• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.382-385
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• 2008

MODIS images have a great advantage of high temporal resolution to monitor land cover changes in a large area. The moderate and low spatial resolution satellite images are incomparably economic than high resolution satellite images. As diverse satellite images are provided recently, strategies using satellite images are necessary for continuous, effective and long-term land monitoring. This research purposed to use MODIS images to monitor land cover in Korean peninsula for long-term and continuous change detection. To maximize the advantages of high temporal resolution, the change detection was based on the MODIS temporal profiles of the surface reflectance for one year. In this study as the reflectance patterns of year 2005 were compared with the reflectance patterns of year 2007, the changed pixels could be detected during two years. To set up the threshold value for the decision of change, ASTER images with the higher spatial resolution, 15m, were used for this study. The test area covered the suburban area of metropolitan city, Seoul, where the landcover changes have been frequently happened.

• Journal of Forest and Environmental Science
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• 제27권2호
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• pp.73-79
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• 2011

The Barind tract is threatened by desertification and undergoing rapid change. In view of this fact it is very much essential to manage this barind tract under proper land-use plan. The present study evaluates the effectiveness of high-resolution satellite data and computer aided GIS techniques in assessing land-use change detection for the period 1990 to 2007 within the study area, which is very much essential to manage this barind tract under proper land-use plan, and for proper land-use plan it is necessary to get reliable information. The present study found five major land-use such as current fallow, current agriculture, settlement, irrigation water and water bodies. From the result, it is found that current fallow and water bodies decrease while settlement and current agriculture increase. Study concludes that as Barind tract is threatened by desertification, decrease of water bodies is not a good sign for the study area.

• 한국콘텐츠학회논문지
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• 제11권2호
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• pp.457-465
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• 2011

본 연구는 도시철도에 의한 도시의 사회 및 공간적 영향을 개통 이후 지속적인 모니터링이 필요하다라는 측면에서 시작되었으며, 이에 본 연구는 대전시의 공간구조에 커다란 영향을 미칠 것으로 예측되고 있는 도시철도 1호선 개통에 따라 도시적 사회적 변화를 실증적으로 분석하고자 하였다. 이를 위해 학문적 고찰과 선행연구 고찰을 통해 도시철도가 도시에 미치는 영향을 예측하였고, 모니터링 지표를 설정하였다. 대전광역시 도시철도 1호선 역세권 지역에 대한 모니터링 결과, 인구와 토지이용, 총 개발연면적, 지가의 변화를 통해 도시철도의 개통이 대전시의 도시계획의 흐름과 도시공간구조의 변화에 영향을 미치는 것으로 판단되었다. 즉, 도시철도가 개통됨에 따라 도시철도 역세권 중심으로 인구 및 인구활동 등이 집중 되며, 인구 및 인구활동의 집중은 상업지역을 확대를 가져왔으며, 이러한 변화는 평균지가의 상승을 가져오는 결과를 초래하였다. 이처럼 도시모니터링은 도시의 전반적인 시기별 변화를 파악하는데 유용한 정보를 제공할 수 있으며, 현재 도시를 파악하는데 중요한 역할을 할 수 있음을 알 수 있었다.

• 한국관개배수논문집
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• 제7권2호
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• pp.57-65
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• 2000

The effect of land use of an alluvial watershed in the upper North Han river basin on groundwater quality were investigated. Existing 20 farm wells were selected as monitoring wells representing different land uses of residential, arable(paddy and field),

• 한국물환경학회지
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• 제24권5호
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• pp.543-549
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• 2008

Human activities and land-use practices are intensely widening the urban areas. High impervious surface areas cover much of urban landscapes and are the primary pollutant sources which can lead to water quality and habitat degradation in its watershed. As the urban areas expand, transportation land-use such as parking lots, roads, service areas, toll-gates in highways and bridges also increase. These land-uses are significant in urban pollution due to high imperviousness rate and vehicular activities. To regulate the environmental impacts and to improve the water quality of rivers and lakes, the Ministry of Environment (MOE) in Korea developed the Total Pollution Load Management System (TPLMS) program. The main objective is to lead the watershed for a low impact development. On a local scale, some urban land surfaces can be emitting more pollution than others. Consequently, in urban areas, the unit loads are commonly employed to estimate total pollutant loadings emitted from various land-uses including residential, commercial, industrial, transportation, open lands such as parks and golf courses, and other developed land like parking areas as a result of development. In this research, unit pollutant loads derived specifically from transportation land-uses (i.e. branched out from urban areas) will be provided. Monitoring was conducted over 56 storm events at nine monitoring locations during three years. Results for the unit pollutant loads of transportation land-use are determined to be $399.5kg/km^2-day$ for TSS, $12.3kg/km^2-day$ for TN and $2.46kg/km^2-day$ for TP. The values are higher than those of urban areas in Korean MOE and US highways. These results can be used by MOE to separate the pollutant unit load of transportation landuses from urban areas.

