• Title/Summary/Keyword: 토지이용 및 피복 변화

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A Spatial Change Analysis of Water Quality Pollutant using GIS and Satellite Image (GIS와 위성영상을 이용한 수질 오염인자의 공간 변화 분석)

  • Jo, Myung-Hee;Kwon, Bong-Kyum;Bu, Ki-Dong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.3
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    • pp.60-70
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    • 1999
  • The purpose of this study is to analyze the spatial change of water quality pollutant in the upper-stream of Kumho River basin. For this purpose, it compared with ground survey data of water quality measurement, using GIS and Landsat TM image, and then constructed a database of water quality pollutants in the watershed by Arc/Info. Also the land cover classification maps of 1985 and 1997 were prepared using maximum likelihood classification. This study detected and analysed the classified images to produce the area of land cover change per sub-basin. In addition, choropleth maps were prepared with spatial change value of water quality pollutants, and overlay analysis was carried out with weight score for each layer. The results of this study revealed that population, animals and fruit orchards were main factors in the spatial change of water pollution of Kumho River basin. The Comparision of pollutions by sub-basins showed a high pollution value in Daechang-chun and Omok -chun stream which follows through the urban area.

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Land Cover Classification and Effective Rainfall Mapping using Landsat TM Data (Landsat TM 자료를 이용한 토지피복분류와 유효우량도의 작성)

  • Shin, Sha-Chul;Kwon, Gi-Ryang;Kim, Seong-Joon
    • Journal of Korea Water Resources Association
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    • v.35 no.4 s.129
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    • pp.411-423
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    • 2002
  • Accurate and real time forecasting of runoff has a high priority in the drainage basins prone to short, high intensity rainfall events causing flash floods. To take into account the resolution of hydrological variables within a drainage basin, use of distributed system models is preferred. The Landsat Thematic Mapper(TM) observations enable detailed information on distribution of land cover and other related factors within a drainage basin and permit the use of distributed system models. This paper describes monitoring technique of rainfall excess by SCS curve number method. The time series maps of rainfall excess were generated for all the storm events to show the spatiotemporal distribution of rainfall excess within study basin. A combination of the time series maps of rainfall excess with a flow routing technique would simulate the flow hydrograph at the drainage basin outlet.

대전광역시 도시화 패턴 분석을 위한 원격탐사 자료 처리 및 다중시기 토지이용 현황도 제작

  • Kim, Youn-Soo;Lee, Kwang-Jae;Jeon, Gap-Ho
    • Aerospace Engineering and Technology
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    • v.3 no.2
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    • pp.141-148
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    • 2004
  • The importance of satellite data for numerous applications is stressed by the fact that many countries have given the development of space technologies very high priority. Among these, Korea has established a medium-term space development strategy to promote space development both on a scientific as well as commercial level. As part of this strategy, the first operational earth-observation, multi-purpose satellite(KOMPSAT-1) was launched successfully in December, 1999. The Electro-Optical Camera (EOC) on board of KOMPSAT-1 supplies panchromatic images with a spatial resolution of 6.6m Until April, 2004, it collected over 150.000 images of the Korean Peninsula and the rest of the world. This paper examines the use of remote sensing data to analyze urban growth in the city of Daejeon from 1960 to 2003. By using visual interpretation, land use maps are created.

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The cooling effects of a paddy field area during 2006 summer (2006년 여름철 논에 의한 기온저감효과)

