Journal of Northern Agriculture ›› 2016, Vol. 44 ›› Issue (2): 73-73.

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The preliminary study on Remote sensing-based yield estimation of spring wheat by using HI(NDVI-SUM) and Expert knowledge——Taking Great Khingan Western Slope of Hulunbuir as an example

Wulantuya, YAO Xiaoyan,Wulan, BAO Junwei ,JIANG Yingjun (1.Inner Mongolia Academy of Agricultural Animal Husbandry Sciences, Hohhot 010031, China; 2.Labudalin Farm of Inner Mongolia,Labudalin 022250, China; 3.Hailar Agricultural and Livestock Management Bureau,Hailar 021008,China)   

  • Online:2016-04-20 Published:2016-04-20

Abstract: The study was to explore the large area of spring wheat yield by using remote sensing parameter and expert knowledge in Great Khingan western slope. Remote sensing parameter HINDVISUMwas calculated by MODIS NDVI time-series data and regression analysis with plot scale production was done and spring wheat yield was simulated in Great Khingan western slope of Hulun Buir.There was negative linear correlation between HINDVISUMindex and the average yield of spring wheat( y=-5769.493 x +6957.497,R2=0.386). The spring wheat planting area of Huamulan team was made accuracy test and the relative error was 13.7%.The results showed that the retrieval of HINDVISUMand expert knowledge was feasible in regional scale, but the further confirm of accuracy was needed to evaluate in other regions.

CLC Number: 

  • S127 TP79