LCM2: A coupled leaf/canopy radiative transfer model

被引:37
|
作者
Ganapol, BD
Johnson, LF
Hlavka, CA
Peterson, DL
Bond, B
机构
[1] Univ Arizona, Dept Aerosp & Mech Engn, Tucson, AZ 85721 USA
[2] Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721 USA
[3] Calif State Univ Monterey Bay, Inst Earth Syst Sci & Policy, Seaside, CA USA
[4] NASA, Ecosyst Sci & Technol Branch, Ames Res Ctr, Moffett Field, CA 94035 USA
[5] Oregon State Univ, Dept Forest Sci, Corvallis, OR 97331 USA
关键词
D O I
10.1016/S0034-4257(99)00030-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Two radiative transfer models have been coupled to generate vegetation canopy reflectance as a function of leaf chemistry, leaf morphology (as represented by leaf scattering properties), leaf thickness, soil reflectance, and canopy architecture. A model of radiative transfer within a leaf, called LEAFMOD, treats the radiative transfer equation for a slab of optically uniform leaf material, providing an estimate of leaf hemispherical reflectance and transmittance as well as the radiance exiting the leaf surfaces. The canopy model then simulates radiative transfer within a mixture of leaves, with each having uniform optical properties as determined by LEAFMOD, assuming a bi-Lambertian leaf scattering phase function. The utility of the model, called LCM2 (Leaf/Canopy Model version 2), is demonstrated through predictions of radiometric measurements of canopy reflectance and sensitivity to leaf chlorophyll and moisture content. (C)Elsevier Science Inc., 1999.
引用
收藏
页码:153 / 166
页数:14
相关论文
共 50 条
  • [41] Evaluation of the SAIL Radiative Transfer Model for Simulating Canopy Reflectance of Row Crop Canopies
    Han, Dalei
    Liu, Jing
    Zhang, Runfei
    Liu, Zhigang
    Guo, Tingrui
    Jiang, Hao
    Wang, Jin
    Zhao, Huarong
    Ren, Sanxue
    Yang, Peiqi
    REMOTE SENSING, 2023, 15 (23)
  • [42] The Canopy Semi-analytic Pgap And Radiative Transfer (CanSPART) model: Formulation and application
    Haverd, V.
    Lovell, J. L.
    Cuntz, M.
    Jupp, D. L. B.
    Newnham, G. J.
    Sea, W.
    AGRICULTURAL AND FOREST METEOROLOGY, 2012, 160 : 14 - 35
  • [43] Retrieval of Crop Canopy Chlorophyll: Machine Learning vs. Radiative Transfer Model
    Alam, Mir Md Tasnim
    Milas, Anita Simic
    Gasparovic, Mateo
    Osei, Henry Poku
    REMOTE SENSING, 2024, 16 (12)
  • [44] Retrieval of wheat leaf area index from AWiFS multispectral data using canopy radiative transfer simulation
    Nigam, Rahul
    Bhattacharya, Bimal K.
    Vyas, Swapnil
    Oza, Markand P.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2014, 32 : 173 - 185
  • [45] Two-scale Monte Carlo ray tracing for canopy-leaf vector radiative transfer coupling
    Kallel, Abdelaziz
    JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2020, 243
  • [46] A dorsiventral leaf radiative transfer model: Development, validation and improved model inversion techniques
    Stuckens, Jan
    Verstraeten, Willem W.
    Delalieux, Stephanie
    Swennen, Rony
    Coppin, Pol
    REMOTE SENSING OF ENVIRONMENT, 2009, 113 (12) : 2560 - 2573
  • [47] Canopy modeling of aquatic vegetation: A radiative transfer approach
    Zhou, Guanhua
    Niu, Chunyue
    Xu, Wujian
    Yang, Wenna
    Wang, Jiwen
    Zhao, Huijie
    REMOTE SENSING OF ENVIRONMENT, 2015, 163 : 186 - 205
  • [48] A deterministic method to characterize canopy radiative transfer properties
    Link, TE
    Marks, D
    Hardy, JP
    HYDROLOGICAL PROCESSES, 2004, 18 (18) : 3583 - 3594
  • [49] DIFFUSION ASYMPTOTICS OF A COUPLED MODEL FOR RADIATIVE TRANSFER: GENERAL INITIAL DATA
    Li, Lei
    Zhang, Zhengce
    COMMUNICATIONS ON PURE AND APPLIED ANALYSIS, 2024, 23 (05) : 595 - 619
  • [50] Finite element model for the coupled radiative transfer equation and diffusion approximation
    Tarvainen, T
    Vauhkonen, M
    Kolehmainen, V
    Kaipio, JP
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2006, 65 (03) : 383 - 405