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《Chinese Agricultural Science Bulletin》 2015-15
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Remote Sensing Estimation of Chlorophyll Content in Different Growth Periods of Summer Corn Based on Vegetation Index

Yuan Yuan;Hu Bo;Wu Xinghou;Zhao Ting;Chang Qingrui;The Meteorological Bureau of Danfeng County;College of Natural Resources and Environment, Northwest A & F University;  
Chlorophyll content is an important indirect agronomic parameter judging corn nutrition status,which has significant meaning for crop growth monitoring. The author measured the canopy spectral reflectanceand chlorophyll relative content of summer corn in key growth period by using ASD portable spectrometer andSPAD-502 chlorophyll meter. Correlation analysis of the 3 vegetation indexes and chlorophyll relative contentwere also conducted. The author established an estimation model based on the normalized difference vegetationindex(NDVI), the ratio of vegetation index(RVI) and difference vegetation index(DVI) of chlorophyll andselected a best fitting model from accuracy test. The results showed that the RMSE and RE of jointing stage RVI, heading stage and filling stage NDVI and dough stage DVI were the lowest. The RMSE were 5.688, 5.323,2.751 and 4.111, respectively, and RE were 9.84%, 8.56%, 3.75% and 7.15%, respectively, so they were thebest models of each period. Therefore, the optimal models of the 3 vegetation indexes(NDVI, RVI and DVI)were achieved in different growth stages. It has guiding significance for the cultivation of summer corn and field management.
【Fund】: “十二五”国家科技支撑计划资助项目“旱区多遥感平台农田信息精准获取技术集成与应用项目”(2012BAH29B04);; 高等学校博士学科点专项科研基金资助项目“渭河流域农田土壤环境与作物营养状况遥感监测原理与方法”(20120204110013)
【CateGory Index】: TP79
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