• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.169-174
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• 2006

도시지역의 급변하는 토지이용의 패턴 및 토지피복상태 등의 도시환경의 변화를 분석하는 것은 도시계획 및 개발계획을 기획, 입안하는데 중요한 자료로 활용될 수 있을 것이다. 본 연구에서는 구미시를 대상지역으로 하는 Landsat TM과 Landsat $ETM^+$ 인공위성 영상데이터로부터 토지피복/토지이용 분류를 수행함으로써 18년간의 광역적 도시변화를 탐지하였다. 또한 도시의 발전과 지표면 온도의 상관성을 알아보기 위하여 열적외선 파장영역을 이용하여 온도를 추출하였다. 시가지 확장으로 인한 지표면 온도의 상승을 확인하고 이를 통해 토지이용/토지피복의 상관관계 분석 및 식생지수분포를 비교하였다.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.463-473
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• 2021

Recently, United States Geological Survey (USGS) distributed Landsat 8 Collection 2 Level 2 Science Product (L2SP). This paper aims to derive land surface temperature from L2SP and to validate it. Validation is made by comparing the land surface temperature with the one calculated from Landsat 8 Collection 1 Level 1 Terrain Precision (L1TP) and the one from Automated Synoptic Observing System (ASOS). L2SP is calculated from Landsat 8 Collection 2 Level 1 data and it provides land surface temperature to users without processing surface reflectance data. Landsat 8 data from 2018 to 2020 is collected and ground sensor data from eight sites of ASOS are used to evaluate L2SP land surface temperature data. To compare ground sensor data with remotely sensed data, 3×3 grid area data near ASOS station is used. As a result of analysis with ASOS data, L2SP and L1TP land surface temperature shows Pearson correlation coefficient of 0.971 and 0.964, respectively. RMSE (Root Mean Square Error) of two results with ASOS data is 4.029℃, 5.247℃ respectively. This result suggests that L2SP data is more adequate to acquire land surface temperature than L1TP. If seasonal difference and geometric features such as slope are considered, the result would improve.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.4
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• pp.15-23
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• 2004

In order to utilize remote sensed images effectively, it is necessary to correct geometric distortion. Geometric correction is a critical step to remove geometric distortions in satellite images. For geometric correction, Ground Control Points (GCPs) have to be chosen carefully to guarantee the quality of geocoded satellite images, digital maps, GPS surveying or other data. Traditional approach to geometric correction used GCPs requires substantial human operations. Also that is necessary much time and manpower. In this paper, we presented an on-line automatic geometric correction by constructing GCP Chip database. The Proposed on-line automatic geometric correction system is consists of four part. Input image, control the GCP Chip, revision of selected GCP, and output setting part. In conclusion, developed system reduced the processing time and energy for tedious manual geometric correction and promoted usage of Landsat imagery.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2023-2027
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• 2008

교통과 산업의 발달로 농촌인구의 감소가 빠르게 진행되고, 도시로 유입된 인구의 거주 공간 확보를 위해 도시주변의 피복 변화가 빠르게 진행되고 있다. 도시 지표의 대부분이 아스팔트나 콘크리트 등으로 피복되어 있어 도심의 기온이 교외와 비교하여 높게 형성되는 도시열섬현상(urban heat island, UHI)이 두드러지고 있다. 따라서 도시열섬현상 해소 대책으로 다양한 방법들이 분야 별로 제안되고 있다. 본 연구에서는 청주시 소재(미호천과 무심천을 대상으로) 하천으로 부터 떨어진 거리에 따른 열환경에 대하여 토지 피복에 따른 공간적 특성 분석을 수행함으로서 하천이 도심지 열 환경에 미치는 영향에 대하여 조사하였다. 하천을 중심으로 $0{\sim}1000m$ 까지 200m 간격의 버퍼를 생성하고 Landsat 영상에 의한 NDVI와 온도분포도를 이용하여 청주시 하천의 근접성에 따른 NDVI 및 온도 분포 분석 결과, NDVI는 하천을 기준으로 거리가 멀어질수록 점차적으로 증가하는 경향을 보였고 온도는 감소하는 것으로 나타났다. 또한 Quick-bird 영상에 의한 토지피복도와 NDVI, 온도 데이터를 중첩분석한 결과 NDVI는 산림-경작지-초지-나지-시가지 및 건조지 순으로 나타났고 평균온도는 NDVI의 역순으로 나타났다. 특히, 시가지를 비롯하여 공업지, 상업지 등 건조지역과 나지는 평균 $24^{\circ}C$ 이상으로 인구밀집지역은 높은 온도분포를 나타내는 것을 알 수 있었다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.191-198
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• 2003