  • Kwon, Sung-Il;Kim, Jin-Soo;Park, Jong-Hwa;Oh, Kwang-Young;Song, Chul-Min
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.628-632
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    • 2007
  • 본 연구에서는 2006년 여름철(2006년 7월 15일${\sim}$9월 30일) 동안 서로 다른 토지피복형태(논, 밭, 도시녹지대 및 도시주택지)에서의 기온변화 특성을 비교하여 논에 의한 기온저감 효과를 파악하였다. 혹서기 동안 총 3회(2006년 8월 3일, 11일, 15일)에 걸쳐 논으로부터의 거리에 따라 기온을 실측한 결과, 논으로부터 거리가 멀어짐에 따라 기온이 상승하였으며, 170m 지점에서의 기온은 논 지점보다 14시에는 $2.3^{\circ}C$, 22시에는 $1.8^{\circ}C$, 익일 06시에는 $1.3^{\circ}C$ 높게 나타났다. 혹서기 동안 논, 밭, 녹지대, 주택지에서의 열대야 완화효과를 비교해보면, 논이 열대야를 완화시키는 효과가 가장 큰 것으로 나타났다. $25^{\circ}C$이하로 낮아지는 평균시각은 논이 22.36시, 밭이 24.0시, 녹지대가 2.2시, 주택지가 2.3시로 나타났고, 이 시각으로부터의 평균 지속시간은 논이 7.7시간, 밭이 7.3시간, 녹지대가 4.3시간, 주택지가 1.0시간으로 나타났다. 또한 평균 일최저기온은 논이 $23.1^{\circ}C$로서 밭과는 동일하게 나타났으며, 녹지대보다 $0.9^{\circ}C$, 주택지보다 $3.0^{\circ}C$ 낮게 나타났다. 그러나 논과 밭에서의 기온저감효과는 큰 차이를 보이지 않았는데, 이는 기온저감효과가 식생피복상태에 의해 크게 좌우되기때문으로 생각된다. 본 연구에서는 논과 밭에 의한 기온저감효과의 메커니즘은 파악되지 않았으나, 이는 다양한 논지대 및 밭지대를 대상으로 열수지 특성을 분석함으로써 구명할 수 있을 것으로 생각된다.자로서는 제방 마루의 토지이용 및 식생구조, 하도의 식생유형, 하도주변 토지이용, 하안(bank) 형상 및 구조, 수종 및 구조, 하도 및 하안 특징 및 구조 등으로 선정, 검토하였다. 이상의 하천교란과 관계되는 지표를 선정하여 물리적, 생태적 조사 및 교란평가기법(안)을 개발, 제시하였다.EX>)를 보였으며, 그 중 3명에서는 혈역학적으로 큰 의미가 없는 잔여단락이 있었다. 결론: 급성 심근경색증 후 심실중격 결손은 수술위험도가 높은 질환이지만, 수술 전 대동맥내 풍선펌프를 삽입하고 조기에 심실중격 결손부의 infarct exclusion 술식과 함께 관상동맥우회술을 시행함으로써 만족할 만한 수술 및 중기 결과를 얻을 수 있었다.출물 투여로 저하되었으나 NC군보다는 높게 나타났다. 간 중 중성지질 함량은 참나물 에탄올 추출물 투여 용량에 따른 유의차가 없었으나, 총콜레스테롤 함량은 고용량 병합투여한 HC-PBH군만 유의하게 저하되었다. 혈청 및 간 중의 지질 함량 변화는 정상식이를 급여한 NC군과 NC-PB군 간에는 유의차가 없었다. 따라서 고콜레스테롤식이를 급여하면서 참나물 에탄올 추출물을 병합투여 시에만 지질대사 개선 효과가 있는 것으로 여겨지며, 고용량 병합투여 시 효능이 더 큰 것으로 나타났다. 고콜레스테롤식이로 인한 산화적 스트레스가 고콜레스테롤혈증을 유발하였으며, 이는 참나물 에탄올 추출물에 함유된 항산화물질을 포함한 여러 생리활성물질이 영향을 미친 것으로 사료된다. 이상의 실험 결과에서 참나물 에탄올 추출물은 고콜레스테롤식이로 증가된 총콜레스테롤, LDL-콜레스테롤 및 중성지질 함량은 감소시켰고, HDL-콜레스테롤과 인지질 함량은 증가시킴으로써 지방간 및 동맥경화의 예방과 치료에 효과적일 것으로 판단되어 진다./hr/g$, 섭취 7일중 $8.123\;{\mu}g/hr/

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West seacoast wetland monitoring using KOMPSAT series imageries in high spatial resolution (고해상도 KOMPSAT 시리즈 이미지를 활용한 서해연안 습지 변화 모니터링)

  • Sunwoo, Wooyeon;Kim, Daeun;Kim, Seongkyun;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.50 no.6
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    • pp.429-440
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    • 2017
  • A series of multispectral high-resolution Korean Multi-Purpose Satellite (KOMPSAT) images were analyzed to detect the geographical changes in four different tidal flats in the west coast of South Korea. The method of unsupervised classification was used to generate a series of land use/land cover (LULC) maps from the satellite images, which were used as the input of the temporal trajectory analysis to detect the temporal change of coastal wetlands and its association with natural and anthropogenic activities. The accurately classified LULC maps extracted from the KOMPSAT images indicate that these multispectral high-resolution satellite data is highly applicable to generate good quality thematic maps for extracting wetlands. The result of the trajectory analysis showed that, while the tidal flat area of Gyeonggi and Jeollabuk provinces was estimated to have changed due to tidal effects, the reductive trajectory of the wetland areas belonging to the Saemangeum province was caused by a high degree of human-induced activities including large reclamation and urbanization. The conservation of the Jeungdo Wetland Protected Area in Jeollanam province revealed that the social and environmental policies can effectively protect coastal wetlands from degradation. Therefore, monitoring for wetland change using high resolution KOMPSAT is expected to be useful to coastal environment management and policy making.

