sabbatical area. Vegetation structure type was classified with the criteria of topography, vegetation, management and the management plan was derived from the vegetation structure analysis according to the types. Vegetation structure types were Management-Camellia japonica, Non-management-Eurya japonica, Non-management-Rugged area-Eurya japonica. As the result of vegetation structure, Pinus thunbergii dominated in canopy layer and Camellia japonica and Eurya japonica dominated in Type I and in Type II and III, respectively. Especially, Machilus thunbergii as the climax species in the warm temperate forest were distributed centering shrubs, and as the result of distribution of diameter of breast height, middle size of Celtis sinensis and Machilus thunbergii were distributed in type I, II. Machilus thunbergii were distributed in range of 4 to 44 individuals through the all types. Mean age of canopy layer was 66 year-old and sub-canopy layer was 22.9 year-old. Shanon's species diversity was analysed from 0.5472 to 0.8646. As the vegetation management direction of Dongbaek island, managed Camellia japonica forest was suggested to maintain the regular management and non-managed Eurya japonica forest was required to remove the Eurya japonica and plant the Camellia japonica. In case of non managed Eurya japonica forest in rugged area, vegetation succession was required to laurel forest.