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93 related items for PubMed ID: 28586747

  • 1. Estimating the biomass of unevenly distributed aquatic vegetation in a lake using the normalized water-adjusted vegetation index and scale transformation method.
    Gao Y, Gao J, Wang J, Wang S, Li Q, Zhai S, Zhou Y.
    Sci Total Environ; 2017 Dec 01; 601-602():998-1007. PubMed ID: 28586747
    [Abstract] [Full Text] [Related]

  • 2. A novel strategy for estimating biomass of submerged aquatic vegetation in lake integrating UAV and Sentinel data.
    Lu L, Luo J, Xin Y, Xu Y, Sun Z, Duan H, Xiao Q, Qiu Y, Huang L, Zhao J.
    Sci Total Environ; 2024 Feb 20; 912():169404. PubMed ID: 38104807
    [Abstract] [Full Text] [Related]

  • 3. Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery.
    Ma R, Duan H, Gu X, Zhang S.
    Sensors (Basel); 2008 Jun 25; 8(6):3988-4005. PubMed ID: 27879919
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  • 4. Remote sensing estimation of the total phosphorus concentration in a large lake using band combinations and regional multivariate statistical modeling techniques.
    Gao Y, Gao J, Yin H, Liu C, Xia T, Wang J, Huang Q.
    J Environ Manage; 2015 Mar 15; 151():33-43. PubMed ID: 25528271
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  • 6. Remote sensing of aquatic vegetation distribution in Taihu Lake using an improved classification tree with modified thresholds.
    Zhao D, Jiang H, Yang T, Cai Y, Xu D, An S.
    J Environ Manage; 2012 Mar 15; 95(1):98-107. PubMed ID: 22115514
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  • 8. A hyper-temporal remote sensing protocol for high-resolution mapping of ecological sites.
    Maynard JJ, Karl JW.
    PLoS One; 2017 Mar 15; 12(4):e0175201. PubMed ID: 28414731
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  • 10. [Responses of aquatic vegetation coverage to interannual variations of water level in different hydrologically connected sub-lakes of Poyang Lake, China].
    Wang H, Chen WB, He L, Li HF.
    Ying Yong Sheng Tai Xue Bao; 2022 Jan 15; 33(1):191-200. PubMed ID: 35224941
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  • 12. Spatio-Temporal Variability of Aquatic Vegetation in Taihu Lake over the Past 30 Years.
    Zhao D, Lv M, Jiang H, Cai Y, Xu D, An S.
    PLoS One; 2013 Jan 15; 8(6):e66365. PubMed ID: 23823189
    [Abstract] [Full Text] [Related]

  • 13. Remote and field level quantification of vegetation covariates for malaria mapping in three rice agro-village complexes in Central Kenya.
    Jacob BG, Muturi EJ, Mwangangi JM, Funes J, Caamano EX, Muriu S, Shililu J, Githure J, Novak RJ.
    Int J Health Geogr; 2007 Jun 05; 6():21. PubMed ID: 17550620
    [Abstract] [Full Text] [Related]

  • 14. Depth Estimation of Submerged Aquatic Vegetation in Clear Water Streams Using Low-Altitude Optical Remote Sensing.
    Visser F, Buis K, Verschoren V, Meire P.
    Sensors (Basel); 2015 Sep 30; 15(10):25287-312. PubMed ID: 26437410
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  • 16. Mapping global lake aquatic vegetation dynamics using 10-m resolution satellite observations.
    Hou X, Liu J, Huang H, Zhang Y, Liu C, Gong P.
    Sci Bull (Beijing); 2024 Oct 15; 69(19):3115-3126. PubMed ID: 38906736
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  • 19. Spatially Explicit Large Area Biomass Estimation: Three Approaches Using Forest Inventory and Remotely Sensed Imagery in a GIS.
    Wulder MA, White JC, Fournier RA, Luther JE, Magnussen S.
    Sensors (Basel); 2008 Jan 24; 8(1):529-560. PubMed ID: 27879721
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