Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4397-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4397-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Data description article
 | 
08 Sep 2025
Data description article |  | 08 Sep 2025

Large-scale forest stand height mapping in the northeastern US and China using L-band spaceborne repeat-pass InSAR and GEDI lidar data

Yanghai Yu, Yang Lei, Paul Siqueira, Xiaotong Liu, Denuo Gu, Anmin Fu, Yong Pang, Wenli Huang, and Jiancheng Shi

Viewed

Total article views: 4,682 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,821 1,737 124 4,682 127 170
  • HTML: 2,821
  • PDF: 1,737
  • XML: 124
  • Total: 4,682
  • BibTeX: 127
  • EndNote: 170
Views and downloads (calculated since 14 Jan 2025)
Cumulative views and downloads (calculated since 14 Jan 2025)

Viewed (geographical distribution)

Total article views: 4,682 (including HTML, PDF, and XML) Thereof 4,642 with geography defined and 40 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 31 May 2026
Download
Short summary
This study proposes a global-to-local approach for estimating forest height by fusing repeat-pass synthetic aperture radar interferometry and Global Ecosystem Dynamics Investigation (GEDI) data. Using Advanced Land Observing Satellite (ALOS-1) data and a twofold strategy to address temporal gaps, the method produced 30 m gridded forest height mosaics for the northeastern United States and China, demonstrating promising accuracies and offering potential for fusing data from future missions.
Read more
Share
Altmetrics
Final-revised paper
Preprint