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Journal Abstract Search

179 related items for PubMed ID: 22707149

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  • 2. A multi-band semi-analytical algorithm for estimating chlorophyll-a concentration in the Yellow River Estuary, China.
    Chen J, Quan W, Cui T.
    Water Environ Res; 2015 Jan; 87(1):44-51. PubMed ID: 25630126
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  • 3. Novel methods for monitoring low chlorophyll-a concentrations in the large, oligotrophic Lake Malawi/Nyasa/Niassa.
    Makwinja R, Inagaki Y, Tesfamichael SG, Curtis CJ.
    J Environ Manage; 2024 Jul; 364():121462. PubMed ID: 38878578
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  • 4. Spectral correlation in MODIS water-leaving reflectance retrieval uncertainty.
    Zhang M, Ibrahim A, Franz BA, Sayer AM, Werdell PJ, McKinna LI.
    Opt Express; 2024 Jan 15; 32(2):2490-2506. PubMed ID: 38297777
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  • 7. Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results.
    Dall'Olmo G, Gitelson AA.
    Appl Opt; 2006 May 20; 45(15):3577-92. PubMed ID: 16708105
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  • 8. Estimation of chlorophyll a content in inland turbidity waters using WorldView-2 imagery: a case study of the Guanting Reservoir, Beijing, China.
    Wang X, Gong Z, Pu R.
    Environ Monit Assess; 2018 Sep 29; 190(10):620. PubMed ID: 30269190
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  • 9. Tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake based on GOCI imagery.
    Du C, Li Y, Wang Q, Liu G, Zheng Z, Mu M, Li Y.
    Environ Sci Pollut Res Int; 2017 Dec 29; 24(36):28079-28101. PubMed ID: 28994019
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  • 16. Dissolved inorganic nutrients and chlorophyll A in an estuary receiving sewage treatment plant effluents: Cachoeira River estuary (NE Brazil).
    Silva MA, Eça GF, Santos DF, Guimarães AG, Lima MC, de Souza MF.
    Environ Monit Assess; 2013 Jul 29; 185(7):5387-99. PubMed ID: 23179722
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  • 17. Remote sensing estimation of chlorophyll-a concentration in Taihu Lake considering spatial and temporal variations.
    Cheng C, Wei Y, Lv G, Xu N.
    Environ Monit Assess; 2019 Jan 18; 191(2):84. PubMed ID: 30659368
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  • 20. Improving lake chlorophyll-a interpreting accuracy by combining spectral and texture features of remote sensing.
    Yang Y, Zhang X, Gao W, Zhang Y, Hou X.
    Environ Sci Pollut Res Int; 2023 Jul 18; 30(35):83628-83642. PubMed ID: 37349490
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