• Title/Summary/Keyword: Landsat Image

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Restoration of Landsat ETM+ SLC-off Gaps Using SPOT Image (SPOT 영상을 이용한 Landsat-7의 SLC-off 영상 복원)

  • Kim Hye-Jin;Yu Ki-Yun;Kim Yong-Il
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.229-234
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    • 2006
  • On May 31, 2003. Landsat 7 experienced an anomaly causing the Scan Line Corrector(SLC) to stop functioning normally. The SLC-off causes individual scan lines to alternately overlap and then leave large gaps at the edge of the Image. A many scientists with ongoing experience using ETM+ data evaluated the scientific usability and validity of Landsat 7 products containing the SLC anomaly The best reference scene for gap-filling is the other SLC-on Landsat scene that provide same resolution, few changes, and similar data acquisition. But receiving of Landsat imagery is not stable in Korea. So SPOT image can be another alternative solution because it is a steady-state multispectral satellite image as Landsat image. In this study, we filled the SLC-off gap s of 2, 3, 4 bands using SPOT image by a local regression technique, and assigned the optimum spectral value to gaps of 1, 5, 7 bands based on a spectral adjacency. Through this process, we could restore Landsat SLC-off image and evaluated the accuracy of the results.

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Automated Image Receiving and Processing System for Landsat 7

  • Park, Sung-Og;Kim, Moon-Gyu;Kim, Tae-Jung;Ji-Hyeon, Shin;Choi, Myung-jin;Park, Jeong-Hyun
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.573-577
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    • 2002
  • The Landsat Program is the longest running enterprise for acquisition of imagery of the Earth from space. The first Landsat satellite was launched in 1972 and the most recent, Landsat 7, was launched on April 15, 1999. The Landsat satellites have acquired millions of images. The Landsat 7 receiving station is installed at more than 25 sites and will be installed in Korea. This paper will address the work being carried out for the development of image receiving and processing system for the Landsat 7 image data, which will be used at ground station of Landsat 7 in Korea.

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The Integration of GIS with LANDSAT TM Data for Ground Water Potential Area Mapping (I) - Extraction of the Ground Water Potential Area using LANDSAT TM Data - (지하수 부존 가능지역 추출을 위한 LANDSAT TM 자료와 GIS의 통합(I) - LANDSAT TM 자료에 의한 지하수 부존 가능지역 추출 -)

  • 지종훈
    • Korean Journal of Remote Sensing
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    • v.7 no.1
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    • pp.29-43
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    • 1991
  • The study was performed to extraction the ground water potential area using LANDSAT TM data. The image processing techniques developed for the study are contrast transformation, differential filtering and pseudo stereoscopic image methods. These were examined for lineament extraction, lineament interpretation and the integration of vertor data with LANDSAT data. The differential filtering method is much usefull for lineament extraction, and all direction lineaments are clearly shown on the band 5 image of LANDSAT TM. The pseudo stereoscopic image are made in which color differential method is adopted, the pair images are usefull for the lineament interpretation. The results of the analysis are as follows. 1) there is a close correlation between lineament and cased well in the study area, because 33 wells of the developed 45 cased wells coincide with the lineaments. 2) 21 sites in the study area were selected for pumping test, and as a result 11 sites of them produces over than 200 ton/day.

Processing and Analysis of LANDSAT MSS Data for Extraction of Coastal Flow Patterns - around Incheon Bay - (연안수리현상 파악을 위한 LANDSAT MSS Data의 처리와 해석 -인천해역을 중심으로-)

  • 안철호;안기원;안호준
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.4 no.2
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    • pp.59-75
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    • 1986
  • The purpose of this study is to determine the most effective image analysis technique for extraction of coastal flow patterns from LANDSAT MSS data. Choosing the coastal area of Incheon, LANDSAT MSS data of oceanic area, which has generally low values of CCT data in comparison with the adjacent land was used On the basis of the above preparation, the most effective image analysis procedure of LANDSAT MSS data for the case of extraction of coastal flow patterns has been obtained through contrast stretching, color composite, and compression of bi-band image data.

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An Application of Landsat Image in Development of Hydrologic Planning Model(1) (수문계획모델에 있어서 Landsat 영상의 응용(1))

  • Yang, In Tae;Kim, Uk Nam;Yi, Kweon Joong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.12 no.1
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    • pp.159-166
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    • 1992
  • Landsat data are valuable in itself, and if they are classified in quantitative information and transformed to practical users, they will be more useful. In this view, it is very important to extract hydrologic parameter from Landsat data and to develope the hydrologic model that can be transformed to hydrologist to use it. This study is primary step for accomplishment of such purpose. This paper include output of hydrologic model which define the relation between soil condition and discharge and process of analysis of optical image or digital image that is adapted for hydrologic model. Finally, this paper present that Landsat image is very useful, economic and produce sufficiently accurate information for hydrologic model in large area watershed.

