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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/101559


    題名: Spectral Information Adaptation and Synthesis Scheme for Merging Cross-Mission Ocean Color Reflectance Observations from MODIS and VIIRS
    作者: 陳繼藩;Bai, Kaixu;Chang, Ni-Bin;Chen, Chi-Farn
    貢獻者: 太空及遙測研究中心
    關鍵詞: Aquatic environment;Band spectra;Bands;Consistency;Data merging;Estuaries;Image color analysis;Infrared imaging;Inland waters;Lakes;Merging;Moderate Resolution Imaging Spectroradiometer (MODIS);MODIS;Ocean color;Oceans;Reflectance;remote sensing;Satellites;Sensors;Spectra;Systematics;Visible Infrared Imaging Radiometer Suite (VIIRS)
    日期: 2016-01-01
    上傳時間: 2026-04-21 14:37:46 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
    摘要: 摘要: Obtaining a full clear view of coastal bays, estuaries, lakes, and inland waters is challenging with single satellite sensor observations due to cloud impacts. Cross-mission sensors provide the synergistic opportunity to improve spatial and temporal coverage by merging their observations; however, discrepancies originating from the instrumental, algorithmic, and temporal differences should be eliminated before merging. This paper presents the Spectral Information Adaptation and Synthesis Scheme (SIASS) for generating cross-mission consistent ocean color reflectance by merging 2012-2015 observations from Moderate Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite over Lake Nicaragua in Central America, where the cloud impact is salient. The SIASS is able to not only eliminate incompatibilities for matchup bands but also reconstruct spectral information for mismatched bands among sensors. Statistics indicate that the average monthly coverage of a merged ocean color reflectance product over Lake Nicaragua is nearly twice that of any single-sensor observation. Results show that SIASS significantly improves consistency among cross-mission sensors by mitigating prominent discrepancies. In addition, reconstructed spectral information for those mismatched bands help preserve more spectral characteristics needed to better monitor and understand the dynamic aquatic environment. The final implementation of SIASS to map the chlorophyll-α concentration demonstrates the efficacy of SIASS in bias correction and consistency improvement. In general, SIASS can be applied to remove cross-mission discrepancies among sensors to improve the overall consistency.
    其他題名: TGRS
    出版者: New York: IEEE
    出版日期: 2016-01-01
    出處: IEEE transactions on geoscience and remote sensing, 2016-01, Vol.54 (1), p.311-329
    資源來源: IEEE Electronic Library (IEL)
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jan 2016
    識別號: ISSN: 0196-2892
    識別號: ISSN: 1558-0644
    識別號: EISSN: 1558-0644
    識別號: DOI: 10.1109/TGRS.2015.2456906
    識別號: CODEN: IGRSD2
    顯示於類別:[太空及遙測研究中心] 期刊論文

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