Monitoring Growth Characters and Yield with Hyperspectral Remote Sensing in Wheat

Abstract:

This research aimed at studying the quantitative relationship between chlorophyll content, LAI, yield and spectral parameters of two species of winter wheat (Yangmai 13 and Xumai 31) with Free Air Temperature Increased facility. Four warming scenarios were designed in the experiment: all-day warming (AW, warming of 1.9°C, daytime warming (DW,6:00am-18:00pm,warming of 2.1°C), nighttime warming (NW,18:00 pm-6:00 am next day, warming of 1.7°C) and the control (CK, without warming). The results showed that reflectance of the four treatments at near infrared flat (nm-nm) had significant differences in booting stage and the sequence was: DW>AW>CK>NW. At visible band, the reflectance under NW treatment was much lower than that under other treatments. PND920 and P_Area920 were correlated with chlorophyll with high coefficient of determination. RVI and NDVI which constituted by the 810nm and 560nm reflectance were highly correlated with LAI. Booting stage was the optimum period for yield estimation. P_Depth560, NDVI (560,450) and RVI (560,450) were significantly related to yield and thus they could be utilized for yield prediction.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 838-843
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.838
• Online since: September 2014
• Authors: Xiao Dong Jiang*, Jiao Jiao Shi, Jia Ping Xu, Xiao Mei Wang
• Keywords: Chlorophyll Content, Hyperspectral, LAI, Wheat, Yield

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