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342 related items for PubMed ID: 30445752

  • 1. Retrieving the Diurnal FPAR of a Maize Canopy from the Jointing Stage to the Tasseling Stage with Vegetation Indices under Different Water Stresses and Light Conditions.
    Zhao L, Liu Z, Xu S, He X, Ni Z, Zhao H, Ren S.
    Sensors (Basel); 2018 Nov 15; 18(11):. PubMed ID: 30445752
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  • 3. An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model.
    Liang S, Ma W, Sui X, Wang M, Li H.
    Plants (Basel); 2023 May 09; 12(10):. PubMed ID: 37653844
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  • 4. Effectiveness of vegetation indices and UAV-multispectral imageries in assessing the response of hybrid maize (Zea mays L.) to water deficit stress under field environment.
    Pipatsitee P, Tisarum R, Taota K, Samphumphuang T, Eiumnoh A, Singh HP, Cha-Um S.
    Environ Monit Assess; 2022 Nov 19; 195(1):128. PubMed ID: 36402920
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  • 7. [Research on maize multispectral image accurate segmentation and chlorophyll index estimation].
    Wu Q, Sun H, Li MZ, Song YY, Zhang YE.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jan 19; 35(1):178-83. PubMed ID: 25993844
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  • 11. [Spatial-temporal variation of fraction of absorbed photosynthetically active radiation (FPAR) in Beijing during 2010-2012.].
    Xie JF, Guo J.
    Ying Yong Sheng Tai Xue Bao; 2016 Apr 22; 27(4):1203-1210. PubMed ID: 29732777
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  • 12. Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize.
    Zhang F, Zhou G.
    BMC Ecol; 2019 Apr 29; 19(1):18. PubMed ID: 31035986
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  • 13. Scaling photosynthetic function and CO2 dynamics from leaf to canopy level for maize - dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity.
    Campbell P, Middleton E, Huemmrich K, Ward L, Julitta T, Yang P, van der Tol C, Daughtry C, Russ A, Alfieri J, Kustas W.
    Data Brief; 2021 Dec 29; 39():107600. PubMed ID: 34901341
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  • 14. Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices.
    Zhang Y, Han W, Niu X, Li G.
    Sensors (Basel); 2019 Nov 29; 19(23):. PubMed ID: 31795309
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  • 16. Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: implications for remote sensing of crop primary production.
    Gitelson AA, Peng Y, Arkebauer TJ, Suyker AE.
    J Plant Physiol; 2015 Apr 01; 177():100-109. PubMed ID: 25723474
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  • 17. Remotely Assessing Fraction of Photosynthetically Active Radiation (FPAR) for Wheat Canopies Based on Hyperspectral Vegetation Indexes.
    Tan C, Wang D, Zhou J, Du Y, Luo M, Zhang Y, Guo W.
    Front Plant Sci; 2018 Apr 01; 9():776. PubMed ID: 29930568
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  • 18. Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest.
    Yang H, Yang X, Zhang Y, Heskel MA, Lu X, Munger JW, Sun S, Tang J.
    Glob Chang Biol; 2017 Jul 01; 23(7):2874-2886. PubMed ID: 27976474
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  • 19. [Research on Accuracy and Stability of Inversing Vegetation Chlorophyll Content by Spectral Index Method].
    Jiang HL, Yang H, Chen XP, Wang SD, Li XK, Liu K, Cen Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Apr 01; 35(4):975-81. PubMed ID: 26197586
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  • 20. Improving the Prediction of African Savanna Vegetation Variables Using Time Series of MODIS Products.
    Tsalyuk M, Kelly M, Getz WM.
    ISPRS J Photogramm Remote Sens; 2017 Sep 01; 131():77-91. PubMed ID: 30739997
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