• Journal of Wetlands Research
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• v.25 no.4
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• pp.315-325
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• 2023

This study analyzed the disturbance process of river wetlands based on modern and contemporary maps and aerial photographs, and analyzed land cover and NDVI changes in the hydro-ecological impact zone around the Wangjin District. A stable sandbar was formed near Wangjinnaru and was naturally connected to the agricultural land within inland, but after the sandbar and river wetland were destroyed due to heavy floods, embankment construction, land readjustment, and comprehensive river management, artificial replaced wetlands and ecological parks were created, and sandbars in the form of river island were restored again. The change in land cover in the hydro-ecological impact zone showed that rice paddies and fields in agricultural areas decreased from 36.3% in 2013 to 22.9% in 2022, with the largest change in area to 814,476m². It was confirmed that the land cover was undergoing vegetation over time. Since the vegetation condition is good, a healthy food chain is formed in the waterfront ecosystem, which can be expected to be biodiversity-positive. Summarizing seasonal changes in the vegetation index, the overall change in the vegetation index was the largest in spring (March), followed by summer (June), and the change in autumn (September) was the smallest except for water. By land use, the overall vegetation index (NDVI) increased, including 39.1% improvement in alternative wetlands, 38.2% improvement in load, 44.3% improvement in ecological parks, 35.6% improvement in agricultural areas, and -8.1% decrease in water.

• Spatial Information Research
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• v.17 no.1
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• pp.117-129
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• 2009

South Korea has been undergoing spring drought periodically and diverse researches using vegetation index have been carried out to monitor spring droughts. The strength of the vegetation index-based drought monitoring is that the monitoring method enables efficient spatio-temporal grasp of changes in drought events. According to the development of low resolution satellite images such as MODIS, which are characterized by outstanding temporal resolution, the use of the method is expected to increase. Drought analysis using vegetation index considered only meteorological factor as a cause that affects vitality of vegetation. But many indirect and direct factors affect vegetation stress, So many uncertainties are involved in such method of analysis. To secure objectivity of drought analysis that uses vegetation index it is therefore necessary to compare the method with most representative drought analysis tools that are used for drought management. In this study, PDSI and SPI which a meteorological drought index that quantifies drought and that is used as a basic index for drought monitoring and MODIS NDVI are compared to propose correlation among them and to show usefulness of drought assessment that uses vegetation index. This study shows changing patterns of NDVI and SPI 6-month are similar and correlation between NDVI and SPI was highest in inland vegetation cover.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.39-44
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• 2009

To analysis the LST distribution of Jeju island, remote sensing techniques using Landsat TM band 6 data were used. In this study, we made the LST distribution map based on the NASA. The study areas are the Jeju and Seogwipo cities of the Jeju Island. And we analyzed the correlation between the LST and NDVI which was calculated from the Landsat TM band 3 and ban 4. From the result, we found that the coefficients of the correlation were -0.77 and -0.74 on the Jeju and the Seogwipo cities, respectively. Finally, from the correlation between the land cover and LST, we also found that an inverse relationship between the LST and NDVI was exist.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2081-2084
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• 2008

본 연구에서는 가용 Landsat TM 위성자료를 이용하여 금호강유역의 수문변수를 산정하였다. 대상 유역인 금호강유역은 대구시를 포함한 하천유역으로 도시화로 인한 유역 환경변화가 매우 심한 지역이다. 대상유역의 수문변수의 변화가 유역 생태 및 수문순환구조에 미치는 영향이 크므로 위성자료를 활용한 광역에 대한 수문변수 산정과 시공간변화 특성의 자연적요인은 물론 인위적인 요인을 분석하는 것은 매우 중요하다. 가용한 Landsat자료는 30-120m의 뛰어난 공간분해능과 다양한 관측 밴드를 가지고 있어, 수문변수 산정 및 유역 환경변화를 파악하기에 적합한 자료이다. 본 연구에서는 1985, 1998, 1999년, 2001년 Landsat TM자료를 이용하여 대상지역에 대한 기하학적 보정 등 전처리과정을 거쳐 정규화 식생지수(NDVI; Normalized Difference Vegetation Index)와 이와 연계한 엽면적지수(LAI; Leaf Area Index)를 산정하였으며 토지피복변화를 분석하였다. Landsat자료를 이용한 광역의 토지피복변화와 수문변수변화 분석을 통하여, 위성관측기법 이용한 유역 수문변수 변화특성 도출 가능성을 제시하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.58-69
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• 2007