서울은 인구 1000만이 넘는 세계적인 대도시로 발전하였다. 1970년대 이후로 급속적인 경제발전과 더불어 서울의 도시화는 급속히 이루어졌으며 이에 따른 인구집중 역시 빠른 속도로 진행되었다. 본 연구에서는 서울과 그 주변 도시를 대상으로 인구자료와 행정구역도 그리고 Landsat 위성영상을 사용하여 인구밀도의 변화에 따른 도시의 성장형태를 분석하여 도시의 관리와 발전계획을 위한 기초 자료로 활용하고자 한다. 도시성장 분석을 위한 기존의 연구방법은 행정구역에 따른 인구밀도를 통해 수행되었으나 이는 행정구역 내에 일률적인 인구데이터의 분배로 실제 경우와 다른 해석이 가능할 수 있는 오류를 포함하고 있다. 이에 본 연구에서는 실질적인 대부분의 인구가 도시지역에 거주한다는 가정 하에 1985년부터 2000년까지의 5년 간격의 Landsat 위성영상을 사용하여 도시지역을 추출하고 이를 기초로 행정구역 내에 포함되어 있는 도시지역에만 인구를 배분하는 새로운 방식으로 인구밀도의 변화 추이를 나타내었다. 연구결과 기존에 방법에서는 발견되지 않았던 서울의 확장형태를 알 수 있었으며 또한 인구데이터의 경계현상을 Pycnophylactic 보간 알고리즘을 통해 제거함으로써 보다 실질적인 도시지역 인구밀도의 변화를 알 수 있었다. 이러한 인구밀도의 변화는 도시의 성장과 밀접한 상관관계를 갖기 때문에 이를 통해 서울 및 주변도시의 성장 형태를 확인할 수 있었다. 마지막으로 4장의 서울-경기 도시지역의 인구밀도 변화도를 제작하여 GIS를 이용한 관련 분야의 활용에 도움이 되고자 한다.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1231-1244
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• 2020

Landsat satellites are representative optical satellites that have observed the Earth's surface for a long-term, and are suitable for long-term changes such as disaster preparedness/recovery monitoring, land use change, change detection, and time series monitoring. In this paper, clouds and cloud shadows were detected using QA bands to detect and remove clouds simply and efficiently. Then, the missing area of the experimantal image is restorated through the SSG algorithm, which does not directly refer to the pixel value of the reference image, but performs restoration to the pixel value in the Experimental image. Through this study, we presented the possibility of utilizing the modified SSG algorithm by quantitatively and qualitatively evaluating information on variousl and cover conditions in the thermal wavelength band as well as the visible wavelength band observing the surface.

• Korean Journal of Remote Sensing
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• v.30 no.2
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• pp.173-183
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• 2014

Field survey research on damages caused by volcanic activities has plenty of difficulties due to human resources, safety and costs issues. Remote sensing application using satellite image is one of very useful tools to overcome those issues. In this study, we monitored the volcanic activities of Sinabung volcano in 2010, which is located in Sumatra island, Indonesia by using Landsat 7 ETM+ satellite images acquired on 17 April, 2009 and 30 July, 2012. We found that the area of pyroclastic flow inundation after 2010 has been tripled roughly, since extracting the pyroclastic flow inundation before and after 2010 eruption from classification. The result from modeling of pyroclastic flow inundation has been compared with the extracted pyroclastic flow inundation from Landsat 7 ETM+ images. As a result, we confirmed that the length of inundation area from the modeling was calculated to 92% accurate, but the width of inundation area was somewhat imprecisely estimated in the volcanic area having the sharp slope and only calculated to 17% accurate.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.159-172
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• 2006

In this study, the series of Landsat TM/ETM+ images was acquired to extract land surface temperature for wide-area and executed geometric correction and radiometric correction. And the land surface temperature was extracted using NASA Model, and achieved the first correction by performing land coverage category for study area and applied characteristic emission rate. Land surface temperature which was acquired by the first correction was analyzed in correlation with Meteorological Administration's temperature data by regression analysis, and established correction formula. And I wished to improve accuracy of land surface temperature extraction using satellite image by second correcting deviations between two data using establishing correction formula. As a result, land surface temperature acquired by 1st and 2st correction could be corrected in mean deviation of about ${\pm}3.0^{\circ}C$ with Meteorological Administration data. Also, I could acquire land surface temperature about study area by higher accuracy by applying to other Landsat images for re-verification of study results.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.2 s.32
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• pp.13-20
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• 2005

Upon the request of balanced development of the country and making inroads into the continent of China the development of the west coast was begun in the late 1980s, which has been being continued till recently under the blueprint of making the western part of the capital region to be the hub of northeastern Asia. As more lively development is expected to continue in the area, there are many occurrences of change in topology and terrain in the west coast. This study was done to detect the topographic and terrain change of the vicinity of the west coast. To make the basic map of the change in topology and terrain, the mosaic images were made using landsat images. The accuracy of the images was examined by comparing them with GCP through 1:25,000's digital map. After that, among the resultant images of the 1970s and 2000s, those of Sihwa, Hwaong and Ansan, the lands reclaimed by drainage were compared to observe the change in the area. From the results, it was concluded that, in case of the land the topological change was not so big due to the development in the reclaimed land or the bare land, and the area of agriculture and downtown increased, the drainage and bare land area decreased by comparing the change of land use.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1133-1148
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• 2019

Tree growth and vitality in forest shows seasonal changes. So, in order to detect forest damage accurately, we have to use satellite images before and after damages taken at the same season. However, temporal resolution of high or medium resolution images is very low,so it is not easy to acquire satellite images of the same seasons. Therefore, in this study, we estimated spectral information of the same DOY using time-series Landsat images and used the estimates as reference values to assess forest damages. The study site is Hwasun, Jeollanam-do, where forest damage occurred due to hail and drought in 2017. Time-series vegetation index (NDVI, EVI, NDMI) maps were produced using all Landsat 8 images taken in the past 3 years. Daily normal vegetation index maps were produced through cloud removal and data interpolation processes. We analyzed the difference of daily normal vegetation index value before damage event and vegetation index value after event at the same DOY, and applied the criteria of forest damage. Finally, forest damage map based on daily normal vegetation index was produced. Forest damage map based on Landsat images could detect better subtle changes of vegetation vitality than the existing map based on UAV images. In the extreme damage areas, forest damage map based on NDMI using the SWIR band showed similar results to the existing forest damage map. The daily normal vegetation index map can used to detect forest damage more rapidly and accurately.