Biogeosciences
Biogeosciences
BG
Articles | Volume 21, issue 6
Articles | Volume 21, issue 6
https://doi.org/10.5194/bg-21-1411-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/bg-21-1411-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 6
Research article
 | 
19 Mar 2024
Research article |  | 19 Mar 2024

Synergistic use of Sentinel-2 and UAV-derived data for plant fractional cover distribution mapping of coastal meadows with digital elevation models

Ricardo Martínez Prentice, Miguel Villoslada, Raymond D. Ward, Thaisa F. Bergamo, Chris B. Joyce, and Kalev Sepp

Viewed

Total article views: 1,320 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,086 193 41 1,320 35 21
  • HTML: 1,086
  • PDF: 193
  • XML: 41
  • Total: 1,320
  • BibTeX: 35
  • EndNote: 21
Views and downloads (calculated since 01 Aug 2023)
Cumulative views and downloads (calculated since 01 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,320 (including HTML, PDF, and XML) Thereof 1,333 with geography defined and -13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
Despite hosting a wide range of ecosystem services, coastal wetlands face threats from global changes. This study models the plant fractional cover of plant communities in Estonian coastal meadows with a synergistic use of drone, satellite imagery and digital elevation models. This approach highlights the significant contribution of digital elevation models to multispectral data, enabling the modelling of heterogeneous plant community distributions in such wetlands.
Read more
Special issue
Monitoring coastal wetlands and the seashore with a multi-sensor...
Altmetrics
Final-revised paper
Preprint