• 대한원격탐사학회지
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• 제38권1호
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• pp.111-126
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• 2022

Land use and land cover (LULC) mapping is an important factor in geospatial analysis. Although highly precise ground-based LULC monitoring is possible, it is time consuming and costly. Conversely, because the synthetic aperture radar (SAR) sensor is an all-weather sensor with high resolution, it could replace field-based LULC monitoring systems with low cost and less time requirement. Thus, LULC is one of the major areas in SAR applications. We developed a LULC model using only KOMPSAT-5 single co-polarized data and digital elevation model (DEM) data. Twelve HH-polarized images and 18 VV-polarized images were collected, and two HH-polarized images and four VV-polarized images were selected for the model testing. To train the LULC model, we applied the conditional generative adversarial network (cGAN) method. We used U-Net combined with the residual unit (ResUNet) model to generate the cGAN method. When analyzing the training history at 1732 epochs, the ResUNet model showed a maximum overall accuracy (OA) of 93.89 and a Kappa coefficient of 0.91. The model exhibited high performance in the test datasets with an OA greater than 90. The model accurately distinguished water body areas and showed lower accuracy in wetlands than in the other LULC types. The effect of the DEM on the accuracy of LULC was analyzed. When assessing the accuracy with respect to the incidence angle, owing to the radar shadow caused by the side-looking system of the SAR sensor, the OA tended to decrease as the incidence angle increased. This study is the first to use only KOMPSAT-5 single co-polarized data and deep learning methods to demonstrate the possibility of high-performance LULC monitoring. This study contributes to Earth surface monitoring and the development of deep learning approaches using the KOMPSAT-5 data.

• 한국물환경학회지
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• 제29권3호
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• pp.309-316
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• 2013

The Non-Point Sources shows different characteristics over a wide area depending on basin situation and rainfall events etc. In addition, Among various land uses in the urban areas, runoff appears high in the paved area, though small in its size, during a heavy rain than in other land use owing to its high impervious rate, and pollutants become severly accumulated owing to continual transportation of vehicles, characteristically showing high concentrations of runoff in the early stage. As a result, several advanced countries including USA give a special emphasis on the paved area as a target for supervision. In view of these aspects, the research is not only required to consider separated sub-basins which are distributed according to land uses, but also needed to develop a suitable monitoring which is reflected rainfall-runoff relation. The on-site monitoring has been performed to collect data in object watershed as well.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.37-37
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• 2003

Rice is one of the most important crop in the world and is a major export of Thailand. Optical sensors are not useful for rice monitoring, because most cultivated areas are often obscured by cloud during the growing period, especially in South East Asia. Spaceborne Synthetic Aperture Radar (SAR) such as RADARSAT, can see through regardless of weather condition which make it possible to monitor rice growth and to retrieve rice acreage, using the unique temporal signature of rice fields. This paper presents the result of a study of examining the backscatter behavior of rice using multi-temporal RADARSAT dataset. Ground measurements of paddy parameters and water and soil condition were collected. The ground truth information was also used to identify mature rice crops, orchard, road, residence, and aquaculture ponds. Land use class distributions from the RADARSAT image were analyzed. Comparison of the mean DB of each land use class indicated significant differences. Schematic representation of temporal backscatter of rice crop were plotted. Based on the study carried out in Pathum Thani Province test site, the results showed variation of sigma naught from first tillering vegatative phase until ripenning phase. It is suggested that at least, three radar data acquisitions taken at 3 stages of rice growth circle namely; those are at the beginning of rice growth when the field is still covered with water, in the ear differentiation period, and at the beginning of the harvest season, are required for rice monitoring. This pilot project was an experimental one aiming at future operational rice monitoring and potential yield predicttion.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.515-517
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• 2004

Although sustainable development of a city should in theory be based on updated spatial information like land cover/use changes, in practice there are no effective tools to get such information. However the development of satellite and sensor technologies has increased the supply of high resolution satellite data, allowing cost-effective, multi-temporal monitoring. Especially KOMPSAT-1(KOrea Multi-Purpose SATellite) acquired a large number of images of the whole Korean peninsula and covering some large cities a number of times. In this study land-use patterns and trends of Daejeon from the year 2000 to the year 2003 will be considered using land use maps which are generated by manual interpretation of multi-temporal KOMPSAT EOC imagery and to show the possibility of using high resolution satellite remote sensing data for urban analysis.

• 한국지리정보학회지
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• 제7권3호
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• pp.13-21
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• 2004

항공사진에 육박하는 고해상도 위성영상의 공급이 최근 위성 및 센서 기술의 비약적인 발전과 더불어 활발하게 이루어지고 있으며, 이와 같은 고해상도 위성 자료는 도시 토지이용현황 변화를 지속적으로 모니터링 할 수 있는 거의 유일한 수단이라 할 수 있다. 특히 1999년 12월 발사되어 2004년 8월 현재까지 성공적인 임무를 수행중인 KOMPSAT-1(KOrea Multi-Purpose SATellite) EOC(Electro-Optical Camera) 영상은 광역 도시에 대한 공간해상도 6.6m의 고해상도 영상 자료를 주기적으로 촬영, 공급하고 있어, 지금까지 거의 시도되지 못하였던 도시 토지이용현황 변화를 연도별로 추적, 분석할 수 있는 기반을 제공하고 있다. 따라서 본 연구에서는 2000년 국토지리정보원에서 발행한 대전광역시 토지이용 현황도와 2001년 KOMPSAT-1 EOC 자료를 중첩하여 육안판독에 의해 변화된 지역을 파악, 수정하는 방법을 사용하여 2001년 대전광역시 토지이용 현황도률 작성하고, 개개 항목별 토지이용 현황의 공간적 분포를 분석함으로써 축적된 위성자료를 활용한 토지이용 변화의 시계열 분석을 위한 선행 연구를 하고자 한다.