Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3641-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3641-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Data description article
 | 
30 Jul 2025
Data description article |  | 30 Jul 2025

Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands

Yifang Shi, Jinhu Wang, and W. Daniel Kissling

Viewed

Total article views: 4,481 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,955 1,437 89 4,481 90 138
  • HTML: 2,955
  • PDF: 1,437
  • XML: 89
  • Total: 4,481
  • BibTeX: 90
  • EndNote: 138
Views and downloads (calculated since 25 Nov 2024)
Cumulative views and downloads (calculated since 25 Nov 2024)

Viewed (geographical distribution)

Total article views: 4,481 (including HTML, PDF, and XML) Thereof 4,439 with geography defined and 42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Mar 2026
Download
Short summary
We present a new set of multi-temporal lidar metrics of ecosystem structure derived from four national ALS (airborne laser scanning) surveys of the Netherlands (AHN1–AHN4), capturing vegetation height, cover, and structural variability over the last 2 decades (1998–2022). Around 70 TB point clouds have been processed to ready-to-use raster layers at 10 m resolution (~ 59 GB), enabling a wide use and uptake of ecosystem structure information in biodiversity and habitat monitoring and ecosystem and carbon dynamic modelling.
Read more
Share
Altmetrics
Final-revised paper
Preprint