• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.1
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• pp.30-40
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• 2020

Monitoring the urban environmental changes caused by the urban regeneration project is necessary for evaluating the effect of the various types of urban regeneration projects that have been carried out in Seoul, South Korea. However, there is few available data and professional expert for evaluating the effect of these urban regeneration projects. This research evaluated the effect of the construction of rainwater village in Jangwi-dong area, constructed through the Seoul urban regeneration project, by utilizing the land surface temperatures derived from the multi-temporal Landsat-8 satellite images through the following steps. In the first step, the land surface temperature images were generated using the multispectral bands of the Landsat-8 satellite images. In the final step, the effect of constructing the rainwater villages was assessed by calculating the seasonal LST statistics for Jangwi-dong area, its neighbor area and entire Seoul area. The experimental results led the following conclusion: the construction of rainwater villages did not have the significant effect on the land surface temperature changes in Jangwi-dong area.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.54-59
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• 1999

The KITSAT-3, launched on May 26th of 1999, is equiped with a high-resolution earth-watch sensor that has spectral bands similar to that of the SPOT. In this paper, the primary discussion is on Investigation of possible application of images acquired from this sensor The secondary discussion is on the comparison of the images with those of Landsat TM and SPOT.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.178-182
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• 2000

본 연구의 목적은 실험실에서 퇴적물의 다분광반사 특성과 물성을 측정하고 이를 위성 영상에 적용하여 영상에서 나타나는 퇴적물의 분광차이의 원인을 해석하고, 위성영상에서의 퇴적물의 분류 가능성을 연구하는데 있다. 연구에서는 Landsat TM위성 영상과 350~2500nm 파장대역에 대한 퇴적물 시료의 분광측정 자료를 사용하였으며, 기존의 조사 자료를 토대로 TM 영상에서 퇴적물을 분류한 후, 현장에서 시료를 채취하여 입도 분류를 실시하였다. 퇴적물의 입도와 함수비에 따른 분광특성변화를 검증하였으며, 입도와 함수비에 대한 회귀식을 구하여 이를 영상에 적용 분류하였다. 분석 결과 다분광자료 측정시 퇴적물입도에 따른 분광차이는 미약하였으며 이를 TM 자료로 재구성하였을 때는 분광특성을 구분할 수 없었다. 퇴적물의 분류는 TM Band 4, 5, 7을 이용한 회귀식을 적용할 때 비교적 정확하게 나타났으나, 영상에서 퇴적물의 분광 차이는 입도 크기가 직접적인 요인이 아니라 입도에 의한 함수비 및 유기물 함량의 차이에 기인한 것으로 해석된다.

• Economic and Environmental Geology
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• v.43 no.5
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• pp.467-475
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• 2010

The Landsat and ASTER data have been used in mineralogical and lithological studies, and they have also proved to be useful tool in the initial steps for mineral exploration throughout Nevada mining district, US. Huge pyrophyllite quarry mines, including Jungang, Samsung, Kyeongju, and Naenam located in the southeastern part of Gyeongsang Basin. The geology of study area consists mainly of Cretaceous volcanic rocks, which belong into Cretaceous Hayang and Jindong Group. They were intruded by Bulgugsa granites, so called Sannae-Eonyang granites. To extraction of Ratio model for pyrophyllite deposits, tuffaceous rock and pyrophyllite ores from the Jungang mine used in reflectance spectral analysis and these results were re-sampled to Landsat and ASTER bandpass. As a result of these processes, the pyrophyllite ores spectral features show strong reflectance at band 5, whereas strong absorption at band 7 in Landsat data. In the ASTER data, the pyrophyllite ores spectral features show strong absorption at band 5 and 8, whereas strong reflectance at band 4 and 7. Based on these spectral features, as a result of application of $Py_{Landsat}$ model to hydrothermal alteration zone and other exposed sites, the DN values of two different areas are 1.94 and 1.19 to 1.49, respectively. The differences values between pyrophyllite deposits and concrete-barren area are 0.472 and 0.399 for $Py_{ASTER}$ model, 0.452 and 0.371 for OHIb model, 0.365 and 0.311 for PAK model, respectively. Thus, $Py_{ASTER}$ and $Py_{Landsat}$ model proposed from this study proved to be more useful tool for the extraction of pyrophyllite deposits relative to previous models.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.1
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• pp.1-9
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• 2004

