A showcase of ÉTS researchers’ publications and other contributions

A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests


Downloads per month over past year

Dharmadasa, Vasana, Kinnard, Christophe and Baraër, Michel. 2024. « A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests ». Cold Regions Science and Technology, vol. 220.

[thumbnail of Baraer-M-2024-28388.pdf]
Baraer-M-2024-28388.pdf - Published Version
Use licence: Creative Commons CC BY.

Download (8MB) | Preview


Obtaining accurate snow depth estimates under dense canopies using airborne lidar (light detection and ranging) techniques is challenging due to the under-sampling of ground and snow surfaces. Existing interpolation techniques do not adequately address this problem and they often result in an overestimation of under-canopy snow depths. To address this issue, we introduce and evaluate a new interpolation method that incorporates intracanopy snow depth variability to provide more accurate estimations at unsampled locations. Four interpolation methods were tested, considering systematic trends (landscape trend, canopy vs. gap trend, and intra-canopy trend) along with spatial interpolation of the residuals. Our results show that spatial interpolation methods without consideration of trends are sufficient to capture and reconstruct the small-scale variability of snow depths below a separation distance of 1 m between sampled and unsampled locations, (i.e., ground surface point density > 1 pt. m▯ 2). However, beyond a separation distance of 2.5–3 m (point density < 0.33–0.40 pt. m▯ 2), spatial interpolation based on proximity alone becomes unreliable because point separation becomes larger than the snow depth spatial correlation scale. Within these limiting distances, the method that incorporates trends along with spatial interpolation techniques can resolve the small-scale variability and thereby reduce the likely overestimation of snow depths under the canopy.

Item Type: Peer reviewed article published in a journal
Baraër, Michel
Affiliation: Génie de la construction
Date Deposited: 04 Mar 2024 15:50
Last Modified: 11 Mar 2024 16:08

Actions (login required)

View Item View Item