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Journal Abstract Search

120 related items for PubMed ID: 37087642

  • 1. Spatial scale applicability of 4-Scale geometrical optics model canopy reflectance simulation.
    Wei M, Fan WY, Zhang HJ, Yu Y, Wu GM, Cheng TH.
    Ying Yong Sheng Tai Xue Bao; 2023 Mar; 34(3):605-613. PubMed ID: 37087642
    [Abstract] [Full Text] [Related]

  • 2. Estimation of forest canopy closure in northwest Yunnan based on multi-source remote sensing data colla-boration.
    Zhou WW, Shu QT, Wang SW, Yang ZD, Luo SL, Xu L, Xiao JN.
    Ying Yong Sheng Tai Xue Bao; 2023 Jul; 34(7):1806-1816. PubMed ID: 37694464
    [Abstract] [Full Text] [Related]

  • 3. [An Analysis of the Spectrums between Different Canopy Structures Based on Hyperion Hyperspectral Data in a Temperate Forest of Northeast China].
    Yu QZ, Wang SQ, Huang K, Zhou L, Chen DC.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jul; 35(7):1980-5. PubMed ID: 26717763
    [Abstract] [Full Text] [Related]

  • 4. [The research on bidirectional reflectance computer simulation of forest canopy at pixel scale].
    Song JL, Wang JD, Shuai YM, Xiao ZQ.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Aug; 29(8):2141-7. PubMed ID: 19839326
    [Abstract] [Full Text] [Related]

  • 5. [Effects of temporal and spatial variation of canopy structures and light conditions on population characteristics of Fargesia decurvata.].
    Huang HM, Dong R, He DN, Xiang YR, Zhang XJ, Chen J, Tao JP.
    Ying Yong Sheng Tai Xue Bao; 2018 Jul; 29(7):2129-2138. PubMed ID: 30039649
    [Abstract] [Full Text] [Related]

  • 6. [Variation of leaf area index estimation in forests based on remote sensing images of different spatial scales.].
    Liu T, Chen C, Fan WY, Mao XG, Yu Y.
    Ying Yong Sheng Tai Xue Bao; 2019 May; 30(5):1687-1698. PubMed ID: 31107026
    [Abstract] [Full Text] [Related]

  • 7. [Forest canopy leaf area index in Maoershan Mountain: ground measurement and remote sensing retrieval].
    Zhu GL, Ju WM, Jm C, Fan WY, Zhou YL, Li XF, Li MZ.
    Ying Yong Sheng Tai Xue Bao; 2010 Aug; 21(8):2117-24. PubMed ID: 21043124
    [Abstract] [Full Text] [Related]

  • 8. Plant ecophysiological processes in spectral profiles: perspective from a deciduous broadleaf forest.
    Noda HM, Muraoka H, Nasahara KN.
    J Plant Res; 2021 Jul; 134(4):737-751. PubMed ID: 33970379
    [Abstract] [Full Text] [Related]

  • 9. Moisture content estimation of forest litter based on remote sensing data.
    Yang X, Yu Y, Hu H, Sun L.
    Environ Monit Assess; 2018 Jun 23; 190(7):421. PubMed ID: 29934742
    [Abstract] [Full Text] [Related]

  • 10. [Fraction of absorbed photosynthetically active radiation over summer maize canopy estimated by hyperspectral remote sensing under different drought conditions.].
    Liu EH, Zhou GS, Zhou L.
    Ying Yong Sheng Tai Xue Bao; 2019 Jun 23; 30(6):2021-2029. PubMed ID: 31257775
    [Abstract] [Full Text] [Related]

  • 11. Chlorophyll content retrieval from hyperspectral remote sensing imagery.
    Yang X, Yu Y, Fan W.
    Environ Monit Assess; 2015 Jul 23; 187(7):456. PubMed ID: 26095901
    [Abstract] [Full Text] [Related]

  • 12. [Ground diameter-height models of naturally regenerated seedlings and saplings under broad-leaved mixed forest in Maoershan Mountains.].
    Wang JH, Dong LH, Li FR.
    Ying Yong Sheng Tai Xue Bao; 2019 Nov 23; 30(11):3811-3823. PubMed ID: 31833695
    [Abstract] [Full Text] [Related]

  • 13. A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy.
    Cifuentes R, Van der Zande D, Salas-Eljatib C, Farifteh J, Coppin P.
    Sensors (Basel); 2018 Oct 08; 18(10):. PubMed ID: 30297651
    [Abstract] [Full Text] [Related]

  • 14. Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire.
    Fernández-Guisuraga JM, Verrelst J, Calvo L, Suárez-Seoane S.
    Remote Sens Environ; 2021 Mar 15; 255():. PubMed ID: 36081599
    [Abstract] [Full Text] [Related]

  • 15. [Estimation of forest canopy chlorophyll content based on PROSPECT and SAIL models].
    Yang XG, Fan WY, Yu Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Nov 15; 30(11):3022-6. PubMed ID: 21284176
    [Abstract] [Full Text] [Related]

  • 16. A novel moisture adjusted vegetation index (MAVI) to reduce background reflectance and topographical effects on LAI retrieval.
    Zhu G, Ju W, Chen JM, Liu Y.
    PLoS One; 2014 Nov 15; 9(7):e102560. PubMed ID: 25025128
    [Abstract] [Full Text] [Related]

  • 17. [Nitrogen content inversion of wheat canopy leaf based on ground spectral reflectance data].
    Song X, Xu DY, Huang SM, Huang CC, Zhang SQ, Guo DD, Zhang KK, Yue K.
    Ying Yong Sheng Tai Xue Bao; 2020 May 15; 31(5):1636-1644. PubMed ID: 32530242
    [Abstract] [Full Text] [Related]

  • 18. [Impacts of different alkaline soil on canopy spectral characteristics of overlying vegetation].
    Jia KL, Zhang JH.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Mar 15; 34(3):782-6. PubMed ID: 25208412
    [Abstract] [Full Text] [Related]

  • 19. [Application of near-surface remote sensing in monitoring the dynamics of forest canopy phenology.].
    Liu F, Wang CK, Wang XC.
    Ying Yong Sheng Tai Xue Bao; 2018 Jun 15; 29(6):1768-1778. PubMed ID: 29974684
    [Abstract] [Full Text] [Related]

  • 20. Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm.
    Tan C, Zhou X, Zhang P, Wang Z, Wang D, Guo W, Yun F.
    PLoS One; 2020 Jun 15; 15(3):e0228500. PubMed ID: 32160185
    [Abstract] [Full Text] [Related]

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