Non-Classified Drainage Mapping and Flood Susceptibility for Mount Rose Swanson

High-resolution LiDAR data were used to map small, ephemeral drainages and assess flood susceptibility in the Mount Rose Swanson area of British Columbia, Canada. Including these non-classified drainages increased total stream length and drainage density by 48.4%, shifting areas of moderate flood susceptibility from 1162.35 to 1516.95 hectares. The dataset was created by Jean Zhang and last updated in May 2026.

Use Cases

• Modeling flood susceptibility based on topographic, hydrologic, and land surface variables mentioned in the description
• Analyzing the impact of small headwater channels on drainage network complexity
• Comparing watershed management scenarios with and without non-classified drainages
• Mapping hydrologically sensitive areas using high-resolution digital elevation models

Strengths

• Based on high-resolution LiDAR data, which suggests detailed terrain information
• Quantifies specific changes in flood susceptibility areas, such as a 48.4% increase in drainage density
• Compares two distinct stream network scenarios (including vs. excluding non-classified drainages)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is specific to the Mount Rose Swanson study area, limiting generalizability

Provenance

Source

Borealis Harvested Dataverse

Collection Method

High-resolution LiDAR data were used to generate a digital elevation model and delineate stream networks.

Freshness

Last updated 2026-05-02 04:11:19

Geography

Mount Rose Swanson, British Columbia, Canada