001     203427
005     20210129220357.0
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100 1 _ |0 P:(DE-HGF)0
|a Huang, Shanyu
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245 _ _ |a Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
260 _ _ |a Basel
|b MDPI
|c 2015
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520 _ _ |a Rice farming in Northeast China is crucially important for China’s food security and sustainable development. A key challenge is how to optimize nitrogen (N) management to ensure high yield production while improving N use efficiency and protecting the environment. Handheld chlorophyll meter (CM) and active crop canopy sensors have been used to improve rice N management in this region. However, these technologies are still time consuming for large-scale applications. Satellite remote sensing provides a promising technology for large - scale crop growth monitoring and precision management. The objective of this study was to evaluate the potential of using FORMOSAT-2 satellite images to diagnose rice N status for guiding topdressing N application at the stem elongation stage in Northeast China. Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China.
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|a Miao, Yuxin
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700 1 _ |0 P:(DE-HGF)0
|a Zhao, Guangming
|b 2
700 1 _ |0 P:(DE-HGF)0
|a Yuan, Fei
|b 3
700 1 _ |0 P:(DE-HGF)0
|a Ma, Xiaobo
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700 1 _ |0 P:(DE-HGF)0
|a Tan, Chuanxiang
|b 5
700 1 _ |0 P:(DE-HGF)0
|a Yu, Weifeng
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|a Gnyp, Martin
|b 7
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|a Lenz-Wiedemann, Victoria
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|a Rascher, Uwe
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700 1 _ |0 P:(DE-HGF)0
|a Bareth, Georg
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|g Vol. 7, no. 8, p. 10646 - 10667
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|t Remote sensing
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|y 2015
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