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김효정,이미정,지윤의,이규석,송호경 忠南大學校 環境問題硏究所 2002 環境硏究 Vol.20 No.-
대전에 위치한 금병산과 적오산의 식생을 분류하기 위하여 연구가 수행되었다. 총 41개의 조사구에서 식물사회학적 방법으로 조사를 하였다. 이 지역 산림식생은 크게 이차림식생과 조림식생으로 구분 되었다. 이차림 식생은 소나무군락, 상수리나무군락, 팽나무군락으로 구분되었다. 조림식생은 아까시나무군락, 리기다소나무군락, 일본잎갈나무군락, 곰솔군락으로 구분되었다. 본 조사지역에서 출현한 종수는 총 145종이었으며, 가중나무, 개망초, 미국자리공 아까시나무, 족제비싸리 등 총 5종의 귀화식물이 출현하였다. This study was carried out to classify forest vegetation community of Geumbyeongsan and Jeokosan in Daejeon. Employing the releve´ method of Dierssen, 41 plots were sampled. Forest community ws classified as second forest vegetation and afforestation vegetation. The second forest vegetation was classified into six communities such as Pinus densiflora community, Quercus acutissima community, Quercus serrata community, Quercus variabilis community, Quercus aliena community, and Celtis sinensis community. Afforestation vegetation was classified again as Robinia pseudoacacia community, Pinus rigida community, Larix leptolepis community, and Pinus thunbergii community. In the present study area, we found a total of 145 taxa. We found a total of five naturalized plants taxa of Ailanthus altissima, Erigeron annuus, Phytolacca americana, Robinia pseudoacacia, and Amorpha fruticosa.
김효정,이미정,지윤의,안승만,이규석,송호경 한국환경생물학회 2002 환경생물 : 환경생물학회지 Vol.20 No.3
본 연구는 계룡산국립공원의 지류인 도덕봉과 백운봉의 산림식생을 대상으로 식물사회학적 방법에 의해 산림군락을 분류하고 이 지역의 식생 현황 파악과 국립공원관리에 필요한 기초자료를 제공하고자 하였다. 식물사회학적 방법으로 89개 조사구를 분석한 결과, 신갈나무군락, 졸 참나무군락, 굴 참나무군락, 소나무군락, 서어나무군락, 리기다소나무-곰솔군락으로 구분되었다. 신갈나무군락은 해발고가 가장 높고 경사가 급한 지역에 분포하였으며,졸참나무군락은 해발고가 비교적 낮고 경사가 급한 지역에 분포하였다. 그리고 굴참나무군락은 신갈나무군락에 비해 해발고가 낮은 남사면의 건조한 지역에 분포하고 있었다. 소나무군락은 해발고가 비교적 높고 폭이 좁은 건조한 능선 부위에 분포하고 있으며, 서어나무군락은 주로 남사면 계곡부의 중부에 분포하고 있었 다. 그리고 리기다-곰솔군락은 조림군락이다. This study was carried out to classify forest vegetation community of Dodeokbong and Baekwunbong in Gyeryongsan. Employing the releve method of Dierssen, 89 plots were sampled. Forest community was classified into Quercus mongolica community, Quercus serrata community, Quercus variabilis community, Pinus densiflora community, Carpinus laxiflora community, and Pinus rigida-Pinus thunbergii community. Quercus mongolica community was found in high altitude and steep area, Quercus serrata community in relatively low altitude and steep slope area, and Quercus variabilis in southern arid and low area compared with Quercus mongolica community. Pinus densiflora community is present in relatively high altitude and narrow arid ridge area. And, Carpinus laxiflora community is mainly distributed in southern valley area. Pinus rigida-Pinus thunbergii community is planted community.
Assessing Sea Surface Temperature in the Yellow Sea Using Satellite Remote Sensing Data
Kyoo Seock Lee,Hee Sook Kang 大韓遠隔探査學會 1990 大韓遠隔探査學會誌 Vol.6 No.1
The first Marine Observation Satellite(MOS) was launched by National Space Development Agency of Japan on February 19, 1987, and it is equipped with three sensors covering visible, infrared, and microwave region. One of them is Visible and Thermal Infrared Radiometer(VTIR) whose main objective is to detect the Sea Surface Temperature (SST). The objective of this study was to process the MOS data using Cray 2 supercomputer, and to assess the SST in the Yellow Sea. In order to implement this objective, the linear regression model between the ground truth data and the corresponding digital number of VTIR in MOS was used to establish the relationship. After testing the significance of the regression model, the SST map of the whole Yellow Sea was derived based on the model. The digital SST map representing the study area showed certain pat tern about the SST of Yellow Sea in March and April. In conclusion, the VTIR data in MOS is also useful in investigating SST which provides the information about the Yellow Sea water current in the spring.
The Comparison of Visual Interpretation & Digital Classification of SPOT Satellite Image
Lee, Kyoo Seock,Lee, In Soo,Jeon, Seong Woo 대한원격탐사학회 1999 International Symposium on Remote Sensing Vol.15 No.1
The land use type of Korea is high-density. So, the image classification using coarse resolution satellite image may not provide land cover classification results as good as expected. The purpose of this paper is to compare the result of visual interpretation with that of digital image classification of 20 m resolution SPOT satellite image at Kwangju-eup, Kyunggi-do, Korea. Classes are forest, cultivated field, pasture, water and residential area, which are clearly discriminated in visual interpretation. Maximum likelihood classifier was used for digital image classification. Accuracy assessment was done by comparing each classification result with ground truth data obtained from field checking. The classification result from the visual interpretation presented an total accuracy 9.23 percent higher than that of the digital image classification. This proves the importance of visual interpretation for the area with high density land use like the study site in Korea.
Assessing Sea Surface Temperature in the Yellow Sea Using Satellite Remote Sensing Data
Lee, Kyoo-seock,Kang, Hee-Sook The Korean Society of Remote Sensing 1990 大韓遠隔探査學會誌 Vol.6 No.1
The first Marine Observation Satellite(MOS) was launched by National Space Development Agency of Japan on February 19, 1987, and it is equipped with three sensons covering visible, infrared, and microwave region. One of them is Visible and Thermal Infrared Radiometer(VTIR) whose main objective is to detect the Sea Surface Temperature(SST). The objective of this study was to process the MOS data using Cray-2 supercomputer, and to assess the SST in the Yellow Sea. In order to implement this objective, the linear regression model between the ground truth data and the corresponding digital number of VTIR in MOS was used to establish the relationship. After testing the significance of the regression model, the SST map of the whole Yellow Sea was derived based on the model. The digital SST map representing the study area showed certain pattern about the SST of Yellow Sea in March and April. In conclusion, the VTIR data in MOS is also useful in investigating SST which provides the information about the Yellow Sea water current in the spring.
환경정보체계의 효과적 이용에 관한 고찰 - 원자료의 정확성을 중심으로 -
이규석 (Kyoo Seock Lee) 한국환경영향평가학회 1998 환경영향평가 Vol.7 No.2
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.