• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.322-322
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• 2011

지표에서의 토양수분은 작은 구성비를 가짐에도 불구하고 여러 수문 현상을 연계하는 매우 중요한 인자로써 최근 연구가 활발하게 진행되고 있다. 토양수분은 침투나 침루를 통하여 강우와 지하수를 연결하는 기능을 함과 동시에 강우사상에 따른 유출특성에 직접적인 영향을 미치며 증발산을 통하여 에너지 순환을 연결하는 기능을 하는 인자로 기후변화와 인간의 활동에 의해 영향을 받는다. 지난 수십 년간 산림개간과 도시화는 토지이용의 변화를 초래하여 토지피복의 변화를 초래하였다. 도시화는 불투수층을 증가시켰고, 산림개간으로 산림이 농장으로 변하여 침투율을 감소시켜 유출률의 증가를 초래하였다. 이처럼 토지피복의 변화는 토양수분의 변화에 직접적인 영향을 미친다. 본 연구에서는 토지피복 분류를 위해 구름의 영향이 적은 Landsat TM 영상을 사용하여 청미천 유역의 토지피복을 분류하여 토지피복도를 작성하였다. 청미천 유역은 현재 국제수문관측사업(IHP)의 일환으로 체계적인 수문관측이 진행되고 있는 지점으로, 추후 인공위성 영상을 통해 산정한 토양수분 자료를 비교할 수 있는 유역이다. Landsat TM 영상은 2009년 5월 23일에 관측된 115-34(path row) 영상으로 구름이 거의 없는 날의 자료를 사용하였다. 다중 스펙트럴 위성영상인 Landsat TM 영상은 30m 공간해상도로써 토지피복분류와 식생 등의 정보를 추출하는데 적합한 것으로 알려져 있다. 청미천 유역의 위성영상에 대하여 영상의 전처리 과정을 거쳐 무감독분류와 감독분류기법을 적용하여 토지피복을 분류하였다. 분류한 토지피복도는 국토해양부에서 국가수자원관리 종합정보시스템(WAMIS) 을 통하여 제공되는 토지피복도와 비교하였다.

• Journal of the Korean earth science society
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• v.25 no.8
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• pp.764-773
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• 2004

The soil in wildfire area Sacheon-myeon, Gangneung, Gangweon Province, Korea, were investigated to clarify pattern of the soils. The soils were classified into 5 types on the basis of vegetation, types of organic matter. thickness of soil horizons, and completeness of soil profile. Each type showed different erosion pattern and Landsat ETM image. Coverage of plant leaves, litter, root, ash and other organic matter was an important component that affected soil color and reflectance of Landsat image (digital number). Although the NDVI (Normalized Distribution Vegetation Index) method in the wildfire area did not show much difference in soil types, the applied supervised classification method showed characteristic pattern of Landsat ETM image of soil types. This study showed that the applied supervised Landsat TM image classification in wildfire area is an effective way to estimate the distribution of erosion pattern of soil in wildfire area.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.1
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• pp.62-74
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• 2004

Baekdu-daegan is the greatest mountain chain as well as the major ecological axis of the Korean Peninsula. In recent year, however, this area is faced with the various kinds of developmental urge. To cope adequately with these problems, this study was executed to prepare synthetic and systematic management with conservation-oriented strategy for Baekdu-daegan and to suggest spatially definite zoning for the managerial area. This study is to take into consideration the traditional concepts of stream and watershed as well as the actual disturbance on Baekdu-daegan area. The study area is selected with semi-mountainous type, from Namdeokyusan to Sosagogae. To propose the process for reasonably establishing the managerial boundary adjacent to the Ridges, the analysis was carried out that ArcGIS was mainly used for its analysis with digital maps, Landsat TM image and ArcGIS Hydro Model. Landsat TM image was classified by 5 land use types such as cultivated land, urban area, barren area, water body and forest. Based on these analyses results, the managerial boundaries as alternatives from the Ridges were produced by watershed expansion process, and used for tracing the changes of areal ratio of various land use types to the relevant watersheds to search out the adequate managerial boundary. The results show that watershed expansion process could be effective tool for establishing the managerial boundary, and eighth expanded watershed toward Muju-Gun(west) and fifth expanded watershed toward Geochang-Gun(east) might be included for the adequate managerial boundary of the case site.

• Korean Journal of Remote Sensing
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• v.18 no.2
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• pp.71-79
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• 2002

This research presents particulate distribution map of tidal flats of Hampyung bay using reflectance which extracted from satellite data and field survey data during same periods. The spectrum of particulate composition obtained from Landsat TM data was analysed and 7 scenes of satellite image were classified with ISODATA and K-MEANS methods. The results of unsupervised classification were estimated with in-situ data. The classification accuracy of ISODATA and K-MAMS methods were 84.3% and 85.7%. For validation of classified results of multi-temporal satellite images, TM image of May 1999(reference data), which was classified with field survey data was compared with classified results of multi-temporary satellite data.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.1-12
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• 2012

