Utikuma Region Alberta lidar canopy height model time series

Hopkinson, Christopher

https://ror.org/044j76961

University of Lethbridge

https://orcid.org/0000-0001-9906-7237

Jones, Emily A.

https://ror.org/044j76961

University of Lethbridge

https://orcid.org/0000-0001-8675-3369

Chasmer, Laura E.

https://ror.org/044j76961

University of Lethbridge

https://orcid.org/0000-0002-8062-1530

Devito, Kevin

https://ror.org/044j76961

University of Lethbridge

https://orcid.org/0000-0002-8216-0985

2024-01-31T21:45:47Z

2024-01-31T21:45:47Z

2024-01-31

https://www.frdr-dfdr.ca/repo/dataset/6f2e7048-5aae-4aec-9bc4-568074430ff4

https://doi.org/10.20383/103.0888

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.

Federated Research Data Repository / dépôt fédéré de données de recherche

Creative Commons Attribution 4.0 International (CC BY 4.0)

https://creativecommons.org/licenses/by/4.0/

airborne lidar

remote sensing

fire

boreal

regeneration

forest

peatland

airborne laser scanning

time series

Utikuma Region Alberta lidar canopy height model time series

f163c1b3-9c88-42f6-a7bb-5839ed6c4063

/1/published/publication_883/

2024

Chris Hopkinson

Laura Chasmer

Chris Hopkinson

2002-08-27/2019-07-29

Dataset

https://doi.org/10.1080/07038992.2016.1196583

https://doi.org/10.3390/rs11020161

https://doi.org/10.5589/m05-007

https://doi.org/10.20383/103.0892

56.05 -115.44

56.00 -115.55 56.11 -115.31

Lake Utikuma region;Slave Lake;Alberta;Canada

https://ror.org/01h531d29

Natural Sciences and Engineering Research Council of Canada

Collaborative Research and Development Grant for the HEAD2 Project; Devito

https://ror.org/002sgqx17

Western Economic Diversification Canada

000015316

Multi-spectral Titan lidar system to C. Hopkinson; 2019 lidar data

https://ror.org/01h531d29

Natural Sciences and Engineering Research Council of Canada

2017-04492

Discovery Grant to L. Chasmer

https://ror.org/01h531d29

Natural Sciences and Engineering Research Council of Canada

2017-04362

Discovery Grant to C. Hopkinson

https://ror.org/01h531d29

Natural Sciences and Engineering Research Council of Canada

NET-548629-19

NSERC Canada Wildfire SPG-Network grant with sub-award to Chasmer, Hopkinson

RDF1050901

Earth and related environmental sciences

Geomatics and earth systems observations

Geographic information system (GIS and GPS) applications

Sciences de la Terre et sciences de l'environnement connexes

Géomatique et observation des systèmes terrestres

Applications des systèmes d'information géographique (SIG et GPS)