Preprints
https://doi.org/10.5194/essd-2025-520
https://doi.org/10.5194/essd-2025-520
06 Oct 2025
 | 06 Oct 2025
Status: this preprint is currently under review for the journal ESSD.

Airborne laser scanning transects over Canada's northern forests: lidar plots for science and application

Christopher W. Bater, Joanne C. White, Hao Chen, Piotr Tompalski, Txomin Hermosilla, Jonathan Boucher, and Michael A. Wulder

Abstract. Mapping vegetation is required for monitoring the condition of forest resources. Satellite data provide information on land cover and change; however, forest structural attributes are difficult to model without additional measurements from ground plots or airborne laser scanning (ALS, also known as airborne light detection and ranging or lidar) instruments. Over large and inaccessible areas, such as Canada's northern and predominantly unmanaged forests, ground plots are expensive, difficult to install, and unlikely to form a statistically valid probability sample. An alternative means to obtain information regarding forest structure in these situations is samples of ALS (hereafter lidar plots). Transect-based samples of ALS data can be used to provide structural information for the calibration and validation of spatially explicit predictive modelling for wide-area mapping of forest attributes. Here we describe and share data from the recent acquisition and processing of ALS transects across Canada's northern forests. To date, approximately 43,000 km of ALS transects have been acquired in 2023 and 2024, with additional coverage ongoing for 2025. Acquisition flight lines were designed to sample a range of northern forest conditions and to correspond with a concurrent ground plot sampling campaign. Airborne laser scanning data were processed into height-normalized point clouds and reprojected to a custom Lambert conformal conic projection to align with existing national satellite information products. More than 15 million 900 m2 lidar plots were generated from the 2023 transect dataset with point cloud metrics (i.e., area-based statistical summaries of the ALS point cloud) calculated for each 30 by 30 m cell. Presently, the 2023 lidar plots and their associated point cloud metrics are stored in openly available SQLite GeoPackages, with additional annual transect collections to be added when available. To accommodate a wide range of users and applications, both comprehensive and abridged versions of the metric databases, with 369 metrics and 40 metrics, respectively, are shared. The framework that led to the data shared here is portable to other areas with similar information needs. The data structure used was designed to enable updates with additional open access databases of ALS transects as data acquisition and processing are completed. This open-access dataset constitutes a vital resource for the scientific and operational forestry communities, offering detailed and scalable measures that bridge the gap between ground observations and wall-to-wall satellite-based inventories. These data will support the development of enhanced wildfire fuels maps, forest inventories, and carbon products.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Christopher W. Bater, Joanne C. White, Hao Chen, Piotr Tompalski, Txomin Hermosilla, Jonathan Boucher, and Michael A. Wulder

Status: open (until 12 Nov 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2025-520', Henning Buddenbaum, 07 Oct 2025 reply
    • AC1: 'Reply on RC1', Christopher Bater, 07 Oct 2025 reply
      • AC2: 'Reply on AC1', Christopher Bater, 07 Oct 2025 reply
Christopher W. Bater, Joanne C. White, Hao Chen, Piotr Tompalski, Txomin Hermosilla, Jonathan Boucher, and Michael A. Wulder

Data sets

Lidar plots and point cloud metrics derived from airborne laser scanning transects acquired over forests in northern Canada. C. Bater et al. https://doi.org/10.5281/ZENODO.16782860

Christopher W. Bater, Joanne C. White, Hao Chen, Piotr Tompalski, Txomin Hermosilla, Jonathan Boucher, and Michael A. Wulder

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Short summary
We describe a new dataset derived from airborne laser transects collected across northern Canada. ALS transects bridge the gap between ground measurements and satellite mapping, providing a powerful new resource to understand, monitor, and manage northern forests. The lidar plots and point cloud metrics described form part of an open-data initiative to enhance structural information. This dataset supports key applications in forest inventory, wildfire risk assessment, and ecosystem monitoring.
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