Skip to main content

Inversion reflectance by apple tree canopy ground and unmanned aerial vehicle integrated remote sensing data

Abstract

To obtain accurate spatially continuous reflectance from Unmanned Aerial Vehicle (UAV) remote sensing, UAV data needs to be integrated with the data on the ground. Here, we tested accuracy of two methods to inverse reflectance, Ground-UAV-Linear Spectral Mixture Model (G-UAV-LSMM) and Minimum Noise Fraction-Pixel Purity Index-Linear Spectral Mixture Model (MNF-PPI-LSMM). At wavelengths of 550, 660, 735 and 790 nm, which were obtained by UAV multispectral observations, we calculated the canopy abundance based on the two methods to acquire the inversion reflectance. The correlation of the inversion and measured reflectance values was stronger in G-UAV-LSMM than MNF-PPI-LSMM. We conclude that G-UAV-LSMM is the better model to obtain the canopy inversion reflectance.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

References

Download references

Acknowledgements

This research was supported by the National Key Research and Development Program of China, 2017YFE0122500; National Natural Science Foundation of China, 41671346; Funds of Shandong “Double Tops” Program, SYL2017XTTD02; Shandong major scientific and technological innovation project: Research demonstration and extension of orchard irrigation and fertilization in accurate management, 2018CXGC0209; The Taishan Scholar Assistance Program from Shandong Provincial Government.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, R. Y. Y. and X. C. Z.; Data curation, R. Y. Y.; Investigation, R. Y. Y., X. C. Z., Z. Y. T. and X. Y. B.; Methodology, R. Y. Y.; Project administration, X. C. Z. and G. J. Y.; Resources, X. C. Z.; Software, R. Y. Y.; Supervision, Y. M. J. and G. J. Y.; Validation, X. C. Z., Z. Y. T. and X. Y. B.; Visualization, R. Y. Y.; Writing—original draft, R. Y. Y.; Writing—review and editing, R. Y. Y., X. C. Z. and Z. Y. T.

Corresponding author

Correspondence to Xicun Zhu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Yu, R., Zhu, X., Bai, X. et al. Inversion reflectance by apple tree canopy ground and unmanned aerial vehicle integrated remote sensing data. J Plant Res 134, 729–736 (2021). https://doi.org/10.1007/s10265-020-01249-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10265-020-01249-1

Keywords

  • Apple tree canopy
  • Integrated
  • Inversion
  • Reflectance
  • Remote sensing