• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.439-442
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• 1999

It is important to analyze the seasonal change profiles of land cover type in large scale for establishing preservation strategy and environmental monitoring. Because the NOAA-AVHRR data sets provide global data with high temporal resolution, it is suitable for the land cover classification of the large area. The objectives of this study were to classify land cover of Korea, to investigate the phenological profiles of land cover. The NOAA-AVHRR data from Jan. 1998 to Dec. 1998 were received by Korea Ocean Research & Development Institute(KORDI) and were used for this study. The NDVI data were produced from this data. And monthly maximum value composite data were made for reducing cloud effect and temporal classification. And the data were classified using the method of supervised classification. To label the land cover classes, they were classified again using generalized vegetation map and Landsat-TM classified image. And the profiles of each class was analyzed according to each month. Results of this study can be summarized as follows. First, it was verified that the use of vegetation map and TM classified map was available to obtain the temporal class labeling with NOAA-AVHRR. Second, phenological characteristics of plant communities of Korea using NOAA-AVHRR was identified. Third, NDVI of North Korea is lower on Summer than that of South Korea. And finally, Forest cover is higher than another cover types. Broadleaf forest is highest on may. Outline of covertype profiles was investigated.

• 경영과정보연구
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• 제3권
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• pp.15-45
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• 1999

Processing techniques of remote sensed image data using computer have been recognized very necessary techniques to all social fields, such as, environmental observation, land cultivation, resource investigation, military trend grasp and agricultural product estimation, etc. Especially, accurate classification and analysis to remote sensed image da are important elements that can determine reliability of remote sensed image data processing systems, and many researches have been processed to improve these accuracy of classification and analysis. Traditionally, remote sensed image data processing systems have been processed 2 or 3 selected bands in multiple bands, in this time, their selection criterions are statistical separability or wavelength properties. But, it have be bring up the necessity of bands selection method by data distribution characteristics than traditional bands selection by wavelength properties or statistical separability. Because data sensing environments change from multispectral environments to hyperspectral environments. In this paper for efficient data classification in multispectral bands environment, a band feature extraction method using the Rough sets theory is proposed. First, we make a look up table from training data, and analyze the properties of experimental multispectral image data, then select the efficient band using indiscernibility relation of Rough set theory from analysis results. Proposed method is applied to LANDSAT TM data on 2 June 1992. From this, we show clustering trends that similar to traditional band selection results by wavelength properties, from this, we verify that can use the proposed method that centered on data properties to select the efficient bands, though data sensing environment change to hyperspectral band environments.

• 한국농림기상학회지
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• 제7권1호
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• pp.115-123
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• 2005

농림생태계에서의 물과 탄소의 순환을 연구하려면, 먼저 관측지의 공간적 특성을 정량적으로 이해해야 한다 특히, 우리나라와 같은 복잡한 경관에 관측지가 위치한 경우에는 공간 특성의 이해가 더욱 더 중요하다. 본 연구에서는 광릉 산림 소유역의 지형, 식생 및 토양과 관련된 변수들의 공간적 특성을 정량화하였다 지형의 공간 특성을 산출하기 위해 수치고도 모형 (DEM)에서 계산된 고도, 경사 및 사면 정보를 분석하였다. 식생과 토양 정보는 LANDSAT TM 영상으로부터 제작된 지표 피복 지도를 사용하였다. 계절 특성을 살펴보기 위해 1999년 6월 30일, 2000년 9월 4일, 2001년 9월 23일, 2002년 2월 14일의 네 위성 영상을 사용하였다. CO₂와 수증기의 플럭스 지수로서, 위성 영상으로부터 식생지수 NDVI를 세 격자 크기 (7km x 7km MODIS 격자, 3km x 3km 집중관측 격자, 1km x 1km 단위 격자)에 대해 각각 도출하였다. 반분산 분석에 근거해서 이 자료들을 사용하여 관측지의 비균질성의 공간 규모를 계산하였다. 예상한대로, 격자의 크기가 작아질수록 비균질성의 규모가 작아졌고, 식생의 계절 변화에 민감하였다. 40m 플럭스 타워가 위치한 두 단위 격자의 경우, 비균질성의 공간 규모는 200～1000m 이었고, 이러한 공간 규모는 모형에서 계산된 타워 플럭스 발자국의 기후도와 잘 일치하였다.

