Description:	The dataset includes 6 x 5 m resolution raster canopy height models derived from multiple return airborne laser scanning (ALS) datasets (all sampled at >1pt / m2) collected during the growing seasons of 2002, 2008, 2011 (pre-fire), 2016, 2018, and 2019 (post-fire). Some areas have undergone shorter fire return interval as fire burned part of the area in 1956, 2011, and in both 1956 and 2011. ALS data sources: 2002 collected by Optech Inc. (Toronto, Ont.) using an airborne laser terrain mapper (ALTM) 2050 as part of the HEAD project (University of Alberta, University of Western Ontario) 2008 collected by Airborne Imaging Inc. (Calgary, AB) with an Optech Inc. ALTM 3100 and licensed to the Government of Alberta. 2011 collected using an Optech Inc. ALTM 3100 by AGRG and C-CLEAR (Nova Scotia Community College) 2016, 2018, 2019 collected using a Teledyne Optech Inc. Titan multi-spectral lidar by the ARTeMiS Lab, University of Lethbridge. All data share a common spatial reference frame and datum (UTM WGS84, zone 11N). Elevations are given in ellipsoidal height. Canopy height models were derived based on the maximum height within 1 m x 1 m cells, subtracted from the ground digital elevation model. These were resampled to 5 m x 5 m cells to reduce the influence of lower return densities found in older datasets and thus improve the accuracy of time-based comparisons. For more information on the raw datasets and associated time series analysis, see: Jones, Chasmer, Devito, Hopkinson, 2024. Shortening fire return interval predisposes west-central boreal peatlands to more rapid vegetation growth and transition to forest cover. Global Change Biology.
Authors:	Hopkinson, Christopher; University of Lethbridge; 0000-0001-9906-7237 Jones, Emily A.; University of Lethbridge; 0000-0001-8675-3369 Chasmer, Laura E.; University of Lethbridge; 0000-0002-8062-1530 Devito, Kevin; University of Lethbridge; 0000-0002-8216-0985
Keywords:	airborne lidar remote sensing fire boreal regeneration forest peatland airborne laser scanning time series
Field of Research:	Earth and related environmental sciences > Geomatics and earth systems observations > Geographic information system (GIS and GPS) applications
Publication Date:	2024-01-31
Publisher:	Federated Research Data Repository / dépôt fédéré de données de recherche
Funder:	Natural Sciences and Engineering Research Council; Collaborative Research and Development Grant for the HEAD2 Project; Devito Western Economic Diversification Canada; Multi-spectral Titan lidar system to C. Hopkinson; 2019 lidar data; 000015316 Natural Sciences and Engineering Research Council; Discovery Grant to L. Chasmer; 2017-04492 Natural Sciences and Engineering Research Council; Discovery Grant to C. Hopkinson; 2017-04362 Natural Sciences and Engineering Research Council; NSERC Canada Wildfire SPG-Network grant with sub-award to Chasmer, Hopkinson; NET-548629-19
URI:	https://doi.org/10.20383/103.0888
Related Identifiers:	This dataset is cited by https://doi.org/10.1080/07038992.2016.1196583 This dataset is cited by https://doi.org/10.3390/rs11020161 This dataset is cited by https://doi.org/10.5589/m05-007 This dataset continues https://doi.org/10.20383/103.0892
Geographic Coverage:	Place Name Lake Utikuma region City Slave Lake Province / Province / Territory Alberta Territory   Country Canada
Geolocation Box:	West Longitude -115.55 East Longitude -115.31 North Latitude 56.11 South Latitude 56.00
Geographic Point:	Latitude 56.05 Longitude -115.44