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 paper
 | 
30 Jul 2025
Data description paper |  | 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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-488', Fabian Fischer, 23 Jan 2025
  • RC2: 'Comment on essd-2024-488', Anonymous Referee #2, 25 Jan 2025
  • AC1: 'Response to reviewers' comments on essd-2024-488', Yifang Shi, 26 Apr 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yifang Shi on behalf of the Authors (28 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (06 May 2025) by Sander Veraverbeke
RR by Anonymous Referee #2 (08 May 2025)
ED: Publish as is (15 May 2025) by Sander Veraverbeke
AR by Yifang Shi on behalf of the Authors (21 May 2025)  Manuscript 
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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.
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