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A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters
http://hdl.handle.net/2241/00124628
http://hdl.handle.net/2241/00124628d8a3908d-9eeb-4485-91b6-80af43c6ea6a
名前 / ファイル | ライセンス | アクション |
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ISPRS_102 (1.6 MB)
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Item type | Journal Article(1) | |||||
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公開日 | 2015-05-26 | |||||
タイトル | ||||||
タイトル | A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Matsushita, Bunkei
× Matsushita, Bunkei× Yang, Wei× Yu, Gongliang× Oyama, Youichi× Yoshimura, Kazuya× Fukushima, Takehiko |
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著者別名 |
松下, 文経
× 松下, 文経× 福島, 武彦 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The chlorophyll-a (Chl-a) concentration is one of the most important parameters for evaluating the state of water environments, which often vary markedly across both time and space. Here we propose a hybrid algorithm for retrieving the Chl-a values from in situ remote sensing data. This hybrid algorithm contains three individual Chl-a estimation algorithms that were previously developed for clear waters (a blue–green algorithm), turbid waters (a two-band index-based red–near infrared algorithm), and highly turbid waters (a three-band index-based red–near infrared algorithm). The MCI value (maximum chlorophyll index) was used to switch the three algorithms. To evaluate the performance of the proposed hybrid algorithm, we used the in situ remote sensing reflectance and Chl-a values collected from five Asian lakes, the trophic status of which varied from oligotrophic to hypertrophic. The results showed that the hybrid algorithm performed well for a wide variety of optical properties, with the NMAE (normalized mean absolute error) of 13.3%. Our results indicate that the proposed hybrid algorithm has the potential for use as an operational tool for monitoring Chl-a in waters with widely varying trophic conditions without the requirement of reparameterization. | |||||
書誌情報 |
ISPRS journal of photogrammetry and remote sensing 巻 102, p. 28-37, 発行日 2015-04 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0924-2716 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10819878 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.isprsjprs.2014.12.022 | |||||
権利 | ||||||
権利情報 | © 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). NOTICE: this is the author’s version of a work that was accepted for publication in ISPRS journal of photogrammetry and remote sensing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ISPRS journal of photogrammetry and remote sensing,102, 2015. doi:10.1016/j.isprsjprs.2014.12.022. | |||||
著者版フラグ | ||||||
値 | author | |||||
出版者 | ||||||
出版者 | Elsevier B.V. |