Influence of canopy biochemical and biophysical variables on reflectance spectra based on canopy radiative transfer model with adding noise

被引:0
|
作者
Liu, Pudong [1 ,2 ,3 ,4 ,5 ]
Shi, Runhe [1 ,2 ,3 ,4 ,5 ]
Wang, Hong [1 ,2 ,3 ,4 ,5 ]
Liu, Chaoshun [1 ,2 ,3 ,4 ,5 ]
Sun, Zhibin [6 ]
Gao, Wei [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
机构
[1] E China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
[2] E China Normal Univ, Joint Lab Environm Remote Sensing & Data Assimila, Shanghai 200241, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Shanghai 200241, Peoples R China
[4] E China Normal Univ, Joint Res Inst New Energy & Environm, Shanghai 200062, Peoples R China
[5] Colorado State Univ, Shanghai 200062, Peoples R China
[6] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
[7] Colorado State Univ, Dept Ecosyst Sci & Sunstainabil, Ft Collins, CO 80523 USA
关键词
Sensitivity analysis; canopy; reflectance; EFAST; PROSAIL; SENSITIVITY; LEAF; PROSPECT;
D O I
10.1117/12.2186727
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
To provide a reference for canopy parameters inversion, sensitivity analysis of plant canopy parameters based on remote sensing model is a prerequisite for the inversion. Because the local sensitivity analysis do not consider the coupling effect among the parameters, the EFAST (i.e., Extended Fourier Amplitude Sensitivity Test), a global sensitivity analysis, can be used not only for the analysis of each parameter, but also consider the interacted effect among each parameter. Based on PROSAIL model, the paper focused on the parameters' sensitivity by using simulated data and EFAST method. The results showed that the EFAST considered not only the contribution of single parameter, but also the interactive effects among each parameter, and four parameters, leaf area index (LAI), leaf mesophyll structure (N), the controller factor of the average leaf slope (LIDFa) and soil moisture condition (psoil) had great effect on the canopy reflectance in the whole wavelength from 400 to 2500 nm than other canopy parameters, and the EFAST method enlarged the contribution of some parameters that had little effects.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] A Generalized Layered Radiative Transfer Model in the Vegetation Canopy
    戴秋丹
    孙菽芬
    Advances in Atmospheric Sciences, 2006, (02) : 243 - 257
  • [22] Canopy Bidirectional Reflectance Calculation based on Adding method and SAIL formalism
    Kallel, Abdelaziz
    Le Hegarat-Mascle, Sylvie
    Ottle, Catherine
    Hubert-Moy, Laurence
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 2554 - +
  • [23] PRINCIPLES OF THE RADIOSITY METHOD VERSUS RADIATIVE-TRANSFER FOR CANOPY REFLECTANCE MODELING
    GERSTL, SAW
    BOREL, CC
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1992, 30 (02): : 271 - 275
  • [24] Sensitivity studies on the effect of surface soil moisture on canopy reflectance using the radiative transfer model GeoSAIL
    Bach, H
    Verhoef, W
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 1679 - 1681
  • [25] Speeding up 3D radiative transfer simulations: A physically based metamodel of canopy reflectance dependency on wavelength, leaf biochemical composition and soil reflectance
    Jiang, Jingyi
    Weiss, Marie
    Liu, Shouyang
    Rochdi, Nadia
    Baret, Frederic
    REMOTE SENSING OF ENVIRONMENT, 2020, 237
  • [26] Simulation and analysis of NDVI performance based on vegetation canopy radiative transfer model
    Zeng, Yuyan
    Shi, Runhe
    Liu, Pudong
    Ai, Jinquan
    Zhou, Cong
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XII, 2015, 9610
  • [27] FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation
    Kallel, Abdelaziz
    JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2020, 253 (253):
  • [28] Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
    Yang, Bin
    Knyazikhin, Yuri
    Xie, Donghui
    Zhao, Haimeng
    Zhang, Junqiang
    Wu, Yi
    REMOTE SENSING, 2018, 10 (10)
  • [29] A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape
    Kobayashi, Hideki
    Iwabuchi, Hironobu
    REMOTE SENSING OF ENVIRONMENT, 2008, 112 (01) : 173 - 185