• Journal of Infrared and Millimeter Waves
  • Vol. 37, Issue 5, 621 (2018)
MIAO Song1、*, WANG Rui1, LI Jian-Chao1, WU Zhi-Ming1, SHI Lei1, LYU Heng1、2、3, LI Yun-Mei1、2、3, ZHAO Shao-Hua4, and LIU Si-Han4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • show less
    DOI: 10.11972/j.issn.1001-9014.2018.05.016 Cite this Article
    MIAO Song, WANG Rui, LI Jian-Chao, WU Zhi-Ming, SHI Lei, LYU Heng, LI Yun-Mei, ZHAO Shao-Hua, LIU Si-Han. Retrieval algorithm of phycocyanin concentration in inland lakes from Sentinel 3A-OLCI images[J]. Journal of Infrared and Millimeter Waves, 2018, 37(5): 621 Copy Citation Text show less
    References

    [1] Guo L. Doing Battle With the Green Monster of Taihu Lake[J]. Science, 2007,317(5842):1166.

    [2] Stone R. Ecology. China aims to turn tide against toxic lake pollution[J]. Science, 2011, 333(6047):1210.

    [3] Richardson L L. Remote Sensing of Algal Bloom Dynamics[J]. Bioscience, 1996,46(7):492-501.

    [5] Jupp D, Kirk J, Harris G P, et al. Detection, identification and mapping of cyanobacteria—Using remote sensing to measure the optical quality of turbid inland waters[J]. Marine & Freshwater Research, 1994, 45(5):135-53.

    [6] Kutser T, Metsamaa L, Strmbeck N, et al. Monitoring cyanobacterial blooms by satellite remote sensing[J]. Estuarine Coastal & Shelf Science, 2006, 67(1-2):303-312.

    [7] Hunter P D, Tyler A N, Carvalho L, et al. Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes.[J]. Remote Sensing of Environment, 2010, 114(11):2705-2718.

    [8] Dekker A G. Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing[J]. Amsterdam Vrije Universiteit, 1993.

    [9] Schalles J F, Yacobi Y Z. Remote detection and seasonal patterns of phycocyanin, carotenoid and chlorophyll pigments in eutrophic waters[J]. Ergebnisse Der Limnologie, 2000, 55:153-168.

    [10] ZKStefan G H. Simis.Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water[J]. Limnology & amp; Oceanography, 2005, 50(1): 237-245.

    [11] Stefan G.H. Simis,Antonio Ruiz-Verdú, Ramón Pea-Martinez,Herman J. Gons. Influence of phytoplankton pigment composition on remote sensing of cyanobacterial biomass[J]. Remote Sensing of Environment, 2007, 106(4):414-427.

    [13] Qi L, Hu C, Duan H, et al. A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations[J]. Remote Sensing of Environment, 2014, 154:298-317.

    [14] Liaw A, Wiener M. Classification and regression by randomForest[J]. R news, 2002, 2(3):18-22.

    [15] Leo Breiman. Bagging Predictors[J]. Machine Learning, 1996, 24(2):123-140.

    [16] Ho T K. The random subspace method for constructing decision forests[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1998, 20(8):832-844.

    [17] Grimm R, Behrens T, Mrker M, et al. Soil organic carbon concentrations and stocks on Barro Colorado Island—Digital soil mapping using Random Forests analysis[J]. Geoderma, 2008, 146(1): 102-113.

    [22] Lyu H, Li X, Wang Y, et al. Evaluation of chlorophyll-a retrieval algorithms based on MERIS bands for optically varying eutrophic inland lakes.[J]. Science of the Total Environment, 2015, s530-531:373-382.

    [23] Lyu H, Wang Q, Wu C, et al. Variations in optical scattering and backscattering by organic and inorganic particulates in Chinese lakes of Taihu, Chaohu and Dianchi[J]. Chinese Geographical Science, 2015, 25(1):26-38.

    [24] Shi K, Li Y, Li L, et al. Absorption characteristics of optically complex inland waters: Implications for water optical classification[J]. Journal of Geophysical Research Biogeosciences, 2013, 118(2):860-874.

    [26] Team, Sentinel-3. Sentinel-3 User Handbook[M]. ESA Standard Document, 2013.

    [27] Ruddick K G, Ovidio F, Rijkeboer M. Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters[J]. Applied optics, 2000, 39(6):897-912.

    [32] Ren Y, Pei H, Hu W, et al. Spatiotemporal distribution pattern of cyanobacteria community and its relationship with the environmental factors in Hongze Lake, China.[J]. Environmental Monitoring & Assessment, 2014, 186(10):6919.

    MIAO Song, WANG Rui, LI Jian-Chao, WU Zhi-Ming, SHI Lei, LYU Heng, LI Yun-Mei, ZHAO Shao-Hua, LIU Si-Han. Retrieval algorithm of phycocyanin concentration in inland lakes from Sentinel 3A-OLCI images[J]. Journal of Infrared and Millimeter Waves, 2018, 37(5): 621
    Download Citation