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Estimation of Sugar Beet Aboveground Biomass by Band Depth Optimization of Hyperspectral Canopy Reflectance

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Abstract

Aboveground biomass of sugar beet influences tuber growth and sugar accumulation. Thus, accurate, rapid, and non-destructive technique of biomass estimation is important to optimize the crop management practices to attain the required aboveground biomass to support high tuber yields and optimal sugar content. The current research aimed to evaluate the performance of hyperspectral indices and band depth analysis, to remotely assess the aboveground biomass in sugar beet. The biomass and hyperspectral reflectance were collected at different growth stages in experimental and farmers’ fields. The model development was based on sugar beet plants sampled at various times during the growing period subject to seven nitrogen rates. The results showed that accuracy of biomass estimation was greater when using vegetation indices involving red edge bands (680–740 nm) as compared to that using the red light-based indices. Four types of optimized band depth information (band depth, band depth ratio, normalized band depth index, and band depth normalized to band area) involving the red edge further increased the accuracy of biomass estimation. This study demonstrated as the sugar beet biomass increased towards later growing period, biomass estimation using red light-based vegetation indices were less accurate as compared to that using band depth analysis in the vicinity of the red edge.

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Acknowledgements

The study was funded by National Natural Science Foundation of China (41261084) and special fund for the Modern Agricultural Industry Technology System of China (CARS-210402).

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    Authors and Affiliations

    1. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China

      Haiqing Tian, Hui Wang & Zhe Li

    2. College of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010019, China

      Shude Shi

    3. ChiFeng Comprehensive Experimental Station, Sugar Beet Industrial Technology Research and Development Center, Inner Mongolia Agricultural University, Hohhot, 010019, China

      Shude Shi

    4. College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Hohhot, 010019, China

      Fei Li

    5. Kuwait Institute for Scientific Research, Desert Agriculture and Ecosystem Program, Environment and Life Science Research Center, Safat, 13109, Kuwait

      Ashok Alva

    6. College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, 010018, China

      Ziyi Zhang

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    1. Haiqing Tian
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    Correspondence to Ziyi Zhang.

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    Haiqing Tian and Shude Shi contributed equally to this work.

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    Tian, H., Shi, S., Wang, H. et al. Estimation of Sugar Beet Aboveground Biomass by Band Depth Optimization of Hyperspectral Canopy Reflectance. J Indian Soc Remote Sens 45, 795–803 (2017). https://doi.org/10.1007/s12524-016-0632-z

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    • DOI: https://doi.org/10.1007/s12524-016-0632-z

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