• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.744-744
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• 2012

불투수층은 자연적인 침투를 허용하지 않는 인위적인 토지피복상태로 도시화율 추정 및 유역의 환경변화 정도를 분석하기 위한 척도로 사용되어 왔다. 특히, 수문학적 관점에서 불투수층은 단기 유출현상에 큰 영향을 끼치는 요소로 불투수율이 증가할수록 침투량이 감소하여 첨두유출량은 증가하고 도달시간은 짧아진다. 최근에는 급속한 도시화로 인해 불투수층의 영향이 더욱 커짐에 따라 불투수율의 추정에 대한 필요성이 증가하고 있다. 현재까지 위성영상을 이용한 불투수층의 추정은 고해상도 영상을 이용하여 피복분류를 수행하였다. 즉, 분류된 토지피복에 근거하여 불투수율을 산술적으로 계산하거나 분광혼합기법 및 회귀 트리기법 등 다양한 방법에 적용되어 왔다. 본 연구에서는 Sub-pixel 분류기법을 위성영상에 적용하여 섬강유역의 불투수율을 추정하고자 한다. Sub-pixel 분류는 기존 분류기법들이 다양한 토지피복이 혼합된 화소에 대해서도 가장 비중이 높은 토지피복 하나로 분류하던 것을 개선한 방법으로 fuzzy 이론을 적용하여 최소 20% 이상의 비율을 점유하는 항목 모두를 구분하여 분류하는 기법이다. 이를 위해 섬강유역의 Landsat TM 영상을 수집하고 환경부의 토지피복도와 지질도를 참조하여 트레이닝 자료를 수집하였다. 또한 결과에 영향을 미칠 수 있는 구름은 전처리를 통하여 제거하고 수집된 트레이닝 자료에 Sub-pixel 분류기법을 적용하여 섬강유역의 불투수율을 공간분포도로 작성하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.1-4
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• 2001

The classification performance of Artificial Neural Network (ANN) and RBF-NN was compared for Landsat TM image. The RBF-NN was validated for three unique landuse types (e.g. Mixed landuse area, Cultivated area, Urban area), different input band combinations and classification class. The bootstrap resampling technique was employed to estimate the confidence intervals and distribution for unit load, The pollutant generation was varied significantly according to the classification accuracy and percentile unit load applied. Especially in urban area, where mixed landuse is dominant, the difference of estimated pollutant load is largely varied.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.4
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• pp.267-275
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• 2015

Those land cover maps have widely been used in various fields, such as environmental studies, military strategies as well as in decision-makings. This study proposes a method to extract training data, automatically and classify the cover using ingle satellite images and national land cover maps, provided by the Ministry of Environment. For this purpose, as the initial training data, those three were used; the unsupervised classification, the ISODATA, and the existing land cover maps. The class was classified and named automatically using the class information in the existing land cover maps to overcome the difficulty in selecting classification by each class and in naming class by the unsupervised classification; so as achieve difficulty in selecting the training data in supervised classification. The extracted initial training data were utilized as the training data of MLC for the land cover classification of target satellite images, which increase the accuracy of unsupervised classification. Finally, the land cover maps could be extracted from updated training data that has been applied by an iterative method. Also, in order to reduce salt and pepper occurring in the pixel classification method, the MRF was applied in each repeated phase to enhance the accuracy of classification. It was verified quantitatively and visually that the proposed method could effectively generate the land cover maps.

• Korean Journal of Remote Sensing
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• v.25 no.2
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• pp.113-126
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• 2009

With high temporal resolution, four times receiving during a day, MODIS images from Terra and Aqua satellites provide several advantages for monitoring spacious land. Especially, diverse MODIS products related to land, atmosphere, and ocean have been provided with radiance MODIS images. The products such as surface reflectance, NDVI, cloud mask, aerosol etc. are based on theoretical algorithms developed in academic areas. Comparing with other change detection studies mainly using the vegetation index, this study investigated temporal surface reflectance of landcovers for five years from 2004 to 2008. The near infrared (NIR) reflectance in urbanized and burned areas showed considerable difference before and after events. The specific characteristics of surface reflectance temporal profiles are possibly useful for the detection of landcover changes and classification.