The agricultural area was classified into dry and paddy fields in this study using the near-infrared band of Landsat TM to extract land cover classes that need to the application of Expected Mean Concentration (EMC) in nonpoint source works. The accuracy of image classification of the land cover map from Landsat TM image showed 83.61% and 78.41% respectively by comparing with the large and middle scale land cover map of Ministry of Environment. As the result of Soil Conservation Service (SCS) Curve Number (CN) using the land cover map from image classification, Dongbok dam and Dongbok stream basin were analyzed high. Also Geymbaek water-gage and Bosunggang upstream basin showed high in the analysis of EMC of BOD, TN, TP by basin. And also Geymbaek water-gage and Bosunggang upstream basin showed high in the analysis of non-point source through coupling with direct runoff. Therefore these basins were selected with the main area for the management of nonpoint source.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.10 no.3
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• pp.77-85
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• 1990

This report is a study concerning the classification of the surface cover data applying the data of LANDSAT TM (Thematic Mapper). The purpose of this study was to reduce the cost of use for LANDSAT data and increase the accuracy of land cover classification. Especially, a using mehtod adopted in this paper was a unique optical method using OHP(Over Head Projector). It was found that a unique optical method can have significant effects upon the responses according to the present results in this study.

• Journal of Korea Water Resources Association
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• v.34 no.6
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• pp.597-604
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• 2001

The objective of the paper was to estimate the changes in acreages of tidal flats after the seawall construction at the Asan Bay and the Chunsu Bay from topographic maps, hydrographic charts, and Landsat TM images. The tidal floats from topographic maps published in one year differ significantly from that in the other, which appears to be attributed to the tide levels at the time of photographing. The hydrographic charts showed that tidal flats increase at rates of 22.3 ha/yr at the Asan Bay and 56.6 ha/yr at the Chunsu Bay after the dike construction. Applying the ISODATA method of unsupervised classifications for the Landsat TM images, the tidal flats were identified, and the resulting acreages for each image estimated. The resulting tidal flats increased at the rates of 21.3 ha/yr at the Asan Bay and 47.3 ha/yr at the Chunsu Bay during twelve years after the dike construction. It was found that the rates of the annual increases from the two data are very close and the differences result from the coastal lines at the charts and the TM images.

• Korean Journal of Remote Sensing
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• v.2 no.2
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• pp.79-94
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• 1986

TM data, which have better resolution in spatial and spectral than MSS data, were used for this study, and several Image Processing Techniques (IPT) were examined for finding the best IPT to fit to lineament extraction and mineralized zone mapping. The Ryeongnam area was selected as test area, because the area is one of major mineralized zones in Korea and its hydrothermal alteration zone is wider and deeper than other areas. The spatial filtering method is most optimum one for limeament extraction: that is, the directional spatial filtering is most efficient to detect N-S, E-W direction lineaments on the image, and the high boost filtering can be applied for mapping all direction lineaments. The ratio method was selected for detecting altered zone. It is possible to make several tens combinations in ratio with 7 bands of TM data, but considering spectral characteristics of each band of TM to the geological meterials and vegetation, the band 4/band 3(A), band 5/band 7(B), and B/A ratio methods were chosen among them. The 5/7 ratio image did not show clearly the altered area due to noise from vegetation cover, so the 4/3 ratio imae was used for trying to decrease the effect of vegetation. As a result the B/A ratio image showed quite nicely the altered zone of the test area. In conclusion, the spatial filtering is the best image processing techniques for lineament mapping, and the B/A ratio image in TM data is useful for the mineralized zone mapping.

• Proceedings of the KSRS Conference
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• 2001.03a
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• pp.116-121
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• 2001

경기만 지역은 세계최대 규모의 갯벌이 조성되어 해양생태계에서 중요한 역할을 수행하는 자연의 보고이나, 강한 조류운동, 한강 유역으로부터의 토사이동, 그리고 계속되는 연안 개발등 지속적인 영향을 받고 있다. 본 연구에서는 이러한 경기만 지역의 지리적·환경적 요인에 기인한 갯벌지역의 지난 30년 동안 공간적 변화를 분석하고자 한다. 해안선·조간대 지형의 변화 특성은 1972년부터 1999년까지 약 5년 간격으로 촬영된 Landsat MSS 와 TM 영상들을 이용하여 분석하였다. MSS와 TM의 공통적인 파장대이며, 물과 조간대의 경계가 뚜렷한 근적외선 파장대를 이용하여 간조시 갯벌의 경계선을 추출하였다. 각 시기의 수면, 갯벌, 육지를 나타내는 수치지도가 제작된 후, 이들을 중첩함으로써 시기별 변화유형을 구분하였고, 변화유형을 다시 원인에 따라 인공적인 요인과 자연적인 요인으로 나누었다. 의미있는 변화 유형은 크게 8가지로 나타났으며, 변화유형과 변화요인을 연계하여 경기만 지역의 변화특성을 도출하였다.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.842-845
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• 2004

The aim of this study is to compare the classification results for choosing the fuzzy membership function within fuzzy rules. There are various methods of extracting rules from training data in the process of fuzzy rules generation. Pattern distribution characteristics are considered to produce fuzzy rules. The accuracy of classification results are depended on not only considering the characteristics of fuzzy subspaces but also choosing the fuzzy membership functions. This paper shows how to produce various type of fuzzy rules from the partitioning the pattern spaces and results of land cover classification in satellite remote sensing images by adopting various fuzzy membership functions. The experiments of this study is applied to Landsat TM image and the results of classification are compared by fuzzy membership functions.