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Abstract
Winter wheat biomass was estimated using HJ CCD and MODIS data, combined with a radiation use efficiency model. Results were validated with ground measurement data. Winter wheat biomass estimated with HJ CCD data correlated well with observed biomass in different experiments (coefficients of determination R2 of 0.507, 0.556 and 0.499; n = 48). In addition, R2 values between MODIS estimated and observed biomass are 0.420, 0.502 and 0.633. Even if we downscaled biomass estimated using HJ CCD data to MODIS pixel size (9 × 9 HJ CCD pixels to approximate that MODIS pixel), R2 values between estimated and observed biomass were still higher than those from MODIS. We conclude that estimation with remote sensing data, such as the HJ CCD data with high spatial resolution and shorter revisit cycle, can show more detail in spatial pattern and improve the application of remote sensing on a local scale. There is also potential for applying the approach to many other studies, including agricultural production estimation, crop growth monitoring and agricultural ecosystem carbon cycle studies.
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Acknowledgements
We would like to thank the China Centre for Resources Satellite Data and Application, the Yucheng site and the Land Processes Distributed Active Archive Center for data support. This study was supported by National Natural Science Foundation of China (grant number 41301497), the Key Research Program of the Chinese Academy of Sciences (grant number KZZD-EW-08-05) and the Director Foundation of the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences.