Impact of Vegetation Structure on Drought Indices Based on MODIS Spectrum

被引:2
|
作者
Du Ling-tong [1 ,2 ]
Tian Qing-jiu [2 ]
Wang Lei [1 ,2 ]
机构
[1] Ningxia Univ, Minist Educ, Key Lab Restorat & Reconstruct Degraded Ecosyst N, Yinchuan 750021, Peoples R China
[2] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Jiangsu, Peoples R China
关键词
Vegetation structure; MODIS; Spectral drought index; Leaf water content; PROSAIL; WATER;
D O I
10.3964/j.issn.1000-0593(2015)04-0982-05
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The drought indices based. on MODIS spectral reflectance data are widely used for drought characterization and monitoring in agricultural context. Based on the PROSAIL model and MODIS observational data in Shandong in 2010, the present paper studied the impact of vegetation structure of leaf area index and physiological growth cycle on MODIS spectral drought index. The results showed that the reflectance of three MODIS bands in spectrum of near-infrared and shortwave infrared changes significantly with leaf water content of vegetation. Therefore, the five kinds of MODIS spectral drought index constructed by those MODIS bands can be used to monitor the leaf water content of vegetation. However, all drought indices are affected by leaf area index. In general, the impact is serious in the case of low LAI values and is weakened with the increase in LAI value. The study found that physiological vegetation growth cycle also affects the magnitude of MODIS spectral drought indices. In conclusion, the impact of vegetation structure must be carefully considered when using MODIS spectral drought indices to monitor drought. The conclusion of this study provides a theoretical basis for remote sensing of drought monitoring.
引用
收藏
页码:982 / 986
页数:5
相关论文
共 11 条
  • [1] CAI Bo-feng, 2007, REMOTE SENSING LAND, V19, P39
  • [2] Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands
    Chen, DY
    Huang, JF
    Jackson, TJ
    [J]. REMOTE SENSING OF ENVIRONMENT, 2005, 98 (2-3) : 225 - 236
  • [3] NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space
    Gao, BC
    [J]. REMOTE SENSING OF ENVIRONMENT, 1996, 58 (03) : 257 - 266
  • [4] Designing of the perpendicular drought index
    Ghulam, Abduwasit
    Qin, Qiming
    Zhan, Zhiming
    [J]. ENVIRONMENTAL GEOLOGY, 2007, 52 (06): : 1045 - 1052
  • [5] PROSPECT - A MODEL OF LEAF OPTICAL-PROPERTIES SPECTRA
    JACQUEMOUD, S
    BARET, F
    [J]. REMOTE SENSING OF ENVIRONMENT, 1990, 34 (02) : 75 - 91
  • [6] Evaluating the Utility of MODIS Vegetation Index for Monitoring Agricultural Drought
    Li Hua-peng
    Zhang Shu-qing
    Gao Zi-qiang
    Sun Yan
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (03) : 756 - 761
  • [7] Tian Q J, 2000, CHINESE SCI BULL, V45, P2645
  • [8] NMDI: A normalized multi-band drought index for monitoring soil and vegetation moisture with satellite remote sensing
    Wang, Lingli
    Qu, John J.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (20)
  • [9] Yang F, 2010, PROCEEDINGS OF THE 5TH INTERNATIONAL ACADEMIC CONFERENCE ON ENVIRONMENTAL AND OCCUPATIONAL MEDICINE, P4, DOI 10.1109/APPEEC.2010.5449236
  • [10] [杨何群 Yang Hequn], 2012, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V26, P161