Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

@article{Yue2017EstimationOW,
  title={Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models},
  author={Jibo Yue and Guijun Yang and Changchun Li and Zhenhai Li and Yanjie Wang and Haikuan Feng and Bo Xu},
  journal={Remote Sensing},
  year={2017},
  volume={9},
  pages={708}
}
Correct estimation of above-ground biomass (AGB) is necessary for accurate crop growth monitoring and yield prediction. We estimated AGB based on images obtained with a snapshot hyperspectral sensor (UHD 185 firefly, Cubert GmbH, Ulm, Baden-Württemberg, Germany) mounted on an unmanned aerial vehicle (UAV). The UHD 185 images were used to calculate the crop height and hyperspectral reflectance of winter wheat canopies from hyperspectral and panchromatic images. We constructed several single… CONTINUE READING
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Hyperspectral Remote Sensing of Vegetation Bioparameters

  • R. Pu, P. Gong
  • CRC Press: Boca Raton, FL,
  • 2011
Highly Influential
12 Excerpts

Washington, DC, USA, 1974; pp

  • J. Rouse, H. Haas, +4 authors NASA
  • 1–371. Available online: https://ntrs.nasa.gov…
  • 2017
Highly Influential
11 Excerpts

Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements

  • Y. Y. Fu, G. J. Yang, J. H. Wang, X. Y. Song, H. K. Feng
  • Comput. Electr. Agric
  • 2014
Highly Influential
13 Excerpts

Estimation of leaf water content in winter wheat using grey relational analysis-partial least squares modeling with hyperspectral data

  • X. Jin, X. Xu, X. Song, Z. Li, J. Wang, W. Guo
  • Agron. J
  • 2013
Highly Influential
15 Excerpts

Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

  • C. Atzberger, M. Guérif, F. Baret, W. Werner
  • Comput. Electr. Agric
  • 2010
Highly Influential
14 Excerpts

Lai and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

  • R. Darvishzadeh, A. Skidmore, M. Schlerf, C. Atzberger, F. Corsi, M. Cho
  • Isprs J. Photogramm. Remote Sens
  • 2008
Highly Influential
14 Excerpts

Assessment of rice leaf growth and nitrogen status by hyperspectral canopy reflectance and partial least square regression

  • H. T. Nguyen, B. W. Lee
  • Eur. J. Agron
  • 2006
Highly Influential
14 Excerpts

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