Modelling of fraction of absorbed photosynthetically active radiation in vegetation canopy and its validation

被引:9
|
作者
Liu, Rongyuan [1 ,2 ]
Ren, Huazhong [1 ,4 ]
Liu, Suhong [1 ]
Liu, Qiang [3 ]
Li, Xiaowen [1 ]
机构
[1] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
[3] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
[4] Univ Strasbourg, CNRS, ICube Lab, F-67412 Illkirch Graffenstaden, France
基金
中国国家自然科学基金;
关键词
FPAR; Radiative transfer model; Vertical profile; MSHAW; LEAF-AREA INDEX; CYCLOPES GLOBAL PRODUCTS; LIGHT-SCATTERING; MODIS; LAI; FAPAR; ALGORITHM; LAYERS;
D O I
10.1016/j.biosystemseng.2015.03.004
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) has been identified as one of the key parameters in calculating ecosystem productivity. The objective of this paper is to model the vertical profile of FPAR in the canopy using a radiative transfer model, the Modified Simultaneous Heat and Water (MSHAW) radiation model. Model analysis indicated that the vertical distribution of the canopy FPAR was dependent on the leaf area index (LAI), average leaf orientation angle (ALA), solar position, and sky conditions. In the validation of the MSHAW model with three varieties of wheat leaf profile at different growth stages, two parabolic functions were developed to approximately reconstruct the shape of the wheat leaf for the first time and, consequently, the vertical profiles of LAI and ALA used to drive the MSHAW model were estimated. The validation results indicated that the estimated FPAR was close to the measurements made with the SunScan canopy analysis system with an RMSE of approximately 0.15 for the continuous canopy. Finally, this paper also discusses a promising method to perform time normalisation on canopy FPAR data using multiple temporal remotely sensed data observations and to retrieve FPAR from remotely sensed data based on the analysis of the MSHAW model. (C) 2015 IAgrE. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:81 / 94
页数:14
相关论文
共 50 条
  • [1] Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy
    Peng, Dailiang
    Zhang, Helin
    Yu, Le
    Wu, Mingquan
    Wang, Fumin
    Huang, Wenjiang
    Liu, Liangyun
    Sun, Rui
    Li, Cunjun
    Wang, Dacheng
    Xu, Fubao
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (22) : 8022 - 8040
  • [2] Modified vegetation indices for estimating crop fraction of absorbed photosynthetically active radiation
    Dong, Taifeng
    Meng, Jihua
    Shang, Jiali
    Liu, Jiangui
    Wu, Bingfang
    Huffman, Ted
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (12) : 3097 - 3113
  • [3] Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China
    Zhang, Feng
    Zhou, Guangsheng
    Nilsson, Christer
    JOURNAL OF PLANT ECOLOGY, 2015, 8 (04) : 429 - 435
  • [4] Canopy architecture and remote sensing of the fraction of photosynthetically active radiation absorbed by boreal conifer forests
    Chen, JM
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (06): : 1353 - 1368
  • [5] Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data
    Knyazikhin, Y
    Martonchik, JV
    Myneni, RB
    Diner, DJ
    Running, SW
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D24) : 32257 - 32275
  • [6] Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere-corrected MISR data
    Knyazikhin, Y
    Martonchik, JV
    Diner, DJ
    Myneni, RB
    Verstraete, M
    Pinty, B
    Gobron, N
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D24) : 32239 - 32256
  • [7] Remote estimation of fraction of radiation absorbed by photosynthetically active vegetation: generic algorithm for maize and soybean
    Gitelson, Anatoly A.
    REMOTE SENSING LETTERS, 2019, 10 (03) : 283 - 291
  • [8] Using hyperspectral vegetation indices to estimate the fraction of photosynthetically active radiation absorbed by corn canopies
    Tan, Changwei
    Samanta, Arindam
    Jin, Xiuliang
    Tong, Lu
    Ma, Chang
    Guo, Wenshan
    Knyazikhin, Yuri
    Myneni, Ranga B.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (24) : 8789 - 8802
  • [9] Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China
    Yang Zheng-Ian
    Zhang Ting-bin
    Yi Gui-hua
    Li Jing-ji
    Qin Yan-bin
    Chen Yang
    JOURNAL OF MOUNTAIN SCIENCE, 2021, 18 (04) : 891 - 906
  • [10] Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China
    Zheng-Ian Yang
    Ting-bin Zhang
    Gui-hua Yi
    Jing-ji Li
    Yan-bin Qin
    Yang Chen
    Journal of Mountain Science, 2021, 18 : 891 - 906