Estimation of Curve Number Using Asymptotic Regression Method in Small Watersheds of Han Rive (점근 회귀방정식을 이용한 한강 권역 소유역의 유출곡선지수 산정)

  • Yu, Ji Soo;Park, Dong-Hyeok;Ahn, Jae-Hyun;Kim, Tea-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.215-215
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    • 2017
  • NRCS-CN 방법은 총 강우량으로부터 유출량을 계산하는 방법으로, 국내에서는 설계홍수량 산정 시 NRCS-CN 방법의 사용을 권장하고 있다. CN값은 토지이용 및 피복, 토양특성, 수문학적 조건(AMC)에 따른 함수로 결정할 수 있으나, 보통의 경우 미국의 National Engineering Handbook (NEH-4)에서 제시한 표를 활용한다. 그러나, 우리나라의 토지피복 및 토지이용 현황은 미국과 다르기 때문에 현실 조건을 반영한 조정이 필요함에도 불구하고, 충분한 관측 자료가 확보되지 않아 이러한 조정이 어려운 실정이다. NRCS-CN 방법에서는 결과 값이 총 강수량보다 CN에 크게 의존적이기 때문에 부정확한 CN 값의 산정은 큰 오차를 야기할 수 있다. 또한 소유역에서는 초기손실량이 설계홍수량 산정에 큰 영향을 미치지만 우리나라는 초기손실률을 20%의 고정된 값을 일괄적으로 적용하고 있으며, 이는 제주도와 같은 특수한 투수성 지층에서는 적합하지 않다는 지적을 받아왔다. 여러 선행연구에서 강수량과 CN 사이에는 특정 관계식이 존재하며, 고정된 CN 값이 아닌 강수량에 따라 변화하는 값을 적용하는 것이 기존의 NRCS-CN 방법보다 더 정확한 결과를 나타낸다는 것이 확인된 바 있다. 본 연구에서는 NRCS-CN 방법의 CN 값과 초기손실률을 유역에 적합하게 개선하기 위해서 기존의 NRCS-CN 모형에 점근 유출곡선지수방법(Asymptotic CN Regression Method)을 통해 산정된 CN값과 각기 다른 초기손실률(0.01, 0.05, 0.10, 0.20, 0.40)을 적용하여 개선된 총 8개의 모형을 한강 권역 소유역에 적용하였다. RMSE, MAE 및 R-square 등의 지표를 이용하여 모형 검정을 수행하였으며, 최적의 모형 및 미개변수를 선정하였다. 그 결과 기존의 NRCS-CN 방법보다 점근 유출곡선지수방법을 적용했을 때 더 작은 오차를 나타내는 것을 확인하였으며, 대부분의 유역에서 0.01 또는 0.05 등 기존보다 더 작은 초기손실률을 채택 시 실측값과 가장 적은 오차를 나타냈다.

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Land Cover Classification Techniques for Large Area using Digital Satellite Data (수치위성자료를 이용한 광역의 토지피복분류 기법)

  • 박병욱
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.14 no.1
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    • pp.39-47
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    • 1996
  • This paper is to provide land cover classification techniques for large area ranged in different pathos by classifying Landsat TM data of Jeonnam province. The analyses proceeded by individual scene because acquired dates are not same in different pathes. In this processing, troubles had happened something like variation of classes can be classified in two scenes and choice problem about overlapped area. Since spatial effects in large area affect data values, it was difficult to make a selection of classes and training fields. we could present a solution about these problems by trial and error method, and found that Bayesian maximum likelihood classification and majority filtering were effective to improve classification accuracy.

