Articles | Volume 22, issue 17
https://doi.org/10.5194/bg-22-4349-2025
https://doi.org/10.5194/bg-22-4349-2025
Research article
 | 
04 Sep 2025
Research article |  | 04 Sep 2025

Forestlines in Italian mountains are shifting upward: detection and monitoring using satellite time series

Lorena Baglioni, Donato Morresi, Matteo Garbarino, Carlo Urbinati, Emanuele Lingua, Raffaella Marzano, and Alessandro Vitali

Viewed

Total article views: 464 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
363 85 16 464 18 26
  • HTML: 363
  • PDF: 85
  • XML: 16
  • Total: 464
  • BibTeX: 18
  • EndNote: 26
Views and downloads (calculated since 10 Apr 2025)
Cumulative views and downloads (calculated since 10 Apr 2025)

Viewed (geographical distribution)

Total article views: 464 (including HTML, PDF, and XML) Thereof 464 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Sep 2025
Download
Short summary
We propose a method for the automated detection of the uppermost forest lines with the aim of supporting their monitoring through a replicable mapping that can be adopted in different geographical contexts and at different scales of analysis according to the available datasets. We adopted a trend analysis of Landsat-based wetness and greenness index time series of the last 40 years, detecting an increase in forest cover along the forest line ecotone in both the Italian Alps and the Apennines.
Share
Altmetrics
Final-revised paper
Preprint