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      The Assessment of Cross Calibration/Validation Accuracy for KOMPSAT-3 Using Landsat 8 and 6S = The Assessment of Cross Calibration/Validation Accuracy for KOMPSAT-3 Using Landsat 8 and 6S

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      https://www.riss.kr/link?id=A107296079

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      다국어 초록 (Multilingual Abstract)

      In this study, we performed cross calibration of KOMPSAT-3 AEISS imaging sensor with reference to normalized pixels in the Landsat 8 OLI scenes of homogenous ROI recorded by both sensors between January 2014 and December 2019 at the Libya 4 PICS. Cros...

      In this study, we performed cross calibration of KOMPSAT-3 AEISS imaging sensor with reference to normalized pixels in the Landsat 8 OLI scenes of homogenous ROI recorded by both sensors between January 2014 and December 2019 at the Libya 4 PICS. Cross calibration is using images from a stable and well-calibrated satellite sensor as references to harmonize measurements from other sensors and/or characterize other sensors. But cross calibration has two problems; RSR and temporal difference. The RSR of KOMPSAT-3 and Landsat 8 are similar at the blue and green bands. But the red and NIR bands have a large difference. So we calculate SBAF of each sensor. We compared the SBAF estimated from the TOA Radiance simulation with KOMPSAT-3 and Landsat 8, the results displayed a difference of about 2.07~2.92% and 0.96~1.21% in the VIS and NIR bands. Before SBAF, Reflectance and Radiance difference was 0.42~23.23%. Case of difference temporal, we simulated by 6S and Landsat 8 for alignment the same acquisition time. The SBAF-corrected cross calibration coefficients using KOMPSAT-3, 6S and simulated Landsat 8 compared to the initial cross calibration without correction demonstrated a percentage difference in the spectral bands of about 0.866~1.192%. KOMPSAT-3 maximum uncertainty was estimated at 3.26~3.89%; errors due to atmospheric condition minimized to less than 1% (via 6S); Maximum deviation of KOMPSAT-3 DN was less than 1%. As the result, the results affirm that SBAF and 6s simulation enhanced cross-calibration accuracy.

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      참고문헌 (Reference)

      1 Thome, K., "Vicarious calibration of MODIS using Railroad Valley Playa" 3 : 1209-1211, 2001

      2 Concha, J., "Vicarious calibration of GOCI for the SeaDAS ocean colorretrieval" 40 (40): 3984-4001, 2019

      3 Paynter, D., "Variations in water vapor continuum radiative transfer with atmospheric conditions" 117 (117): 1-23, 2012

      4 Chander, G., "Use of EO-1Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7ETM+ and Terra MODIS sensors" 1667-1670, 2010

      5 Tahnk, W.J. Jr, "Updated calibration coefficientsfor NOAA-14AVHRR channels 1and 2" 22 (22): 3053-3057, 2001

      6 Teillet, P. M., "Threemethods for the absolute calibration of the NOAA AVHRR sensors in-flight" 31 (31): 105-120, 1990

      7 Irons, J., "The next Landsat satellite : The Landsat DataContinuity Mission" 122 : 11-21, 2012

      8 Gao, C., "The cross-calibration of CBERS-02B/CCDvisible-nearinfraredchannels with Terra/MODIS channels" 34 (34): 3688-3698, 2013

      9 Barsi, J. A., "The Spectral Response of the Landsat-8 Operational Land Imager" 6 (6): 10232-10251, 2014

      10 Fontenla, J. M., "Semiempirical Models of the Solar Atmosphere. III. Set of Non-Lte Models forFar-Ultraviolet/Extreme-UltravioletIrradiance Computation" 707 (707): 482-502, 2009

      1 Thome, K., "Vicarious calibration of MODIS using Railroad Valley Playa" 3 : 1209-1211, 2001

      2 Concha, J., "Vicarious calibration of GOCI for the SeaDAS ocean colorretrieval" 40 (40): 3984-4001, 2019

      3 Paynter, D., "Variations in water vapor continuum radiative transfer with atmospheric conditions" 117 (117): 1-23, 2012

      4 Chander, G., "Use of EO-1Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7ETM+ and Terra MODIS sensors" 1667-1670, 2010