The vegetation area that occupies 76% in land surface of the earth can give a considerable impact on water resources, environment and ecological system by future climate change. The purpose of this study is to predict future vegetation cover information from NDVI (Normalized Difference Vegetation Index) extracted from satellite images. Current vegetation information was prepared from monthly NDVI (March to November) extracted from NOAA AVHRR (1994 - 2004) and Terra MODIS (2000 - 2004) satellite images. The NDVI values of MODIS for 5 years were 20% higher than those of NOAA. The interrelation between NDVIs and monthly averaged climate factors (daily mean, maximum and minimum temperature, rainfall, sunshine hour, wind velocity, and relative humidity) for 5 river basins of South Korea showed that the monthly NDVIs had high relationship with monthly averaged temperature. By linear regression, the future NDVIs were estimated using the future mean temperature of CCCma CGCM2 A2 and B2 climate change scenario. The future vegetation information by NOAA NDVI showed little difference in peak value of NDVI, but the peak time was shifted from July to August and maintained high NDVIs to October while the present NDVI decrease from September. The future MODIS NDVIs showed about 5% increase comparing with the present NDVIs from July to August.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1196-1200
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• 2006

지구 온난화에 따른 기후변화에 의해 동아시아 지역의 가뭄현상은 지속적으로 증가추세이며 우리나라도 최근 중부지방을 중심으로 봄 가뭄이 심화되고 있다. 특히 2001년 봄 가뭄은 기상관측 이래 최악의 가뭄으로 기록되었으며 이에 대한 피해원인 및 가뭄특성에 대한 다양한 연구가 수행되었다. 본 연구에서는 2001년 봄 가뭄을 원격탐사를 기반으로 한 위성영상 자료를 활용하여 분석하였으며, 다양한 파장대의 위성영상 반사특성을 이용하여 생성한 식생지수 및 지표면 복사온도를 가뭄분석을 위한 도구로 활용하였다. 또한, 가뭄의 지속기간이 짧고, 식생의 활력이 크지 않은 봄 가뭄의 특성을 고려하여 토지피복도, 임상도, DEM 등의 GIS자료를 추가적으로 활용하여 가뭄발생지역의 공간적 특성을 분석하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.140-140
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• 2016

수분 이용효율(Water Use Efficiency, WUE)은 식생이 흡수한 수분 중 증발산에 이용한 비율로, 육상생태계의 수문학적 순환 및 탄소 순환의 기능을 측정할 수 있는 중요한 지표이다. 또한 이는 특정 지역의 기후 조건이나 토지 피복과 같은 다양한 요인에 따라 변할 수 있다. 본 연구에서는 한반도에서 2010년부터 2014년까지의 기후 요인(강수, 기온)과 토지 피복에 따른 WUE의 변화를 살펴본다. MODerate resolution Imaging Spectroradiometer (MODIS) 기반 총일차생산성(Gross Primary Productivity, GPP), 증발산량(Evapotranspiration, ET), 잎면적지수(Leaf Area Index, LAI)와 Willmot의 기상자료 등 대상지역에 대한 격자 자료를 사용한다. 구체적으로 숲, 초원, 농지와 같이 다양한 토지 피복 조건에 대한 월간 및 연간 WUE(=GPP/ET)를 산정하고, 이의 LAI나 기후 조건(강수, 기온)과의 관계를 분석하고자 상관성 및 요인 분석을 진행한다. 기후 조건 및 토지 피복 조건을 고려한 15년간 한반도에서의 WUE의 변화에 대한 분석은 앞으로의 수자원 관리 및 산림 정책에 활용할 수 있을 것으로 판단된다.