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Analysis of Spatial Information Characteristics for Establishing Land Use, Land-Use Change and Forestry Matrix (Land Use, Land-Use Change and Forestry 매트릭스 작성을 위한 공간정보 특성 고찰)

  • HWANG, Jin-Hoo;JANG, Rae-Ik;JEON, Seong-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.2
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    • pp.44-55
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    • 2018
  • The importance of establishing a greenhouse gas inventory is emerging for policymaking and its implementation to cope with climate change. Thus, it is needed to establish Approach 3 level Land Use, Land-Use Change and Forestry (LULUCF) matrix that is spatially explicit regarding land use classifications and changes. In this study, four types of spatial information suitable for establishing the LULUCF matrix were analyzed - Cadastral Map, Land Cover Map, Forest Map, and Biotope Map. This research analyzed the classification properties of each type of spatial information and compared the quantitative and qualitative characteristics of the maps in Boryeong city. Drawn from the conclusions of the quantitative comparison, the forest area showed the maximum difference of 50.42% ($303.79km^2$) in the forest map and 46.09%($276.65km^2$) in the cadastral map. The qualitative comparison drew five qualitative characteristics: data construction scope difference, data construction purpose difference, classification standard difference, and classification item difference. As a result of the study, it was evident that the biotope map was the most appropriate spatial information for the establishment of the LULUCF matrix. In addition, if the LULUCF matrix is made by integrating the biotope, the forest map, and the land cover map, the limitations of each spatial information would be improved. The accuracy of the LULUCF matrix is expected to be improved when the map of the level-3 land cover map and the biotope map of 1:5,000 covering the whole country are completed.

Land Cover Classification Using Sematic Image Segmentation with Deep Learning (딥러닝 기반의 영상분할을 이용한 토지피복분류)

  • Lee, Seonghyeok;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.35 no.2
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    • pp.279-288
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    • 2019
  • We evaluated the land cover classification performance of SegNet, which features semantic segmentation of aerial imagery. We selected four semantic classes, i.e., urban, farmland, forest, and water areas, and created 2,000 datasets using aerial images and land cover maps. The datasets were divided at a 8:2 ratio into training (1,600) and validation datasets (400); we evaluated validation accuracy after tuning the hyperparameters. SegNet performance was optimal at a batch size of five with 100,000 iterations. When 200 test datasets were subjected to semantic segmentation using the trained SegNet model, the accuracies were farmland 87.89%, forest 87.18%, water 83.66%, and urban regions 82.67%; the overall accuracy was 85.48%. Thus, deep learning-based semantic segmentation can be used to classify land cover.

An Analysis of Environmental Factors of Abandoned Paddy Wetlands as References and Changes in Land Cover Types in the Influence Area (묵논습지 환경요인 및 생태영향권 내 토지피복유형 변화 분석)

  • Park, MiOk;Kwon, SoonHyo;Back, SeungJun;Seo, JooYoung;Koo, BonHak
    • Journal of Wetlands Research
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    • v.24 no.4
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    • pp.331-344
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    • 2022
  • This study analyzed the characteristics of the soil and hydrological environment of abandoned paddy wetlands examined the changes in land cover type in the ecological affect area, analyzed the environmental factors of abandoned paddy wetlands, and examined the changes in land cover type in the ecological impact area. The ecological environment characteristics of the reference abandoned paddy wetlands were investigated through literature research, environmental spatial information service, and preliminary exploration of the abandoned paddy wetlands, and the basic data for the restoration of abandoned paddy wetlands ware provided by examining the changes in land cover type in the ecological impact area for 40 years. Through this study, it will be possible to manage the rapidly increasing number of abandoned farmland to be converted into wetlands so that it can perform functions equivalent to or greater than that of natural wetlands. In particular, as we checked the clues that abandoned paddy wetlands could spread to surrounding ecological influences through land cover changes, the study sites are highly likely to be reference wetlands, and if the topography, soil, water circulation system, and carbon reduction performance are analyzed carefully, it will be possible to standardize the development process. In addition, through the change in land cover, clues were confirmed that the abandoned paddy wetlands could spread to the surrounding ecological affect areas. The land cover type in the ecological impact area, forests was mainly distributed, but generally decreased rapidly in the last 10-20 years, and forests were changing from coniferous forests to broad-leaved forests, mixed forests, or grassland. It has not yet been fully called to the wetland, and it is found that it has maintained the form of barren or grassland, and as can be seen in the case of natural wetlands after more than 30 years after abandoned, it is expected that the transition will gradually proceed to wetlands that are structurally and functionally similar to natural wetlands.