• Title/Summary/Keyword: Landsat

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Detection of Heat Change in Urban Center Using Landsat Imagery (Landsat 영상을 이용한 도심의 열변화 탐지)

  • Kang, Joon-Mook;Ka, Myung-Seok;Lee, Sung-Soon;Park, Joon-Kyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.2
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    • pp.197-206
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    • 2010
  • Recently, developed countries have continuously been trying to recognize many issues about heat island in urban area and to make up countermeasures for them. This research is designed to extract change of land cover in the area under condition of land development with satellite images and to analyze its effect on the heat change in there. Heat change upon change of land cover in daejeon was analyzed with the four Landsat satellite images taken in April 1985, August 1994, May 2001, and May 2009. In order to measure the temperature on the surface in the city, the land surface temperature was produced with Landsat TM Band 6. Heat change is to detected with it. As a result, The urban area has been increased up to 23.59 percent. On the other hand, the forest area has been decreased up to 27.91%. Due to the urbanization, the temperature on the surface in urban center was higher than surrounding area. In that case, the temperature of urban center area was higher 2.4 to $5.7^{\circ}C$ compared with the forest area.

Observation of Forest Change and Estimation of Tree Ages of the Conifer over Kangwon-do by using Multi-Temporal, November-Landsat Images (다중시기 11월 Landsat 영상을 이용한 강원도 일대 임상의 변화관찰 및 상록수 영급의 구분)

  • Jeon Kyeong-Mi;Lee Hoon-Yol
    • Proceedings of the KSRS Conference
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    • 2006.03a
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    • pp.210-213
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    • 2006
  • 이 연구에서는 다중시기 Landsat 영상을 이용하여 강원도 일대 임상의 변화를 살펴보고 상록수의 영급을 구분하는 알고리즘을 개발하여 적용하였다. 1980년대에서 현재까지 축적된 Landsat-5와 Landsat-7영상 중에서, 대부분 지역에 활잡목 및 활엽수가 낙엽이 지고 눈이 아직 쌓이지 않을 시기인 11월에 촬영된 영상만을 이용하였다. 각 영상에서 양지바른 상록수, 활엽수, 그늘진 지역, 도시 및 바다 등을 클래스로 지정하여 감돌분류를 하였다. 분류 결과에서 양지바른 상록수만 추출하여 5개의 영상을 이진 분류체계로 조합한 후 임상의 시기적 변화 양상을 관찰한 결과, 강원대 연습림의 조림 기록 및 현황도와 상당히 일치함을 확인하였으며, Path 115, Row 34에 해당하는 강원도 일대로 연구지역을 확대하였다. 향후 Kompsat-2를 비롯한 고해상도 11월 영상이 지속적으로 촬영된다면, 이 연구에서 개발된 이진 분류체계 방법을 통하여 산림변화의 모니터링을 보다 용이하고 효율적으로 할 수 있을 것으로 기대된다.

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Comparison of Normalization Difference Vegetation Index due to difference in Landsat satellite sensor (Landsat 위성의 센서 차이에 의한 정규식생분포지수 비교)

  • Kwak, Jaehwan;Bhang, Kon Joon;Lee, Jin-Duk
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.135-136
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    • 2014
  • 지구온난화에 따른 이상기후현상을 해결하기 위해 인공위성영상을 이용한 식생의 변화유무와 특성파악이 중요하다. 특히, 인공위성의 근적외선 영역과 가시광선 영역을 이용한 정규식생분포지수는 식생의 활력도를 파악하고 변화유무를 판단하는 지표로서 많이 사용되고 있다. 하지만, 최근 발사된 Landsat 8 OLI의 경우 정규식생분포지수에 영향을 주는 근적외선 밴드의 파장대역이 기존의 TM/ETM+ 위성의 근적외선 밴드의 파장대역보다 감소하였다. 또한 이러한 파장대역 변화에 의한 정규식생분포지수의 차이에 대해서 공식적으로 연구한 사례가 없다. 그러므로 본 연구는 Landsat 8 OLI 위성영상과 Landsat 7 ETM+ 위성영상을 식생이 활발한 여름철(9월)과 그렇지 않은 겨울철(1월)의 영상을 각각 취득하여, 식생, 도심지, 도로, 농경지, 나지의 5가지 항목으로 분류하여 각각의 정규식생분포지수를 비교해보고 상관관계분석을 시도하였다.

