Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3641-2025
https://doi.org/10.5194/essd-17-3641-2025
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: 5,196 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,294 1,785 117 5,196 103 150
  • HTML: 3,294
  • PDF: 1,785
  • XML: 117
  • Total: 5,196
  • BibTeX: 103
  • EndNote: 150
Views and downloads (calculated since 25 Nov 2024)
Cumulative views and downloads (calculated since 25 Nov 2024)

Viewed (geographical distribution)

Total article views: 5,196 (including HTML, PDF, and XML) Thereof 5,127 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 19 May 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.
Share
Altmetrics
Final-revised paper
Preprint