Annual Tree Cover Loss from Landsat Satellite Imagery

Year-by-year tree cover loss data is derived from Landsat satellite images at a 30x30 meter resolution. The dataset results from a collaboration between the University of Maryland, Google, USGS, and NASA. It covers loss from 2001 onward, with an updated methodology applied from 2011.

Use Cases

• Model annual tree cover loss trends over time using the year-by-year loss feature.
• Analyze spatial patterns of vegetation replacement greater than 5 meters using the 30m resolution geospatial data.
• Compare pre-2010 and post-2011 loss data to assess methodological impacts on trend analysis.
• Map areas of stand-level vegetation change, distinguishing between natural and planted forest loss.

Strengths

• Data is produced from Landsat satellite imagery at a consistent 30x30 meter spatial resolution.
• Collaborative provenance from major institutions like University of Maryland, Google, USGS, and NASA.
• Provides annual time-series data from 2001 to the present.

Limitations

• Methodology changed in 2011, making direct comparisons between the 2001-2010 period and later years problematic.
• 'Tree cover loss' is a broader metric than 'deforestation' and includes non-human-caused changes, which may not suit all analyses.
• Specific sample size, geographic bounds, and data volume details are not provided.

Provenance

Source

University of Maryland, Google, USGS, and NASA collaboration.

Collection Method

Generated from Landsat satellite images using automated mapping techniques.

Time Range

2001 to present.

Geography

Global (area selection dependent).