Chinese Journal of Agrometeorology ›› 2014, Vol. 35 ›› Issue (05): 586-592.doi: 10.3969/j.issn.1000-6362.2014.05.017

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Spectral Response Characteristics of Rice Canopy Under Drought Stress at Jointing Stage and Heading Stage

Sayran WALEY,GE Dao kuo, CAO Hong xin,ZHANG Jia hua, LI Bing bai   

  1. 1College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing210044, China; 2Institute of Agricultural Economics and Information/Engineering Research Center for Digital Agriculture,Jiangsu Academy of Agricultural Sciences,Nanjing 210014; 3 Institute of Remote Sensing and Digital Earth/Key Laboratory of Digital Earth Science,Chinese Academy of Sciences, Beijing 100049;4Climatic Center of Xinjiang Uygur Autonomous Region of China, Urumqi 830002
  • Received:2014-01-02 Online:2014-10-20 Published:2015-02-11

Abstract: The canopy spectral reflectance of rice at jointing and heading stage under drought treatment and control (normal processing) was measured by using ASD (Field Spec Pro FR2500) spectral radiometer, the spectral variation of rice canopy, vegetation index, water index, derivative spectral characteristics were analyzed under drought stress. The results showed that the visible and near infrared reflectance were,under drought stress,significantly decreased than that of CK at jointing and heading stage, and short infrared reflectance was significantly increased than that of CK,which resulted in all of red edge position of derivative spectra went shortwave direction. Meanwhile,red edge and red edge slope decreased significantly,the composite constructed index of six vegetation index or water index decreased, with the four band moisture index (SRND)and normalized difference infrared index (NDVII) decreased obviously. The visible and near infrared reflectance rate decreased significantly and short infrared band reflectance rate increased significantly after 20d of jointing and 10d of heading under drought stress. During this period, the red edge characteristic parameters, vegetation moisture index decreased slightly. These results could provide technical for the application of hyper spectral remote sensing technology to monitor the rice drought rapidly and nondestructive.

Key words: Drought stress to rice, Spectral characteristics, Red edge feature, Veg