Anthropogenic Linear Disturbance Features from Satellite Imagery

Surface disturbance linear features digitized from high-resolution satellite imagery and orthophotos. The dataset includes adapted features from the National Road and Railway Networks, with attributes for width, industry type, disturbance classification, and imagery source metadata.

Use Cases

• Classify TYPE_INDUSTRY and TYPE_DISTURBANCE using WIDTH_M and WIDTH_CLASS to map industrial activity footprints.
• Analyze the correlation between IMAGE_RESOLUTION and SCALE_CAPTURED for digitization accuracy assessment.
• Track feature provenance and update status using the DATABASE field (Historic, Most Recent, Retired).
• Assess environmental impact by aggregating disturbance lengths and widths per industry classification.

Strengths

• Features digitized from high-resolution satellite imagery and orthophotos.
• Includes detailed metadata columns like IMAGE_SENSOR, IMAGE_RESOLUTION, and IMAGE_DATE.
• Disturbance width is captured both as a numeric measurement (WIDTH_M) and a classified category (WIDTH_CLASS).

Limitations

• Row count and total geographic coverage are unknown.
• Proposed linear features are explicitly excluded from the dataset.
• Some disturbance types, like 'Unknown linear mining disturbance', indicate incomplete classification.

Provenance

Source

Government of Yukon

Collection Method

Digitized from imagery; includes adapted data from the National Road Network and National Railway Network.

Time Range

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Freshness

Last updated March 2026.

Geography

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