Skip to main content
Log in

Using drone-based multispectral imaging for investigating gravelly debris flows and geomorphic characteristics

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Field reconnaissance has difficulty in providing information on topographic features of debris flow in vegetation-covered mountain regions. The study used drone-captured multispectral imaging, digital terrain models, and geomorphic indices to investigate the sources and erosion patterns of gravelly debris flows in mountainous areas. Geomorphic indices, including the topographic wetness index (TWI), stream power index (SPI), sediment transport index, terrain ruggedness index (TRI), and the vegetation index normal differential water index (NDWI), were used to identify key topographic and hydraulic characteristics that contribute to the initiation of gravelly debris flows. The analysis revealed that the debris flows originated from the softening of yellow soil and the dislodging of gravel in loess areas, both induced by surficial water infiltration. Areas with high TWI and SPI values were vulnerable to erosion from surficial water, leading to the formation of erosion gullies. Likewise, regions with high TWI and NDWI values were likely starting points for upstream landslides. Conversely, areas characterized by low TWI and TRI values but high NDWI were prone to downstream sediment deposition. Drone-based multispectral imaging, augmented by geomorphic and vegetation indices, effectively captures the characteristics of vegetation-covered areas, thereby enhancing debris flow field investigations in an inaccessible mountain area.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

Data will be made available on request.

References

Download references

Acknowledgements

The comments of anonymous peer reviewers significantly improved this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by HWChen, CYChen, and PZYang. The first draft of the manuscript was written by CYChen and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chien-Yuan Chen.

Ethics declarations

Conflict of interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, HW., Chen, CY. & Yang, PZ. Using drone-based multispectral imaging for investigating gravelly debris flows and geomorphic characteristics. Environ Earth Sci 83, 247 (2024). https://doi.org/10.1007/s12665-024-11544-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-024-11544-y

Keywords

Navigation