Taking Chen Barag Banner (County) of Inner Mongolia, one of the most important spring wheat producing areas as an example, the spring wheat yield (per unit area yield) was estimated by using China’s environmental disaster mitigation satellite data with a resolution of 30 m. The NDVI data of spring wheat at milk ripening period of the satellite on 2009-07-29 were selected, and the relation between NDVI values and wheat yield data was built up. And the estimation model of spring wheat yield was established by using mathematical statistics and regression methods, with the precision validated estimation model by the ground survey spring wheat yield data. The results show that the image extracted NDVI has good singular parabolic line relation, y=cx2+bx+a with measured per hm2 yield of spring wheat. NDVI is closesly related with measurement of spring wheat yield, with the correlation coefficient R being 0.87, the yield estimation difference being -160 kg/hm2, and the error was -3. 89%. This indicates that the precision of yield estimation of premature spring wheat using the NDVI of China’s environmental disaster mitigation satellite and the model for measuring the yield of spring wheat can also gain the same predicted efficiency by using any foreign remote-sensing satellites.
DENG Kun-mei, SUN Jiu-lin, CHEN Peng-fei, WANG Juan-le, LIAO Shun-bao, YIN Fang, ZHU Hua-zhong, YANG Fei, YANG Ya-ping
. Estimation of Spring Wheat Yield by Remote Sensing Information from China’s Environmental Disaster Mitigation Satellite —Taking Chen Barag Banner of Inner Mongolia as an Example[J]. JOURNAL OF NATURAL RESOURCES, 2011
, 26(11)
: 1942
-1952
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DOI: 10.11849/zrzyxb.2011.11.013
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