• 한국지리정보학회지
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• 제7권3호
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• pp.57-69
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• 2004

본 연구는 낙동강 하구 일대의 생태계 변화와 생태 관련자료를 GIS DB로 구축하고 생태지도를 작성하였다. 생태지도 작성을 위해 1984년 11월 21일, 1997년 5월 17일에 촬영된 공간해상도 30m의 Landsat TM 위성영상과 국립지리원에서 발행된 1:25,000 수치지형도, 부산시에서 조사한 생물현황 자료를 바탕으로 DB를 구축하였다. 생태지도를 작성하기 위해, 첫째, 낙동강 하구 생태계 조사 보고서와 현재까지 진행된 생태지도에 대한 문헌 연구, 둘째, 시계열적 토지피복분류도 제작, 셋째, 동 식물상, 수질 등 생태계 항목별 DB 구축과 3단계 방식에 의한 생태계 평가, 최종적으로는 이러한 분석 결과를 바탕으로 생태계 관리를 위한 생태지도를 작성하였다.

• 대한원격탐사학회지
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• 제27권3호
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• pp.339-351
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• 2011

This study investigates the potentials of satellite, ground measurement data, and geo-spatial information within an urban area for the mapping of the Urban Environmental Quality (UEQ) parameters. The UEQ indicates a complex and various parameters resulting from both human and natural factors, which are greenness, climate, air pollution, the urban infrastructure, and etc. Multi-spectral remote sensing data from the Landsat ETM and TM sensors for the mapping of air pollution by the Haze Optimized Transform (HOT) technique, Urban Heat Island (UHO using the emissivity-fusion method in Seoul from 2000 to 2006 in fine resolution (30m) were analyzed for the estimation of UEQ index. Although the UHI values are similar ($8.4^{\circ}C{\sim}9.1^{\circ}C$) during these years, the spatial coverage of "hot" surface temperature (> $24^{\circ}C$) significantly increased from 2000 to 2006 due to the rapid urban development. Furthermore, high correlations between vegetation index and land surface temperature were achieved with a correlation coefficients of 0.85 (2000), 0.81 (2001), 0.84 (2002), and 0.89 (2006), respectively. It was found that the proposed method was successfully analyzed spatial structure of the UEQ and the scenarios of the best and worst areas within the city were also identified. Based on the quantifiable fine resolution satellite image parameters, UEQ can promote the understanding of the complex and dynamic factors controlling urban environment.

• 한국산림과학회지
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• 제101권4호
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• pp.547-557
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• 2012

본 연구는 강원대학교 학술림을 대상으로 현장조사자료와 Landsat TM-5 위성영상 정보를 이용하여 k-NN기법을 통해 산림바이오매스를 추정하는 것을 목적으로 하였다. 임상 층화 및 최소수평 참조거리(HRA)와 공간필터링의 조건변화에 따른 최적의 참조표본점 개수(k)를 검토하였으며, 이에 따른 산림바이오매스량 추정과 정확도를 비교 분석하였다. 침엽수는 $5{\times}5$ 필터링을 적용한 HRA 4 km와 k=8를 적용하였을 때 최소의 RMSE를 나타냈으며, 편차는 1.8 t/ha으로 과대추정되었다. 한편, 잣나무와 활엽수는 필터링을 적용하지 않은 HRA 4km의 k=8과 HRA 10 km의 k=6을 적용하였을 때 최소의 RMSE가 나타났으며, 편차는 각각 -1.6 t/ha, -5.2 t/ha로 과소추정되었다. k-NN기법에 의하여 추정된 총 바이오매스량은 799천t이며, ha당 평균 산림바이오매스량은 237 t/ha로서 표본점자료를 이용한 추정치보다 약 1 t/ha 높게 나타났다.

