Annual Woody Vegetation Change Classes From Landsat Imagery

Vegetation change products identify transitions between forest, sparse woody, and non-woody classifications annually. The data, created by Landgate, tracks six change classes from 1992 to 1995 using 30-meter resolution Landsat imagery.

Use Cases

• Analyze transitions between forest, sparse woody, and non-woody classifications to monitor land cover change.
• Map areas of forest to non-woody change to quantify deforestation over the 1992-1995 period.
• Identify regions of non-woody to sparse woody change for studying natural revegetation or afforestation.

Strengths

• Annual production provides consistent time-series data for change detection.
• Based on Landsat imagery offering 30-meter ground pixel resolution.
• Defines six specific change classes for detailed transition analysis.

Limitations

• Data is temporally limited, covering only the four-year period from 1992 to 1995.
• The specific spatial coverage (geography) is not defined in the provided input.

Provenance

Source

Landgate

Collection Method

Derived from vegetation cover datasets based on Landsat imagery.

Time Range

1992-1995

Freshness

null

Geography

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