• Spatial Information Research
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• v.8 no.2
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• pp.275-288
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• 2000

The purpose of this study is to analyze relationship between the NDVI change pattern and landcover change pattern in the City of Sungnam during 1985 and 1996. The results of this study are as follows; (1) NDVI of the level 6 and 7 is decreased and the level 5 is increased in the area where Forst area changed to the other land cover during 1985 and 1996. (2) In the area where Agricultural-Pasture changed to forest, NDVI level became higher certainly during that time. But in the area where there has been changed from Agricultural-Pasture to Urban or built-up, Agricultural-Pasture to Barren land, the level of NDVI is decreased. (3) In the Urban or built-up to other land, or built-up the level of NDVI is increased. (4) In the area where Barren land changed to other land cover, the level of NDVI is increased.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.383-383
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• 2011

증발산은 유출량과 같은 다른 수문순환 요소들에 비해 가장 만족스럽지 못하게 설명되는 부분이다. 왜냐하면 증발산은 직접 측정 할 수 있는 것이 아니라 물 수지 등과 같은 간접적인 방법을 통해 추정되기 때문이다. 대부분의 증발산량 산정 모형들은 너무나 많은 종류의 기상자료를 입력자료로 요구하기 때문에 현실적으로 수문학적 모형에 적용되기는 어려운 실정이다. 이에 대해 본 연구에서는 준분포 수문모형인 SLURP 모형을 이용하여 토지피복변화에 따른 증발산량의 변화를 분석하였다. SLURP 모형은 유역 내에서의 증발산량을 산정하기 위해 기상요소뿐만 아니라 토양습윤량의 변화를 고려할 수 있으며 토지피복변화를 반영할 수 있다. 대상유역으로는 우리나라의 5대강 유역을 대상으로 하였으며, SLURP 모형에 탑재되어 있는 Morton CRAE (Complementary Relationship Areal Evapotranpiration) 모형을 이용하여 토지피복별 증발산량을 산정하였다. 5대강유역을 대상으로 토지피복변화분석 및 그에 따른 증발산량 변화를 모의하여 증발 및 증산량의 변화를 확인하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.59-65
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• 2005

It is very important to detect land cover/land use change from the past and to use it for future urban plan. This paper investigated the application of Landsat satellite imagery for detecting urban growth and assessing its impact on surface temperature in the region. Land cover/land use change detection was carried out by using 30m resolution Landsat satellite images and hierarchial approach was introduced to detect more detail change on the changing area through high resolution aerial photos. Also, surface temperature according to land cover/land use was calculated from Landsat TM thermal infrared data and compared with real temperature to analyze the relationship between urban expansion and surface temperature. As a result, the urban expansion has raised surface radiant temperature in the urbanized area. The method using remote sensing data based on GIS was found to be effective in monitoring and analysing urban growth and in evaluating urbanization impact on surface temperature.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.69-70
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• 2014

연안지역에 대한 항공 하이퍼스펙트럴 영상으로부터 객체기반 분류방법을 이용하여 토지피복분류를 수행하고 기존에 주로 사용되어온 화소기반 분류기법에 의한 결과와 비교하였으며, 생성된 토지피복도로부터 해륙경계선인 수애선벡터를 용이하게 추출하는 방법을 제시하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.1
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• pp.12-25
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• 2021

Land cover maps are used in various fields in urban expansion and development. This study analyzed the amount of land cover change over time using multi-sensor information, focusing on the waterfront area of the Taehwa River. In order to apply high-accuracy aerial hyperspectral images, patterns with Field-spectral were reviewed and compared with time series Digital map. The hyperspectral image was set as 13 land cover grades, and the time series digital map was classified into 7 and the waterfront area was classified into 5-6 grades and analyzed. As a result of analysis of the change in land cover of the digital map from the 1990s to 2010, it was found that forest areas were rapidly decreasing and Farmland and grassland were becoming urban. As for the land cover change(2010~2019) in the waterfront area(set 500m) analyzed through hyperspectral images, it was found that Farmland(1.4㎢), Forest(1.0㎢), and grassland (0.8㎢) were converted into urbanized and dried areas, and urbanization was accelerating around the Taehwa River waterfront. Recently, a lot of research has been conducted on the production of land cover maps using high-precision satellite images and aerial hyperspectral images, so it is expected that more detailed and precise land cover maps can be produced and utilized.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.628-632
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• 2005

본 연구에서는 장기유출모형인 SWAT 모형의 대유역에 대한 적용성을 평가하고자 하였다. 이를 위해 국내 대표적 대유역인 소양강댐 유역을 선정하여 연구를 수행하였다. SWAT 모형의 기본입력자료인 수문기상 자료와 GIS 자료(DEM, 토지이용도/토지피복도, 토양도)의 국내 구축현황을 고려해 볼 때, 대유역에서의 적용성이 검증된다면 나아가 4대강 유역에 대한 SWAT 모형의 적용 또한 가능해지리라 판단되며, 국가 수자원 계획의 중요한 기초자료를 제공할 수 있을 것이다. 또한, SWAT 모형은 분포형 모형의 장점 중의 하나인 사용자가 원하는 지점에서의 수문성분을 모의할 수 있다. 이는 미계측 유역에 대한 수문성분을 평가할 수 있다는 것으로, 유역내 수위관측지점을 기준으로 관측유량과 모의유량을 비교$\cdot$검토하여 그 적절성을 평가하였다.