• 대한원격탐사학회지
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• 제5권2호
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• pp.109-122
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• 1989

The ISODATA method, which is one of the most famous of the square-error clustering methos, has been applied to two Chungju multivariate data sets in order to evaluate the effectiveness of the regional lithological mapping. One is an airborne radiometric data set and the other is a mixed data set of the airborne radiometric and Landsat TM data. In both cases, the classification of the Bulguksa granite and the Kyemyongsan biotite-quartz gneiss are the most successful. Hyangsanni dolomitic limestone and neighboring Daehyangsan quartzite are also classified by their typical lowness of the radioactive intensities, though it is still confused with some others such as water-covered areas and nearby alluvials, and unaltered limestone areas. Topographically rugged valleys are also classified as the same cluster as above. This could be due to unavoidable variations of flight height and the attitude of the airborne system in such rugged terrains. The regional geological mapping of sedimentary rock units of the Ockchun System is in general confused. This might be due to similarities between different sediments. Considarable discrepancies occurred in mapping some lithological boundaries might also be due to secondary effects such as contamination or smoothing in digitizing process. Further study should be continued in the variable selection scheme as no absolutely superior method claims to exist yet since it seems somewhat to be rather data dependent. Study could also be made on the data preprocessing in order to reduce the erratic effects as mentioned above, and thus hoprfully draw much better result in regional geological mapping.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.259-263
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• 2006

Development and maintenance of forests are very important at Korea which has mountainous topography of more than 60% of the national territory. Under the circumstances, variety period's data is being required for the continuous monitoring of forest area. In this study, change of forests type was analyzed using Landsat TM satellite image which have multi-spectral bands. Furthermore, change detection system for forests type was constructed on web for the periodical monitoring. By using this system, everyone can easily use for the monitoring of forest type's periodical change.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.256-261
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• 1999

Global vegetation change is one of major global concerns. Remote sensing images provide an efficient and useful data source to estimate global vegetation covers, and a number of methods have been proposed to estimate them. Among them, the NDVI is one of the most popular indices, and it is_easy to calculate with simple image computing. However, this index is very much affected by the radiometric environment of sensing such as atmospheric conditions and the sun illumination angle. Therefore, it is not appropriate to apply the NDVI to investigate seasonal changes. This paper discusses these problems and proposes an alternative index, MODVI(Modified Vegetation Index), that is less affected by radiometric environment changes. An experiment was conducted to compare these two indices using temporal Landsat TM sub-scenes.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2001년도 춘계 학술대회 논문집 통권 4호 Proceedings of the 2001 KSRS Spring Meeting
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• pp.42-48
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• 2001

오늘날 원격탐사와 GIS를 이용한 시·공간적 분석은 인간활동에서부터 자연환경에 이르기까지 다양한 정보를 추출하기 위한 기법으로 자주 사용되고 있다. 본 연구는 위성원격 탐사자료와 GIS를 활용하여 시기별 도시지역에서의 열 분포 특성을 추출하여 토지피복과의 상관관계를 시·공간적으로 해석하였다. 이를 위하여 세 시기간 도시 열 분포의 특성을 도시성장과 함께 해석함과 동시에 보다 명확 하게 규명하기 위하여 Landsat TM band 6의 DN value를 이용한 지표온도 추출에 있어서 NASA 모델을 활용하여 대구시 주변지역 8개 지점의 AWS 실측 값과 서로 상관 분석한 결 과 평균 0.85의 상관정도를 얻었다. 또한 토지피복분류를 통하여 도시성장에 따른 열 분포 및 식생지수의 변화를 시·공간적으로 해석하기 위하여 1,000지점에서 sample 자료를 추출 하여 지형특성별 열 분포의 패턴을 분석하였다. 이와 같은 결과는 향후 도시환경 특성을 고 려한 환경 친화적인 도시계획수립에 있어서 중요한 인자로 작용할 것으로 사료된다.