Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China

Remote Sensing

Feng Zhang¹  Guangsheng Zhou²  Pablo J. Zarco-Tejada³  Clement Atzberger³ 

[1]State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

[2] E-Mail:

[3]Chinese Academy of Meteorological Sciences, Beijing 100081, China

[4]State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

[5] E-Mail

关键词: canopy water content;    drought stress gradients;    hyperspectral remote sensing;    maize canopy;    spectral vegetation indices;   

DOI  :  10.3390/rs71115203

来源: mdpi

【 摘 要 】

Here, we conducted drought stress gradient experiments of maize, and used ten water content related vegetation indices (VIs) to estimate widely variable canopy water content (CWC) and mean leaf equivalent water thickness at canopy level ( and VIs were more closely related in 2013 than in 2014. CWC and relative soil water content (RSWC) obviously exhibited a two-dimensional trapezoid space, which illustrated that CWC was determined not only by soil water status but also by crop growth and stage of development. This study demonstrated that nearly half of the variation in CWC explained by spectral information was derived from the variation in leaf area index (LAI).

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.