Winter wheat biomass estimation using high temporal and spatial resolution satellite data combined with a light use efficiency model |
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| Authors: | Xin Du Taifeng Dong Kun Jia |
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| Institution: | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;2. National Engineering Research Center for Geoinformatics, Beijing, China;3. Eastern Cereal and Oilseed Research Centre, Agriculture and Agri-Food Canada, Ottawa, K1A 0C6, Ontario, Canada;4. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China;5. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing, China |
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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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| Keywords: | HJ CCD winter wheat biomass MODIS |
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