Retrieval of Vegetation Canopy Water Content Based on Spectral Index Method

被引:2
|
作者
Zhang, Linjing [1 ]
Ma, Hongzhang [2 ]
Zhu, Xiaobo [3 ]
Sun, Lin [1 ]
机构
[1] Shandong Univ Sci & Technol, Qingdao 266590, Shandong, Peoples R China
[2] China Univ Petr, Coll Sci, Qingdao 266590, Shandong, Peoples R China
[3] China Ctr Resources Satellite Data & Applicat, Beijing 100094, Peoples R China
基金
中国国家自然科学基金;
关键词
Canopy water content; Spectral index; Regression analysis; SCATTERING;
D O I
10.4028/www.scientific.net/AMM.295-298.2446
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on the physical models of PROSPECT and SAIL, hyperspectral data of different scenes were simulated. According to the simulated data, we built 7 spectral indexes highly linear correlated to vegetation canopy water content, and analyzed the relationship between spectral indexes and canopy water content. Then we built a multiple linear model of canopy water content with the spectral indexes that are highly correlated with FMC (Fuel Moisture Content). At last, using the model, the vegetation canopy water content from Hyperion was obtained. It shows that the spectral indexes: II, NDWI, Ratio(1200), Ratio(975), WI1, are highly correlated with canopy water content, and the multiple linear model built with them produces an effective result.
引用
收藏
页码:2446 / +
页数:2
相关论文
共 50 条
  • [21] Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index
    Pasqualotto, Nieves
    Delegido, Jesus
    Van Wittenberghe, Shari
    Verrelst, Jochem
    Pablo Rivera, Juan
    Moreno, Jose
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 67 : 69 - 78
  • [22] Dynamic Characteristics of Canopy and Vegetation Water Content during an Entire Maize Growing Season in Relation to Spectral-Based Indices
    Zhou, Huailin
    Zhou, Guangsheng
    Song, Xingyang
    He, Qijin
    REMOTE SENSING, 2022, 14 (03)
  • [23] Estimation and Visualization of Nitrogen Content in Citrus Canopy Based on Two Band Vegetation Index (TBVI)
    Wang Qiao-nan
    Ye Xu-jun
    Li Jin-meng
    Xiao Yu-zhao
    He Yong
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35 (03) : 715 - 718
  • [24] A Bayesian Network-Based Method to Alleviate the Ill-Posed Inverse Problem: A Case Study on Leaf Area Index and Canopy Water Content Retrieval
    Quan, Xingwen
    He, Binbin
    Li, Xing
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (12): : 6507 - 6517
  • [25] USE SPECTRAL DERIVATIVES FOR ESTIMATING CANOPY WATER CONTENT
    Clevers, J. G. P. W.
    100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 2, 2010, 38 : 143 - 147
  • [26] Estimation of Winter Wheat Canopy Chlorophyll Content Based on Canopy Spectral Transformation and Machine Learning Method
    Chen, Xiaokai
    Li, Fenling
    Shi, Botai
    Fan, Kai
    Li, Zhenfa
    Chang, Qingrui
    AGRONOMY-BASEL, 2023, 13 (03):
  • [27] Dependence of attenuation in a vegetation canopy on frequency and plant water content
    LeVine, DM
    Karam, MA
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (05): : 1090 - 1096
  • [28] RETRIEVAL OF CANOPY WATER CONTENT USING MULTIPLE PRIORI INROMATION
    Quan, Xingwen
    He, Binbin
    Li, Xing
    Yin, Changming
    Liao, Zhanmang
    Xing, Minfeng
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1863 - 1866
  • [29] Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA
    Trombetti, M.
    Riano, D.
    Rubio, M. A.
    Cheng, Y. B.
    Ustin, S. L.
    REMOTE SENSING OF ENVIRONMENT, 2008, 112 (01) : 203 - 215
  • [30] Comparison of hyperspectral retrievals with vegetation water indices for leaf and canopy water content
    Hunt, E. Raymond
    Daughtry, Craig S. T.
    Qu, John J.
    Wang, Lingli
    Hao, Xianjun
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY VIII, 2011, 8156