• Spatial Information Research
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• v.18 no.5
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• pp.27-36
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• 2010

This study observed distribution of vegetation to confirm change of tundra-taiga boundary. Tundra-taiga boundary is used to observe the transfer of vegetation pattern because it is very sensitive to human activity, natural disturbances and climate change. The circumpolar tundra-taiga boundary could observe reaction about some change. Reaction and confirmation about climate change were definite than other place. This study used Leaf Area Index(LAI) 8-Day data in August from 2000 to 2009 that acquire from Terra satellite MODerate resolution Imaging Spectroradiometer(MODIS) sensor and used K$\"{o}$ppen Climate Map, Global Land Cover 2000 for reference data. This study conducted analysis of spatial distribution in low density vegetated areas and inter-annual / zonal analysis for using the long period data of LAI. Change of LAI was confirmed by analysis based on boundary value of LAI in study area. Development of vegetation could be confirmed by area of grown vegetation($730,325km^2$) than area of reduced vegetation ($22,372km^2$) in tundra climate. Also, area was increased with the latitude $64^{\circ}$ N~$66^{\circ}$ N as the center and around the latitude $62^{\circ}$ N through area analysis by latitude. Vegetation of tundra-taiga boundary was general increase from 2000 to 2009. While area of reduced vegetation was a little, area of vegetation growth and development was increased significantly.

• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.1975-1984
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• 2021

Urban expansion results in raising the temperature in the city, which can cause social, economic and physical damage. In order to prevent the urban heat island and reduce the urban land surface temperature, it is important to quantify the cooling effect of the features of the urban space. Therefore, in order to understand the relationship between each object of land cover and the land surface temperature in Seoul, the land cover map was classified into 6 classes. And the correlation and multiple regression analysis between land surface temperature and the area of objects, perimeter/area, and normalized difference vegetation index was analyzed. As a result of the analysis, the normalized difference vegetation index showed a high correlation with the land surface temperature. Also, in multiple regression analysis, the normalized difference vegetation index exerted a higher influence on the land surface temperature prediction than other coefficients. However, the explanatory power of the derived models as a result of multiple regression analysis was low. In the future, if continuous monitoring is performed using high-resolution MIR Image from KOMPSAT-3A, it will be possible to improve the explanatory power of the model. By utilizing the relationship between such various land cover types considering vegetation vitality of green areas with that of land surface temperature within urban spaces for urban planning, it is expected to contribute in reducing the land surface temperature in urban spaces.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.364-364
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• 2019

최근 전세계적으로 기후변화로 인한 국내외 가뭄에 대한 피해 및 발생 빈도가 점차 증가하고 있으며, 우리나라의 경우 2000년대 이후 가뭄 주기가 점점 짧아져 2013년 이후 매년 가뭄이 발생하고 있다. 북한은 자연재해에 취약한 국가이며 특히 가뭄으로 인한 식량난 문제가 대두되고 있지만, 북한의 제한적인 정보로 인해 북한 지역에서의 가뭄의 발생과 피해 정보는 한정적이고, 활용할 수 있는 자료의 경우 외국 기관의 정보에 의존하는 실정이다. 향후 농업부문에 대한 대북한 지원과 통일 후를 대비한 농업정책의 수립을 위하여 북한의 가뭄에 대하여 독자적으로 신속한 정보를 취득, 분석할 수 있는 능력을 확보하는 것이 필요하다. 위성영상을 이용한 원격탐사 기술은 접근이 용이하지 못한 지역의 주기적인 관측이 가능하며, 동일한 정확도로 기상자료의 획득이 가능하다. Vegetation Drought Response Index (VegDRI)는 위성영상기반의 가뭄지수인 정규식생지수(Nomalized Difference Vegetation Index, NDVI), 기상학적 가뭄지수를 활용한 기후적 요소, 토지피복 및 생태지역 등의 생물물리학적 요소를 활용한 가뭄지표이다. 본 연구에서는 MODerate resolution Imaging Spectroradiometer (MODIS) 위성의 MOD13Q1 영상자료의 NDVI (2001~2018년)를 이용하였으며, 북한의 기상자료를 이용한 표준강수지수 (Standardized Precipitation Index, SPI)와 파머가뭄심도지수 (Palmer Drought Severity Index, PDSI), 그리고 북한 지역의 토지피복 및 생태지역 등의 요소들을 활용한 VegDRI를 통하여 북한의 가뭄 시기에 따른 시도별 가뭄 특성에 대하여 분석하고자 한다.