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Analysis on 2016 Extreme Heat using Landsat-8 Satellite Imagery in Seoul (Landsat-8 위성영상을 이용한 '16년 서울시 폭염 분석)

  • Lee, Soo Bong;Kim, Young-Min;Kim, Jin-Young;Park, Young-Jin
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2016.11a
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    • pp.362-363
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    • 2016
  • 본 연구에서는 Landsat 위성영상이 가진 열적외 밴드를 이용하여 서울시의 '16년 지표면 온도 변화를 분석하였다. '16년 7월과 8월에 발생한 폭염에 의해 온열질환 환자 2,095명과 사망자 17명을 발생시켰다. 위성영상을 이용하여 동일시기의 한반도 전체 지역 파악에는 한계가 있지만 특정 지역의 변화 추이를 분석하는 것은 가능하다. 본 연구에서는 공간해상도 30m급인 Landsat 위성영상을 이용하여 서울시의 '16년 대비 '94년과 '14년의 지표면 온도 변화를 분석하였다. 분석 결과, '94년에 비해 $1.1^{\circ}C$가 낮고, '14년에 비해 $3.9^{\circ}C$ 높음으로 확인되었다.

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효율적인 LANDSAT영상의 주기적 간섭잡음 검출 및 제거

  • Gwon, Ho-Yeol;Seo, Ju-Ha;Jo, Cheol-Hui;Park, Jong-Cheol;Yang, In-Tae
    • 한국지형공간정보학회:학술대회논문집
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    • 1994.10a
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    • pp.42-46
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    • 1994
  • In this paper, we studied on an efficient detection and removal of the periodic scanner interference noise in LANDSAT images. Firstly, noise models and their characteristics are discussed. And we proposed a new scheme of noise detection in Fourier domain. Then, an dfficient noise filter can be designed based on the detected noise components. To verifythe effectiveness of our scheme, some experiments guided by our proposed scheme are performed using a real LANDSAT image.

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Vegetation Classification in Natural Swamp Area Using LANDSAT MSS (LANDSAT MSS 영상에 의한 자연 소택지의 식생분류)

  • 지광훈;강필종;조명희
    • Korean Journal of Remote Sensing
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    • v.2 no.1
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    • pp.13-21
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    • 1986
  • The study was emphasized on the applicability of Landsat data for vegetation classification of touch as small natural swamp areas Yujeon natural swamp in Haman-gun through image processing system. The image processing technique which was applied is maximum likelihood method. The classified types on the Landsat image are water, nelumbo, grass, agricultural field and conifer. The computer processed classification was compared the existed data for evaluating the result, but there are some difficulties on the exact comparison between them because of discordance of the temporal resolution. The result, anyhow, is quite remarkable that Landsat MSS data can be used for the quantitative estimates of vegetation type classification in such small area.

Monitoring Land Cover Changes in Nakdong River Basins Using Multi-temporal Landsat Imageries and LiDAR Data (다중시기에 촬영된 Landsat 영상과 LiDAR 자료를 활용한 낙동강 유역의 토지 피복 변화 모니터링)

  • Choung, Yun Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.242-242
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    • 2015
  • Monitoring the land cover changes in Nakdong River Basins using the multi-temporal remote sensing datasets is necessary for preserving properties in the river basins and monitoring the environmental changes in the river basins after the 4 major river restoration project. This research aims to monitor the land cover changes using the multi-temporal Landsat imageries and the airborne topographic LiDAR data. Firstly, the river basin boundaries are determined by using the LiDAR data, and the multiple river basin imageries are generated from the multi-temporal Landsat imageries by using the river basin boundaries. Next the classification method is employed to identify the multiple land covers in the generated river basin imageries. Finally, monitoring the land cover changes is implemented by comparing the differences of the same clusters in the multi-temporal river basin imageries.

