Title: Utikuma Region Alberta High Resolution Lidar-Multispectral Peatland and Ecotone Classification
Citation: Chasmer, L., Jones, E., Devito, K., Hopkinson, C. (2024). Utikuma Region Alberta High Resolution Lidar-Multispectral Peatland and Ecotone Classification. Federated Research Data Repository. https://doi.org/10.20383/103.0892
Study Site: Lake Utikuma region, Alberta
Purpose: The objective of this study is to test a cost-effective, physically based Light Detection and Ranging (LiDAR) classification methodology for wetland and upland land cover types within an area exceeding 1,000 km2 in the Boreal Plains, Alberta, Canada. Decision criteria are based on physical attributes of the landscape that influence maintenance of land cover types.
Abstract: This includes high spatial resolution shape files of a wetland-peatland classification derived using multi-spectral WorldView-2 and lidar data of wetland class and peatland class and form for an area north of Utikuma Lake, Alberta Canada. The classification is based on a decision-tree classifier (Chasmer et al. 2016) with greater than 80% accuracy. Wetlands were identified in the original classification and separated into wetland class (bog, fen, marsh, swamp) and form (for peatlands only: open, shrub, treed). Peatland form was determined based on the density of tree/shrub data from lidar, topographic variability, and shape.
Supplemental Information Summary: An ecotonal classification (raster files) are also included as derived in Jones et al. (2024) based on lidar data.
Research:
Further Info: This dataset is cited by https://doi.org/10.1080/07038992.2016.1196583
This dataset continues https://doi.org/10.20383/103.0888
Status: Complete
Keywords:
remote sensing,
landcover,
classification,
Geographical coordinates: North: 56.11, South: 56 East: -115.31 West: -115.55
Bounding Temporal Extent: Start Date: 2008-01-01, End
Date: 2008-12-31
