Validation of a green-red quasi-analytical algorithm for inherent optical properties in East China Sea

被引:1
作者
Shi, Liangliang [1 ,2 ]
Mao, Zhihua [1 ,2 ]
Wang, Zheng [2 ,3 ]
Zhang, Yiwei [2 ,4 ]
Hao, Zengzhou [2 ]
Zhu, Qiankun [2 ]
Wang, Difeng [2 ]
Gong, Fang [2 ]
Huang, Haiqing [2 ]
机构
[1] Zhejiang Univ, Hangzhou 310028, Zhejiang, Peoples R China
[2] State Ocean Adm, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Zhejiang, Peoples R China
[3] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China
[4] Chinese Acad Sci, Shanghai Inst Tech Phys, Shanghai 200083, Peoples R China
来源
REMOTE SENSING OF THE OCEAN, SEA ICE, COASTAL WATERS, AND LARGE WATER REGIONS 2018 | 2018年 / 10784卷
关键词
Absorption coefficient; Green-red index; Quasi-analytical algorithm; East China Sea; REFLECTANCE; WATERS;
D O I
10.1117/12.2325484
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
A green-red quasi-analytical algorithm, QAA-GRI, was calibrated to derive inherent optical properties (IOPs) using an in situ dataset from Lake Qiandaohu (QDH). First, 510 nm was chosen as the reference band based on the general structure of the quasi-analytical algorithm (QAA). Second, a green-red index (GRI), which was calculated from the remote sensing reflectance at the three wavelengths (510, 560 and 620 nm), was used to retrieve the total absorption coefficients at the reference band, a(510). A semi-analytical model based on a(510) and the GRI was proposed to replace the empirical model in original QAA. Subsequently, QAA-GRI, is calibrated to analytically retrieve total absorption coefficient for Lake Qiandaohu (QDH). The algorithm was further validated using the in situ data set collected in East China Sea (ECS) on January 1-12, 2016 and May 25-June 2, 2017. The QAA-GRI's performance in ECS was compared with that of QAA-v5. Our results show that the QAA-GRI performs better in ECS with mean R-2 of 0.87, compared with that the QAA-v5 of 0.53, and a mean absolutely percentage error of 19.2%, compared with that the QAA-v5 of 24.8%, respectively. These results indicate the potential of QAA-GRI to accurately estimate the IOPs for coastal and inland waters.
引用
收藏
页数:6
相关论文
共 24 条
  • [21] PROGRESS ON A NEW ANALYTICAL ALGORITHM TO RETRIEVE INHERENT OPTICAL PROPERTIES FROM OCEAN COLOR REMOTE SENSING
    Twardowski, Michael
    Tonizzo, Alberto
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7994 - 7997
  • [22] A new algorithm based on phytoplankton absorption coefficient for red tide monitoring in the East China Sea
    Xu, Xiaohui
    Chen, Jian
    Shu, Fangfang
    REMOTE SENSING OF THE OCEAN, SEA ICE, COASTAL WATERS, AND LARGE WATER REGIONS 2018, 2018, 10784
  • [23] A three-step semi analytical algorithm (3SAA) for estimating inherent optical properties over oceanic, coastal, and inland waters from remote sensing reflectance
    Jorge, Daniel S. F.
    Loisel, Hubert
    Jamet, Cedric
    Dessailly, David
    Demaria, Julien
    Bricaud, Annick
    Maritorena, Stephane
    Zhang, Xiaodong
    Antoine, David
    Kutser, Tiit
    Belanger, Simon
    Brando, Vittorio O.
    Werdell, Jeremy
    Kwiatkowska, Ewa
    Mangin, Antoine
    D'Andon, Odile Fanton
    REMOTE SENSING OF ENVIRONMENT, 2021, 263
  • [24] A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI)
    Xu, Xiaohui
    Huang, Yaqin
    Chen, Jian
    Zeng, Zhi
    REMOTE SENSING, 2025, 17 (05)