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Cloud Detection and Restoration of Landsat-8 using STARFM (재난 모니터링을 위한 Landsat 8호 영상의 구름 탐지 및 복원 연구)

  • Lee, Mi Hee;Cheon, Eun Ji;Eo, Yang Dam
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.861-871
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    • 2019
  • Landsat satellite images have been increasingly used for disaster damage analysis and disaster monitoring because they can be used for periodic and broad observation of disaster damage area. However, periodic disaster monitoring has limitation because of areas having missing data due to clouds as a characteristic of optical satellite images. Therefore, a study needs to be conducted for restoration of missing areas. This study detected and removed clouds and cloud shadows by using the quality assessment (QA) band provided when acquiring Landsat-8 images, and performed image restoration of removed areas through a spatial and temporal adaptive reflectance fusion (STARFM) algorithm. The restored image by the proposed method is compared with the restored image by conventional image restoration method throught MLC method. As a results, the restoration method by STARFM showed an overall accuracy of 89.40%, and it is confirmed that the restoration method is more efficient than the conventional image restoration method. Therefore, the results of this study are expected to increase the utilization of disaster analysis using Landsat satellite images.

Application of Landsat ETM Image to Estimate the Distribution of Soil Types and Erosional Pattern in the Wildfire Area of Gangneung, Gangweon Province, Korea (강원도 강릉시 산불지역에서의 토양유형의 분포와 침식양상파악을 위한 Landsat ETM 영상의 활용)

  • Yang, Dong-Yoon;Kim, Ju-Yong;Chung, Gong-Soo;Lee, Jin-Young
    • Journal of the Korean earth science society
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    • v.25 no.8
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    • pp.764-773
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    • 2004
  • The soil in wildfire area Sacheon-myeon, Gangneung, Gangweon Province, Korea, were investigated to clarify pattern of the soils. The soils were classified into 5 types on the basis of vegetation, types of organic matter. thickness of soil horizons, and completeness of soil profile. Each type showed different erosion pattern and Landsat ETM image. Coverage of plant leaves, litter, root, ash and other organic matter was an important component that affected soil color and reflectance of Landsat image (digital number). Although the NDVI (Normalized Distribution Vegetation Index) method in the wildfire area did not show much difference in soil types, the applied supervised classification method showed characteristic pattern of Landsat ETM image of soil types. This study showed that the applied supervised Landsat TM image classification in wildfire area is an effective way to estimate the distribution of erosion pattern of soil in wildfire area.

Biorthogonal Wavelets-based Landsat 7 Image Fusion

  • Choi, Myung-Jin;Kim, Moon-Gyu;Kim, Tae-Jung;Kim, Rae-Young
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.724-726
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    • 2003
  • Currently available image fusion methods are not efficient for fusing the Landsat 7 images. Significant color distortion is one of the major problems. In this paper, using the well-known wavelet based method for data fusion between high-resolution panchromatic and low-resolution multispectral satellite images, we performed Landsat 7 image fusion. Based on the experimental results obtained from this study, we analyzed some reasons for color distortion. A new approach using the biorthogonal wavelets based method for data fusion is presented. This new method has reached an optimum fusion result - with the same spectral resolution as the multispectral image and the same spatial resolution as the panchromatic image with minimum artifacts.

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Object oriented classification using Landsat images

  • Yoon, Geun-Won;Cho, Seong-Ik;Jeong, Soo;Park, Jong-Hyun
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.204-206
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    • 2003
  • In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.

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Multi-temporal Landsat ETM+ Mosaic Method for Generating Land Cover Map over the Korean Peninsula (한반도 토지피복도 제작을 위한 다시기 Landsat ETM+ 영상의 정합 방법)

  • Kim, Sun-Hwa;Kang, Sung-Jin;Lee, Kyu-Sung
    • Korean Journal of Remote Sensing
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    • v.26 no.2
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    • pp.87-98
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    • 2010
  • For generating accurate land cover map over the whole Korean Peninsula, post-mosaic classification method is desirable in large area where multiple image data sets are used. We try to derive an optimal mosaic method of multi-temporal Landsat ETM+ scenes for the land cover classification over the Korea Peninsula. Total 65 Landsat ETM+ scenes were acquired, which were taken in 2000 and 2001. To reduce radiometric difference between adjacent Landsat ETM+ scenes, we apply three relative radiometric correction methods (histogram matching, 1st-regression method referenced center image, and 1st-regression method at each Landsat ETM+ path). After the relative correction, we generated three mosaic images for three seasons of leaf-off, transplanting, leaf-on season. For comparison, three mosaic images were compared by the mean absolute difference and computer classification accuracy. The results show that the mosaic image using 1st-regression method at each path show the best correction results and highest classification accuracy. Additionally, the mosaic image acquired during leaf-on season show the higher radiance variance between adjacent images than other season.