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Delineation Of Coastal Features And Relative Turbidity Levels In The Mid West Sea Of Korea Using Landsat Imagery

  • Youn, Oong Koo;Lee, Byung Don;Kwak, Hi-Sang
    • 한국해양학회지
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    • v.11 no.1
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    • pp.9-17
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    • 1976
  • Multispectral scanner data collected by LANDSAT-1 over the mid West Sea of Korea were analyzed and interpreted for delineation of coastal features and turbidity distribution patterns during different portions of the tidal cycle. Imagery from two successful LANDSAT-1 overpasses of the area in October 1972 and in October 1973 had been used to prepare schematic maps of coastal features and turbidity distributions. Color composite imagery of LANDSAT MSS 4, 5 and 7 gave the best representation of shorelines, coastlines and tidal flats. MSS 5 imagery was most effective in differentiating relative turbidity levels through density slicing techniques. Referring to the tidal power development of Garolim Bay, the basin area measurements assuming dyke construction at the bay entrance, have been carried out on the coastal reature maps comiled from LANDSAT imagery, and those results were correlated with existing data. General areal patterns of surface turbidity distribution in the study area revealed close similarity with bathymetry of the area. Synoptic circulation patterns were also well discriminated from the LANDSAT imagery using the suspended sediment as a tracer.

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Spectral Reflectance of Mongsanpo Tidal Flat, Korea, by using Spectroradiometer Experiments and Landsat Data

  • Kim, Bum-Jun;Lee, Sungsoon;Lee, Hoonyol
    • Korean Journal of Remote Sensing
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    • v.33 no.4
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    • pp.411-422
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    • 2017
  • This research aims to analyze spectral reflectance of intertidal zone and its changes under various environmental conditions. We sampled sand of Mongsanpo tidal flat, Korea, and measured its spectral reflectance by using a spectroradiometer under various water contents, compositions and granularity. We also simulated the reflectance of Landsat 7 ETM+ and compared it with an actual satellite data. Five locations were selected for sampling from the coastline towards the ocean. Grain size diminished stepwise from the coastline to ocean direction, while spectral reflectance differed with wavelength. Water contents lowered the overall reflectance especially at the water absorption bands. Spectral reflectance data were then converted into the simulated one by using Landsat 7 ETM+ spectral reflectance function to be compared with the actual Landsat 7 ETM+ images. It showed the decrease of the spectral reflectance due to the increase of moisture contents from seashore towards the ocean. It is shown that Landsat 7 ETM+ imagery can be efficient to extract moisture contents in the tidal flat while compositional analysis needs satellite sensors with much higher spectral resolution.

Hydrosphere Change Monitoring of the Daecheong-Dam Basin using Multi-temporal Landsat Images (시계열 Landsat영상을 이용한 대청댐 유역의 수계변화 모니터링)

  • Um, dae-yong;Park, joon-kyu;Lee, jin-duk
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.932-936
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    • 2007
  • In this study, it analyzed the hydrosphere change up to recently since the construction of Daecheong dam using Landsat satellite images and qualitatively the hydrosphere change of the Daecheong dam basin. These study detected the hydrosphere change with applying supervised classification about Landsat satellite image corresponding to 4 periods of 1981, 1987, 1993, and 2002. For this, it designated the class of hydrosphere, vegetation, etc and achieved overlay analysis with extracting only the hydrosphere, and though this, These study monitored the change about hydrosphere of Daecheong dam basin efficiently.

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