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An improved algorithm for estimating the Secchi disk depth from remote sensing data based on the new underwater visibility theory
http://hdl.handle.net/2241/00157252
http://hdl.handle.net/2241/001572529f52b138-5fea-46bd-987a-c22b25e89cc9
名前 / ファイル | ライセンス | アクション |
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ISPRS_152 (3.7 MB)
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Item type | Journal Article(1) | |||||
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公開日 | 2019-07-30 | |||||
タイトル | ||||||
タイトル | An improved algorithm for estimating the Secchi disk depth from remote sensing data based on the new underwater visibility theory | |||||
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 |
松下, 文経
× 松下, 文経× Jiang, Dalin× Setiawan, Fajar× Vundo, Augusto |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The Secchi disk depth (ZSD) is a widely used parameter for evaluating water clarity. Here we propose an improved algorithm, which is based on a new underwater visibility theory, for retrieving more accurate ZSD from remote sensing reflectance (Rrs) in various waters. Two improvements were carried out in the new algorithm. First, we used a hybrid quasi-analytical algorithm (QAA_hybrid) instead of the sixth version of QAA (QAA_v6) for retrieving more accurate total absorption coefficient (a(λ)) and total backscattering coefficient (bb(λ)) even in turbid inland waters. Second, we used a dynamic KT/Kd ratio (i.e., ratio of diffuse attenuation coefficient of upwelling radiance and diffuse attenuation coefficient of downwelling irradiance) instead of using the fixed ratio (i.e., 1.5). The results obtained from in situ Rrs show that the improved ZSD estimation algorithm gave more accurate ZSD estimations, with the root mean square error (RMSE) reduced from 0.2 to 0.1 in log10 unit, mean absolute percentage error (MAPE) reduced from 39% to 20% (N = 178 with in situ ZSD values between 0.3 and 20.8 m). We then applied the improved ZSD estimation algorithm to the 2003–2012 MERIS images for Lake Kasumigaura to further confirm the performance of the improved ZSD estimation algorithm. The results obtained from 19 matchups demonstrate that the estimated ZSD matched well with the in situ ZSD, with the RMSE of 0.11 m and the MAPE of 15%. The improved ZSD estimation algorithm shows a potential to estimate more accurate ZSD values from remote sensing data in various waters. | |||||
書誌情報 |
ISPRS journal of photogrammetry and remote sensing 巻 152, p. 13-23, 発行日 2019-06 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09242716 | |||||
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.2019.04.002 | |||||
権利 | ||||||
権利情報 | © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||
著者版フラグ | ||||||
値 | author | |||||
出版者 | ||||||
出版者 | Elsevier |