      5 Tahnk, W.J. Jr, "Updated calibration coefficientsfor NOAA-14AVHRR channels 1and 2" 22 (22): 3053-3057, 2001

      6 Teillet, P. M., "Threemethods for the absolute calibration of the NOAA AVHRR sensors in-flight" 31 (31): 105-120, 1990

      7 Irons, J., "The next Landsat satellite : The Landsat DataContinuity Mission" 122 : 11-21, 2012

      8 Gao, C., "The cross-calibration of CBERS-02B/CCDvisible-nearinfraredchannels with Terra/MODIS channels" 34 (34): 3688-3698, 2013

      9 Barsi, J. A., "The Spectral Response of the Landsat-8 Operational Land Imager" 6 (6): 10232-10251, 2014

      10 Fontenla, J. M., "Semiempirical Models of the Solar Atmosphere. III. Set of Non-Lte Models forFar-Ultraviolet/Extreme-UltravioletIrradiance Computation" 707 (707): 482-502, 2009

      11 Cosnefroy, H., "Selection and characterization of Saharan and Arabian desertsitesforthe calibration of opticalsatellite sensors" 58 (58): 101-114, 1996

      12 Bacour, C., "RevisitingPseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km Scales" 11 (11): 1166-, 2019

      13 Teillet, P. M., "Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets" 78 (78): 39-54, 2001

      14 Pagnutti, M., "Radiometric characterization of IKONOS multispectral imagery" 88 (88): 53-68, 2003

      15 Kim, J., "Radiometric characterization and validation for the KOMPSAT3 sensor" 6 (6): 529-538, 2015

      16 Helder, D. L., "Optimizedidentificationofworldwideradiometric pseudo-invariant calibration sites" 36 (36): 527-539, 2010

      17 Govaerts, Y., "Optical Sensor Calibration using simulated radiances over desertsites" 6932-6935, 2012

      18 Markham, B. L., "Landsat-7ETM+ on-orbitreflective-band radiometric stability and absolute calibration" 42 (42): 2810-2820, 2004

      19 Kaewmanee, M., "Inter-comparison of theos and landsat-5 TM over the Libya 4pseudo-invariant calibration site" 58-67, 2012

      20 Teillet, P. M., "Impacts ofspectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain" 110 (110): 393-409, 2007

      21 Angal, A., "Impact ofTerra MODIS Collection 6 on long-termtrending comparisons with Landsat 7 ETM+ reflective solar bands" 4 (4): 873-881, 2013

      22 Masonis, S.J., "Gain of the AVHRR visible channel as tracked using bidirectional reflectance of Antarctic and Greenland snow" 22 (22): 1495-1520, 2001

      23 Thome, K., "Cross comparison of EO-1 sensors and other Earth resources sensors to Landsat-7 ETM+ using Railroad Valley Playa" 41 (41): 1180-1188, 2003

      24 Lacherade, S., "Cross Calibration Over Desert Sites : Description, Methodology, and Operational Implementation" 51 (51): 1098-1113, 2013

      25 Dinguirard, M., "Calibration of Space-MultispectralImagingSensors : AReview" 68 (68): 194-205, 1999

      26 Smith, D. L., "Calibration monitoring of the visible and nearinfrared channels of the along-track scanning radiometer-2 by use of stable terrestrial sites" 41 (41): 515-523, 2002

      27 Cao, C., "Assessing the consistency of AVHRR and MODIS L1B reflectance for generating FundamentalClimate DataRecords" 113 (113): 1-10, 2008

      28 Chander, G., "Applications ofSpectralBandAdjustment Factors(SBAF)for Cross-Calibration" 51 (51): 1267-1281, 2013

      29 Chance, K., "An improved highresolution solar reference spectrum for Earth’s atmosphere measurements in the ultraviolet, visible, and nearinfrared" 111 (111): 1289-1295, 2010

      30 Rossow, W. B., "Advances in UnderstandingCloudsfrom ISCCP" 80 (80): 2261-2288, 1999

      31 Mishra, N., "AbsoluteCalibration ofOpticalSatelliteSensors Using Libya 4 Pseudo Invariant Calibration Site" 6 (6): 1327-1346, 2014

      32 Helder, D., "Absolute Radiometric Calibration of Landsat Using a Pseudo Invariant Calibration Site" 51 (51): 1360-1369, 2013

      33 Teillet, P. M., "A generalized approach to the vicarious calibration of multiple Earth observation sensors using hyperspectral data" 77 (77): 304-327, 2001

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      2027 평가예정 재인증평가 신청대상 (재인증)
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      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-07-24 학술지등록 한글명 : 대한원격탐사학회지
      외국어명 : Korean Journal of Remote Sensing
      KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.52 0.52 0.54
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.53 0.44 0.725 0.12
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