• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.257-270
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• 2005

Many studies states that improperly uprising of infrastructure may cause leading the forest degradation and canopy reduction in many tropical forest of Asian countries. Other studies revealed that habitat destruction and fragmentation, edge effects, exotic species invasions, pollution are provoked by roads. Similarly, environmental effects of road construction in forests are problematic. Similarly, many researches have been indicated that roads have a far greater impact on forests than simply allowing greater access for human use. Moreover, people using river as means of transportation hence illegal logging and felling cause canopy depletion in many countries. Therefore, it is important to comprehend the study about spatial relation of road, river and suburb followed by temporal change of forest canopy phenomena. This study also tried to examine the effect of road, river and suburb in forest canopy density change of Terai forest of Nepal from you 1988 to 2001. So, Landsat TM88, 92 and 001 and FCD (Forest Canopy Density) mapper were used to perform the spatial .elation of canopy density change. ILWIS (Integrated Land and Water Information System) which is GIS software and compatible with remote sensing data was used to execute analysis and visualize the results. Study found that influence of distance to suburb and river had statistically significance influenced in canopy change. Though road also influenced canopy density much but didn't show a statistical relation. It can be concluded from this research that understanding of spatial relation of factors respect with canopy change is quite complex phenomena unless detail analysis of surrounding environment. Hence, it is better to carry out comprehensive analysis with other additional factors such as biophysical, anthropogenic, social, and institutional factors for proper approach of their effect on canopy change.

• Journal of Environmental Impact Assessment
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• v.27 no.5
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• pp.447-474
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• 2018

The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification,respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.15-20
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• 2006

For grouping the direction of improvement in the classification of surveying jobs, watching for internal surveying jobs, it has a purpose to present the direction of improvement. KSCO based on ISCO-88 was identifed with having independent special surveyors differing from foreign surveying jobs classification. Strandard Industry Classification of foreign survey is classifying KSCO of survey detailed. thus, the improvement of survey jobs classification of KSCO is urgent to produce, analyze and process the data about the same field for classifying survey information industry efficiently and systematically. It is changing from analog survey to digital survey applying a new technology such as GPS, GIS, RS. thus, the field of geoinformation is needed to classify and improve newly.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.70-74
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• 1999

Remote sensing (RS) data show the surfaces of the earth only but cannot provide the shape data of building sides. The proposed method recovers a 3D shape of building sides from stereo images. Its result shows a higher possibility for recovering a large shaped object by overcoming the difficulties of traditional stereo matching techniques. The urban area will be visualized more realistically than the current model based on graphic and vector data.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.687-690
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• 2005

Recently there have been a lot of kinds of damages in forest area such as forest fires, forest pest, landslide so that the efficient methods to mange those information and the way to face them are deadly needed. In this study, there were preparing the various vegetation index map and comparing them with the field surveying the tried to figure out which vegetation index algorism is the best proper to present forest fire damaged area. These all were based on Landsat ETM+ satellite image (2000.10.16). The result of this study is to select the high correlation algorism among the various vegetation indexes and then construct the forest fire disaster map, the case of forest fires damaged area.

• KCID journal
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• v.4 no.1
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• pp.10-21
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• 1997

지상관측위성에 탑재된 센서로부터 얻어진 자료는 지리정보데이터로 그 이용이 증가되고 있다. 이 연구에서는 신규간척지에서의 토지이용계획을 수립하기 위하여 위성자료를 이용한 원격탐사와 지리정보 체계를 종합하는 방법의 적용가능성을 다루고 있다. 현재 공사중인 간척사업지구를 커버하는 LANDSAT TM, MOS, SPOT 디지털데이터를 영상화하고, 영산강 3단계 사업지구 유역의 토지이용 현황을 분석하였으며, 신규간척지의 토지이용계획을 위하여 동원가능한 데이터를

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.261-265
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• 2004

The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat＋ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.215-220
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• 2004

유역수문모형에서 SCS방법 적용시 입력되는 주요 매개변수인 유역평균 CN값은 RS와 GIS를 적용하면 쉽게 계산이 가능하나, 입력자료의 종류 및 공간해상도의 선택에 따라 같은 자료일 지라도 다르게 계산된다. 본 연구에서는 Landsat 7 ETM+,SPOT 5, 1:25,000 토지이용현황도, 정밀토양도, 개략토양도를 이용하여 2.5m, 30m 공간해상토의 자료로부터 유역평균CN을 계산하였으며, 이들을 각각 2.5m～1000m 크기의 격자로 재배열하여 유역평균을 비교함으로서 해상도가 유역 CN값 변화와 어떠한 관계가 있는지 분석하고자 하였다. 분석결과 해상도에 따라 일정구간 이상에 대하여 오차를 나타내고 있었으며, 자료의 선택에 따라 유역평균 CN 값의 변화가 있는 것으로 분석되었다.

• Proceedings of the KIEE Conference
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• 2006.10a
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• pp.180-181
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• 2006

In this paper, there have been brief review about the important consideration in laboratory planning and construction of the reliability assessment infrastructure including 400 kV, 120 kVA AC test system, which enable to evaluate the HV long-term overcharged withstand performance for spacers using in Gas Insulated Switchgears up to transmission class, Also it is described simply about its trial running of the whole test system and its assessment example. To inform the founded national code, RS C 0084, and the procedure for getting a reliability assessment certificate issued by the government, brief description of the code and summation of test results have been conducted.

• Korean Journal of Remote Sensing
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• v.18 no.3
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• pp.163-169
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• 2002

The land uses of Korean peninsula are very complicated and high-density. Therefore, the image classification using coarse resolution satellite images may not provide good results for the land cover classification. The purpose of this paper is to compare the classification accuracy of visual interpretation with that of digital image classification of satellite remote sensing data such as 20m SPOT and 30m TM. In this study, hybrid classification was used. Classification accuracy was assessed by comparing each classification result with reference data obtained from KOMPSAT-1 EOC imagery, air photos, and field surveys.