Until comparatively lately the use of vector data is the main current in GIS fields. Vector data have many advantages such as easy of scale change, small data volume and so on. But it also has some weak point that can't apply real world. The other hand the satellite images have strong point that can apply real world actually. Recently rapid progress of computer capacity and processing velocity is the current trend of the times. Therefore in this study I intend to develop GIS application based on satellite images with vector data and raster data altogether. This system is developed by using Visual C＋＋ in the personal computer and MS Access's MDB far database management. The LANDSAT, KOMPSAT and IKONOS satellite image database were used in this study. Also, we are studied to set up scale for screen display according to spatial resolution.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.2 s.25
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• pp.61-66
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• 2003

The change detection using the satellite imagery and airphotos has been carried out in the application of terrain mapping, environment, forestry, facility detection, etc. The low-spatial resolution data such as Landsat, NOAA satellite images is generally used for automatic change detection, while on the other hand the high-spatial resolution data is used for change detection by image interpretation. The research to integrate automatic method with manual change detection through the high-spatial resolution satellite image is performed. but the problem such as shadow, building 'lean' due to perspective geometry and precision geocorrection was found. In this paper we performed change detection using the IKONOS satellite images, and present the concerning problem.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.44-54
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• 2005

In this study the tidal area in Seo han bay, North Korea was detected and extracted by using various satellite images (ASTER, KOMPSAT EOC, Landsat TM/ETM+) and GIS spatial analysis. Especially, the micro-landform was classified through the spectral characteristic of each satellite image and the change of tidal flat size was detected on passing year. For this, the spectral characteristics of eight tidal flat area in Korea, which are called as Seo han bay, Gwang ryang bay, Hae iu bay, Gang hwa bay, A san bay, Garorim bay, Jul po bay and Soon chun bay, were analyzed by using multi band of multi spectral satellite images such as Landsat TM/ETM+. Moreover, the micro-landform tidal flat in Seo han bay, North Korea was extracted by using ISODATA clustering based on the result of spectral characteristic. In addition, in order to detect the change of tidal flat size on passing years, the ancient topography map (1918-1920) was constructed as GIS DB. Also, the tidal flat distribution map based on the temporal satellite images were constructed to detect the tidal flat size for recent years. Through this, the efficient band to classify the micro-landform and detect its boundary was clarified and one possibility of KOMPSAT EOC application could be also introduced by extracting the spatial information of tidal flat efficiently.

• 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.33 no.3
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• pp.287-299
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• 2017

The Southern Volcanic Zone (SVZ) of Chile consists of many volcanoes, including the Mt.Villarrica and Mt.Llaima, and the two volcanoes are covered with snow at the top of Mountain. The purpose of this study is to analyze the relationship between the ice caps and the volcanic activity of the two volcanoes for 25 years by using the satellite image data are available in a time series. A total of 60 Landsat-5 TM and Landsat-7 ETM + data were used for the study from September 1986 to February 2011. Using NDSI (Normalized Difference Snow Index) algorithm and SRTM DEM, snow cover and snowline were extracted. Finally, the snow cover area, lower-snowline, and upper-snowline, which are quantitative indicators of snow cover change, were directly or indirectly affected by volcanic activity, were extracted from the satellite images. The results show that the volcanic activity of Villarrica volcano is more than 55% when the snow cover is less than 20 and the lower-snowline is 1,880 m in Llaima volcano. In addition, when the upper-snowline of the two volcanoes is below -170m, it can be confirmed that the volcano is differentiated with a probability of about 90%. Therefore, the changes in volcanic snowfall are closely correlated with volcanic activity, and it is possible to indirectly deduce volcanic activity by monitoring the snow.

• Spatial Information Research
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• v.11 no.1
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• pp.13-22
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• 2003

The study of geomorphology of tidal flat using remote sensing image has been considered useful because of it's ability to acquire data periodically. Especially, the Near Infrared band of satellite image has been used to divide between land and sea area. This study extracted a borderline of the tidal flat using Landsat-5 images and generated DEM(Digital elevation model) using tide level data as elevation value. DEM is a useful tool for three-dimensional survey of geomorphology and can be used for survey of tidal flat. This study divided 8 images of 1990's into two parts - before 1994 and after 1994 - and generated DEM respectively. In this work, the areas of tidal flats are calculated and it was revealed the area of tidal flat was decreased after 1994.